AI, Machine learning, Computer vision, NLP

Your challenge is our inspiration — we build customer software solutions for the most challenging of projects.

 

Since 2003, ISS ART’s custom software developers have been helping the world’s top companies to turn their dreams into reality.

 

Our focus:

  • Machine learning - object detection and recognition, classification, clustering, forecasting
  • Data Science - understanding the data and underlying processes, insights extraction
  • Data warehouse and Big Data - data warehouse design, ETL, complex reporting based on data
  • Computer Vision - object detection and recognition, pattern recognition, optical character recognition
  • Natural Language Processing & Text Analysis - chat-bots, text parsing and information extraction, full-text search
  • Internet of Things - software for smart home, smart office, smart retail, smart supply chain, wearables

 

Our key technologies: 

  • Python, OpenCV, Tensorflow
  • IBM Watson, Google AI services
  • Web applications (Java, Python)
  • C++, C#
  • Swift, Objective C (iPhone, iPad), Xamarin, Kotlin
  • JavaScript, ReactJS, React Native, Redux, HTML5, CSS
  • RDBMS MySQL, Oracle, PostgreSQL, MS SQL, ANSI SQL, PL/SQL

 

Our  Services:

  • MVP
  • POC
  • R&D
  • System and Business Analysis
  • QA services
  • UI/UX Design
  • Troubleshooting
  • Technical and business solutions audit
 
$10,000+
 
$25 - $49 / hr
 
50 - 249
 Founded
2003
Show all +
San Francisco, CA
headquarters
  • 820 Post Street
    San Francisco, CA 94109
    United States
other locations
  • 2 Ulitsa Syezdovskaya
    Omsk 644010
    Russia
  • 10 Ulitsa Maerchaka
    Krasnoyarsk 660075
    Russia

Portfolio

Key clients: 
The top companies in manufacturing, construction, and more, call on our expertise for high-end software solutions. BigBrassBand, Cassantec (recently acquired by ABB), JNet Direct are among them.
An ML based solution for photo processing Image

An ML based solution for photo processing

Our client is an agency specialized in high-volume image processing. They already had theirown image processing algorithms for extracting images from backgrounds but it didn’t work for all types of backdrops they wanted to operate with.That is why they came to us with a clear task, to develop a more suitable solution.

The main application area of the project is photo processing. One of the most common andsought-after

tasks here is to replace the original backdrop of an image due to the need eitherto fix some issues with a background or to make the image more impressive and unique ingeneral. It is also one of the most time-consuming and tedious tasks in the area ofphotographic processing.

Doing this process manually will take an average specialist significantly more time than doing it automatically with an algorithm.

There’s plenty of solutions designed to help specialists with that task on the market built with Computer Vision mathematical algorithms and Machine Learning approach. However, the existing solutions proved to be either too slow for the real production needs or not precise enough.

Challenges

Within this project, we've tested several state-of-the-art neural network architectures in application to the problem of accurate segmentation and computing the transparency levels for border pixels. This work is intended for processing photos with people captured in full length.

Solutions

We've overcome several challenges connected with optimaldata preprocessing necessary for training the network andprocessing the high-resolution images keeping their originalsize by making and aggregating predictions for overlappingpatches.

Results

The project comes up with the solution which helps photomontage specialists to handle high-volumetasks with the required speed and precision where 4000 x 3000-pixel images can be processed inroughly 5 seconds. The resulting solution operates with the following types of backdrops:

- natural,

- painted,

- lastolite.

Business value

A twofold reduction in time spent by designers on photo processing;

The payback time for the project was 2 months.

An algorithm to recognize dead and live cells in yeast images Image

An algorithm to recognize dead and live cells in yeast images

This project started as an idea of our client who has a private brewery. He wanted to use amodern solution to optimize the workflow. His idea was related to cell analysis using amicroscope. The primary use of microscopes in the brewery and cell counts is that they areuseful for determining pitching rate, remaining cell density when bottling beer anddetermining yeast densities in yeast sediment.

Doing this process

manually, without an algorithm can take from 30 minutes to an hour.

Challenges

Our main challenge with this project was to perform cell recognition in order to understand how many of them are deadand how many are alive.

Solutions

We have developed a script, that receives microscope images as input and marks dead cells on them. As an output, the script returns images with marked cells on them.

Business value

By using an algorithm for this task and not doing this process manually you can save an hour a day of your worker. And if we assume that the average working day lasts 8 hours, we’ve successfully saved 12,5% of an average business day.

Concrete crack detection algorithm Image

Concrete crack detection algorithm

One of our current projects is about training a model that performs crack detection on concrete slabs. The main goal is to optimize the process in production. Cracks on the surface are a major defect in concrete structures. Timely crack detection helps construction companies and concrete product manufacturers to prevent potential losses.

There are various approaches to solving this problem, some of them involve manual

inspection and others are based on automatic detection methods. Nowadays, the increased efficiency of modern neural network models and Computer Vision technologies makes anautomatic approach out of competition compared to the manual one, allowing to optimizethe process without losing any accuracy.

Crack detection is the semantic segmentation problem. Semantic segmentation refers to theprocess of linking each pixel in an image to a class label. In this case, we need to find allpixels of cracks on the photo of a concrete structure.

Challenges

  1. The images were 11664X8750 px resolution and the crackswere so small that after fragmentation we end up with a hugeimbalance in our training data set.
  2. Almost all of the cracks in the training dataset werehorizontal. However, in reality, there are common bothhorizontal and vertical types of cracks.

Solutions

  1. We had to split each image into 256X256 px overlappingtiles. Each image was divided into about 1600 sampleswithout cracks and 150 with ones to balance the dataset.
  2. We have performed data augmentation – a technique toartificially create new training data from existing training data. We had to make the following transformations to get a good diversity of input data:

- Flip each image horizontally and vertically;

- Rotate each image at different angles;

- Change brightness and contrast settings of each image in different ways;

- Apply Gaussian blur.

Results

The metric to evaluate our model was the Sørensen–Dice coefficient. After training, the value of thismetric is 95% on the train set and 93% on the validation set.

Business value

The solution helped our client to automate the process of concrete cracks detection in production and almost eliminate the need for human participation in it. This means that our solution can save a company from at least 20 human hours a week (or around $20,000/year) for each production line.

A solution to identify a brand-specific style Image

A solution to identify a brand-specific style

The main goal of the project was to build a solution to identify a brand-specific style using images as a data source. Style is defined as a well-known color scheme, image composition and anything that may help one to affiliate an image with some brand. For example, with theBMW trademark. In other words, we were faced with the task of classifying images.

Challenges

  1. Сars in the images might
distractthe neural network from its main focus (which is thebackground).
  • The dataset was not big enough to achieve the required accuracy of 95% - it was only 2000 images when we needed at least 10 times more.
  • Solutions

    1. We used the Darknet YOLOv3 algorithm to detect cars in the images; removed the rectangle bounding machine/machines– replaced it with a fully transparent color;cut a randomrectangle if there were no cars in an image. It was necessaryto provide the dataset homogeneity. Otherwise, images with and without rectangles would be split into 2 different classesand it will spoil the classification.
    2. We have performed data augmentation and created 10 newimages from each input image with applying small transformations – rotating, scaling, horizontally flipping,filtering (changing brightness, contrast, colors of images).Now the dataset was rich enough to use it for training.
    3. We have built a model that steadily copes with its purpose. The accuracy value for ourclassification is 95% on the test data. In the future, with the appearance of new data (new BMWadvertising campaigns, for example), it will also be possible to train a model on these images and improve neural network accuracy.

    Business value

    Such a solution could help young specialists in the Product design area with making sure their ownprojects are not plagiarizing any unique traits of well-known brands and are distinctive enough on its own.

    A mobile application to find recharge stations for mobile devices Image

    A mobile application to find recharge stations for mobile devices

    The app is aimed at users who urgently need to charge their phone and do not have a chargerand/or a socket at hand. It allows users to find the closest JumpStart charging station byusing integrated Google Maps service, get access to an available power bank by scanningthe station’s QR code, connect their phone to get necessary amount of battery charge and then automatically pay for the service with the credit card they have

    linked to their profile in amobile app.

    For this, we have implemented the following features & capabilities:

    • Facebook, Google and Ordinary login via e-mail and password;
    • Google Maps integration & Venue Ratings;
    • QR Code scanner;
    • Live power bank status tracking;
    • Credit card scanner;
    • Transaction list (Cost, Duration & Venue);
    • High-security encryption;
    • Third-party hardware control services integration;
    • Android & Apple devices compatibility.

    Challenges

    1. Integration with third party's service API that controls thehardware appeared to be a big challenge since the webservice, which was preferred by Client, was not completelystable and we had to deal with version control issues as well.
    2. From a technical point of view, the main idea of the projectwas to create a multi-platform module. Developing separateapplications for different systems was not an option so wehad to create a module that would be compatible with bothiOS and Android.

    Solutions

    1. We have contacted the team that develops this service andjointly implement the changes that were required for furtherintegrations. The version control workflow was establishedand both systems life cycles were the life cycles of bothsystems proceed/flow in accordance with one another.
    2. Our front-end developer has studied the design ofmulti-platform application architecture and the principles ofrelevant technologies operation to put them in practicefurther. Thus we have created a flexible multi-platformapplication using Kotlin-Multiplatform technology that runsperfectly on both Android and iOS devices.

    Several charging stations have already been set up among some of the Australian hotels. The mobile app is available in App Store and Google Play. It allows users to interact with the stations as intended and make an automatic payment transaction afterward. Payment is charged for every 15 minutes of power bank usage.

    An application to identify amphibians Image

    An application to identify amphibians

    Client

    A group of scientists performing research on amphibians

    Business challenge

    The main objective of these researches is to learn different changes in the animal population, changes in sex percentage, etc.

    There are 22 different amphibian species inhabiting Germany with numerous specimens in each of those. It costs $10 to make a single injection needed for

    tracking a single amphibian. The injection is needed to highlight the unique natural pattern used to identify an individual amphibian among the same species. The injection must be done twice a year. The injection itself is a quite stressful and harmful activity. In some cases, it might result in the death of an amphibian. 

    The only existing software that can be used as a not harmful alternative to the injections is designed for desktop, and the species recognition here costs €700.

    So, our Client was looking for a cheaper and more humane method of tracking amphibians.

    Solution

    The application built by our team performs an individual recognition of animals in the wild with individual patterns. It is a modern approach using computer vision and machine learning which allows fast and reliable recognition of individuals within existing population databases.

    Business value

    • A much less expensive method of tracking amphibians than those that are used nowadays
    • Unlike other existing methods of tracking, this one is humane
    • The Pay-Back period was 18 month

    Technologies

    Dagger (Dependency Injection), GoogleMaps, Java, Kotlin, Ktor, OpenCV, PostgreSQL, Retrofit, Spring boot 2, Spring Data, Vaadin 10

    Areas of expertise

    Machine learning, computer vision, image processing, Google Maps, custom UI widgets, user settings persistence, camera API

    Team

    2 analyst, 4 developers, 1 QA specialist, 1 project manager

    An AI-bot and a web Admin panel Image

    An AI-bot and a web Admin panel

    Client

    A large company call center

    Business challenge

    The Client wanted to achieve the following:

    • Reduce costs by optimizing the workload of call center operators;
    • Make the company’s support focus on more complicated and important requests from Customers and Prospects rather than on routine ones (e.g. cancel advertising);
    • Increase Customers and
    Prospects’ loyalty by improving the quality of requests handling.

    Solution

    Our team implemented the system which includes AI-bots (AI Bot for calls, Facebook and email Bots) and a web Admin Panel. 

    The AI bot allows Customers and Prospects of this company to get quick and high-quality service for advertising cancellation. 

    The admin panel is used by the specialists of the company. The Panel lets them monitor and analyze the dialogues between the bot and Customers, Prospects in order to improve the AI bot.

    Business value

    • The system has allowed this Company to reduce expenses on customer service by about 4,7% per month, compared to the previous period;
    • The project implementation paid off in less than 2 months.

    Technologies

    Java, Java Spring, JavaScript, Python, ReactJS

    Areas of expertise

    External services integration (Twilio, DialogFlow, Google Cloud), Speech-to-Text and Text-to-Speech transformation, Natural language processing

    Team

    7 employees

    Data analysis app for medical garment usage prediction Image

    Data analysis app for medical garment usage prediction

    Client

    A supplier for healthcare facilities

    Business challenge

    Optimization and automation of inventory replenishment process

    Solution

    We built a model that predicts the usage of inventory by employees. It was built with CNNs (convolutional neural networks) on Tensorflow.

    Tech details: every item has an RFID mark. Usage of every item is logged by the

    system: who took it, when, where, and when it was released.

    A model receives a two-weeks usage historical data and predicts usage of every type of item for every day of the upcoming week. Internally, it converts the log into a matrix and passes to CNN. Then CNN produces a matrix of predicted demand for every day and a gear model.

    Business value

    • The implemented solution allowed our client to save up to €20.000 per year
    • The implementation of the project took 2 weeks and paid off in one quarter

    Technologies

    Google BigQuery, Python, TensorFlow

    Areas of expertise

    Data Science, neural networks, Google services integration, Big data

    Team

    1 developer, 1 project manager

    SaaS solution for managing construction sites Image

    SaaS solution for managing construction sites

    The web application has been developed for a global leading provider of advanced location-based solutions (positioning systems). The system has 21’755’588 weekly queries with support of complex search results exceeding 270 searches/second in production.

    The project is a web-portal for managing manufacturing process in providing a wide range ofsolutions: adjusting Client’s own web interface of an application using the

    modules offeredby the system, creating future construction projects, approving documents, managing virtual file system. This system is applied in construction, agriculture and other industries.

    Technologies: Java, JavaScript, C++, C#, Groovy, Spring, Hibernate, Mysql

    Duration: 8 years

    Team: 33 employees

    Sleep restore Image

    Sleep restore

    Sleep Restore is a new project from one of our Clients. He was content with the previous application which we developed for him. This is an anxiety app, which you can learn more about here.

    Sleep Restore is designed for people with sleep problems, such as insomnia, stress, tension,etc. To solve these problems a person should first fill in a questionnaire. The app will provide the questionnaire results based on the

    person’s answers with the possible problems and recommendations to solve them. The results also include a playlist for the person. A person listens to the tracks from the playlist before the bedtime. To check the progress, a person will have to refill the questionnaire next month. The app will define if there is any progress or not.If there is, the playlist and recommendations will be updated.

    Technologies: Android, Angular 5, Bootstrap 3, iOS, Java, PostgreSQL, Spring

    Duration: 8 months

    Team: 1 analyst, 2 developers, 1 QA engineer, 1 project manager

    Areas of expertise: Custom UI widgets, media player, integration with a web API, user settings persistence

    A solution to monitor cells viability and location Image

    A solution to monitor cells viability and location

    The project is related to medicine. The customer’s company works to discover a cure for Alzheimer and other neurodegenerative diseases. It is their ambitious research, which is striving for a ground-breaking approach in the drug discovery. To test whether the medicine works or not, it is injected in the cells. Then the scientists are checking these cells through the microscope, to see if they are still alive or not, they do it

    once a day over 10 days. The project deals with determining the lifetime of each cell. The scientists have to remember that the cells are sensitive to the light; therefore, they are watched through the microscope once a day.

    Technologies: Python, OpenCV

    Areas of expertise: Image processing, mapping, computer vision

    Duration: less than 1 month

    A solution to detect a brachial plexus on an ultrasound image Image

    A solution to detect a brachial plexus on an ultrasound image

    The subject area of the project is medicine. To be more specific — shoulder surgery. Surgery often implies some patient’s discomfort and pain during the post-surgery recovery. Currently,the patient’s pain is frequently managed by means of drugs, which causes plenty of unwanted side effects. One of the methods to reduce the patient’s pain instead of using drugs is implanting catheters that block or mitigate the pain at the

    source. Pain management catheters reduce drug addiction and speed up the patient’s recovery. So the catheter should be implanted into the correct area of the body and affect the nerves directly.

    The project comes up with the solution which allows users to detect the nerve structure called the brachial plexus on the ultrasound picture and the exact area in the patient’s body to implant the catheter.

    Technologies: Python, TensorFlow

    Areas of expertise: Neural networks, image processing, mapping, computer Vision

    Duration: less than 1 month

    Challenges

    • When the app was used with see-through devices like Epsonglasses, a user could see a real object, not an image from a camera. It made impossible to use a projection matrix givenby ARToolkit.
    • The sensor data contained some noise, so we could not use it for long-time position tracking.
    • The magnetometer produced data with offset and a differents cale on each axis, which
    caused the dependence of the data on the device orientation. 

    Solutions

    • We have used calibration procedure to obtain eye-to-camerarelations. Ten points with known coordinates have given us aso called intrinsic camera matrix of an eye in a camera coordinate system. 
    • We have used magnetic field values to create a map of ouroffice. When a user walks through it, we track magnetic fieldchanges to obtain a path that the user moves through.
    • We have used the custom calibration method to obtain correction coefficients.

    Results

    • With see-through devices, users can see augmented images perfectly aligned with real objects instereo view.
    • We can determine the user position with the accuracy to 1.5-2 m.
    • Stable, direction-independent values of the magnetic field have been obtained.

    Technologies: Android, ARToolkit, DLib, GoogleVision, PostgreSQL+cube, Spring Boot

    Duration: 8 months

    A solution to detect label position and volume of liquid in the bottle Image

    A solution to detect label position and volume of liquid in the bottle

    A company producing bottled products had a task to provide the quality control of its products, to achieve that, it was necessary to monitor the level of liquid in the bottle and the position of the pasted label. If the level of liquid and the position of the label do not correspond to the admissible values, the product is of poor quality.

    Challenges

    • Recognize and single out the object of
    interest (bottle)
  • Determine the position of the label on the bottle
  • Determine the level of liquid in the bottle
  • Compare the obtained values of the position of the label andthe level of liquid with the admissible ones
  • Solutions

    • To single out the object of interest, we first determined thebackground of the image obtained from the webcam. Toachieve this, we used the OpenCV function, which allowsfiguring out the corresponding object based on the typicalsection, and besides removed the “noise” outside the object.
    • To solve the problem of determining the position of the label,the image is adjusted to HSV format. Then, using OpenCV,blurring of the image and "noise" reduction, the boundaries ofthe label are determined.
    • To determine the liquid level, the image was also adjusted toHSV format and “noise” was reduced.
    • The admissible values for the position of the label and thelevel of liquid are entered into the system in advance, takinginto account the existing standards. The systemautomatically compares the obtained values with theadmissible ones, based on which the conclusion about thequality of the product can be made.

    Results

    As a result, highly accurately determining the level of liquid in the bottle and the place where the labelwas pasted became possible, the data obtained were compared with regular results.

    Comparison of the obtained values with the admissible ones allows detecting products of poor quality.

    Areas of expertise: Image processing, Computer Vision
    Duration: 3 weeks
    Team: 1 developer

    An algorithm to count falling drops Image

    An algorithm to count falling drops

    An application to automatically count drops of fluid on video. It can be used in high-precision manufacturing, pharmaceuticals, to detect potential leakages of weak equipment.

    Challenges

    • Video processing in order to recognize the object of interest
    • Counting the number of drops

    Solutions

    • To catch a moving object in the video, it is needed
    to leave this single object on all the shots. For this purpose background and foreign objects should be removed from the shots.
  • To count the number of drops, we analyzed all shots of the video to detect a stretched drop using OpenCV
  • Results

    As a result, we managed to accurately recognize the drop falling on the video and count the fallen drops.

    The data on the calculated number can be compared with the admissible values.

    Technologies: Python
    Areas of expertise: Computer vision, Image processing, Video processing
    Duration: less than 1 month
    Team: 1 developer

    License plate recognition system Image

    License plate recognition system

    One of the main specializations of our company is Computer Vision.

    Among our projects in this area there is a solution for a corporate parking lot. The idea is that the parking lot cameras find the license plates on arriving cars and the gate bar opens for the cars with authorized license plates only.

    As the first step of this work, we had to develop a solution which would be able to detect and read the car’s

    license plates.

    To implement the project, we used a special library which was strictly focused on license plate recognition. But using that special library was not enough. Our developer had to customize and set it up so that the system would be able to detect a license plate in general and define its combination of letters and numbers.

    Technologies: PyCharm, Python
    Areas of expertise: Image processing, Mapping, Computer Vision
    Duration: 3 weeks
    Team: 1 developer

    Chart recorder Image

    Chart recorder

    The project was implemented for a Canadian oil and gas company. The implemented process implies recognition of the charts which are generated by two or three pens driven by sensors attached to gas pipes. These pens plot traces on a rotating paper disk. As a result, the disc has the values of different parameters such as gas pressure,water, temperature. The next step is to convert this chart into a readable

    format.

    Technologies: Python
    Areas of expertise: External services integration (AWS S3, AWS Lambda), Image rendering, Data mining, Image processing, Computer vision
    Duration: 2 months
    Team: 1 developer

    Java prognostic solution to prevent industrial equipment malfunctions Image

    Java prognostic solution to prevent industrial equipment malfunctions

    The project is a SaaS-solution that uses unique mathematical algorithms to forecast equipment malfunctions. This allows businesses (nuclear power, fossil power, railways, etc.) to make timely decisions to repair or replace equipment depending on forecast results and save millions of dollars.

    The prognostic solution is the only solution which provides reasonably accurate forecasts for 3 years ahead. It defines the level

    of malfunctions: standard, high, critical. The forecasts are based on data analysis of a great number of sensor controllers not on the analysis of past malfunctions that other systems make.

    ISS Art continues to assist in optimizing the work on the project as it is a long-term project.

    Technologies: Java (Jetty, Jackson, Guice, Servlet, Jersey), JavaScript (jQuery, jWidget), Scala (Scalikejdbc), JSON, PostgreSQL., CSV, PHP

    Areas of expertise:

    Browser graphic // Mathematical statistics and probability theory // Cloud computing // Flexible configuration //Forecasting // JSON data format // PDF-report generating //Distributed Computing // Service Integration

    Duration: 5 years

    Team: 11 employees

    View live project: https://cassantec.com/

    A social network for finding, storing and sharing music Image

    A social network for finding, storing and sharing music

    Vertigo project is a unique social media platform focused on finding, storing and sharing music and video. The Admin side is a web application, and the Client-side is a mobile application designed for both Android and iOS.

    The application enables users to gather their external music collections from many sources in one place. Vertigo users have it all gathered at once via Vertigo aggregating features. They can link their

    Apple Music and Spotify Premium accounts to find songs, build playlists, and share them with their social friends.

    The media platform allows users to broadcast their favorite music in the best possible quality, receive real-time feedback through live commenting, connect with other users to tune into their live sessions and discover new music.

    Challenges

    • There was a huge bulk of data with the relational structurerepresented as text-files in the system. The Customer wantedto arrange fast ways of searching for data items.
    • We had to scale and route the high load Stateful Service. Theclassical approach to balancing the load could not be usedfor this service.
    • The data processing algorithm was implemented as SQLscripts. The implementation took more than 24 hours. TheCustomer wanted to speed up this process.

    Solutions

    • We have used ETL algorithm based on the framework ReactiveX. The search index is created in ElasticSearch.
    • We have implemented a self-balancing method for thecluster. An individual address is sent to a client, the client canbe served at this address.
    • We have migrated the data processing algorithm to Apache Spark.

    Results

    We have parallelized and optimized the process of downloading the data. The total amount of theindexed data is about 70 Gb. The data is available for real-time searching.

    The implemented method allows the system with 500+ users to serve 100+ video data streams in real time.

    The data processing is scaled horizontally. The scaling is 30 minutes.

    Technologies: Java, Java, Objective-C, Haskell, Node.JS

    Areas of expertise:
    Backend: High load // Data mining // Multithreading // ETL // RDBMS // NoSQL // WebRTC
    Frontend: Sending PUSH notifications // Audio playback // Custom controls // Integration with site API and third parties' service API // Asynchronous networking // Storage settings // Sharing in social networks // Working with camera // Incremental synchronization

    Duration: 4 years

    Team: 32 employees

    View live project: https://itunes.apple.com/us/app/vertigo-music-stream-together-live/id111...

    Speech to Text application Image

    Speech to Text application

    The application is designed to convert speech to text in any language for deaf and hard of hearing people. Not only can the app transform speech to text, but it can also save it as a file.

    The app is currently being worked on. The next phases of development implyintegration with smart glasses and the implementation of a text to speech feature.

    Challenges

    • The Customer wanted to
    integrate with IBM Watson, however,the system did not support all necessary languages.
  • The app was designed to convert a voice message into a text. The Customer was going to have a sound file ofthe voice message as well.
  • Solutions

    • The developers performed IBM Watson integration as default. In case IBM Watson does not support the required language, the app applies Google Speech API forconversion.
    • InputStream А from a microphone was transmitted to objectB which read from A and recorded data into inputStream C. At the same time there was a second T which recorded C into.wav-file.

    Results

    • We integrated the developed software with both IBM Watson and Google Speech API. The app enables users to translate the speech into all the languages which are supported by IBM and Google.
    • The app also records the speech into files.

    Technologies: Java, ReactJS

    Duration:10 months

    Team: 3 developers

    Traffic and sales report generation system Image

    Traffic and sales report generation system

    The project is a SaaS system for gathering information from various online resources (Facebook, Twitter, GA, and others). 

    Challenges

    • For displaying diagrams and column reports universal and maintainable programs were required.These programs should have been of high operating speedand be able to add new features without any difficulties.
    • The system was to be integrated with a lot
    of programs and online resources. We needed a universal approach to work with them.
  • JS-code needed to be optimized.
  • Solutions

    • For diagrams output we wrote a program from scratch. It is based on SVG. For displaying reports we used jWidget to create the necessary component. For displaying diagrams in the weekly digest we designed the complex table layout by using Freemarker templates.
    • We created the architecture based on Java Spring and low-level protocol JDBC.
    • For optimizing JS-code we developed jWidget SDK instrument.

    Results

    • The diagrams and reports are well displayed. However, they are only for the project.
    • The system has the universal approach for gathering data from many integrated programs and resources.
    • JS-code was successfully optimized.

    Technologies: Java Spring, JavaScript
    Duration: 5 years
    Team: 3 developers

    Reviews

    Sort by

    R&D for Football School Organization

    "It was comfortable for me to work with the team."

    Quality: 
    4.5
    Schedule: 
    5.0
    Cost: 
    5.0
    Willing to refer: 
    5.0
    The Project
     
    Less than $10,000
     
    Jan. - Mar. 2020
    Project summary: 

    ISS Art performed research and development to check whether data monitoring would be a feasible feature in an anticipated computer vision solution. This involved describing product requirements and risks.

    The Reviewer
     
    11-50 Employees
     
    Moscow, Russia
    Dmitry Kibkalo
    Co-founder, Meteor
     
    Verified
    The Review
    Feedback summary: 

    The vendor successfully provided a detailed report with R&D conclusions. Their efforts equipped the client to move forward in the development process. ISS Art is a deadline-oriented team that responds well to feedback.

    The client submitted this review online.

    BACKGROUND

    Please describe your company and your position there.

    I'm a founder of the football school "Meteor". There are 60 schools in Moscow where about 40 trainers work. In the future, I'm going to extend the business.

    OPPORTUNITY / CHALLENGE

    For what projects/services did your company hire ISS Art?

    I needed help to make a computer vision solution for monitoring student's progress.

    What were your goals for this project?

    The main goal was to perform the R&D stage to check whether data monitoring was feasible: face and pose monitoring, student's speed, actions on the playing field.

    SOLUTION

    How did you select this vendor?

    I have reached out to my acquaintances, and they recommended ISS Art to me. I have studied their portfolio and understood that this team can meet this goal.

    Describe the project and the services they provided in detail.

    "The project started from the analytic stage before signing the contract. As a result, I got a list of what would be delivered within the R&D stage. The tasks were separated in 4 sprints, the result of each was provided as the demo with the team and the report on the work performed. After all the work was completed, the team provided the Project Vision, where functional and non-functional requirements to the system, project risks, and the equipment requirements for correct functioning oif the system were described."

    What was the team composition?

    The team consisted of the project manager, two developers, and the analyst. All the team attended every meeting and I could ask them any questions.

    RESULTS & FEEDBACK

    Can you share any information that demonstrates the impact that this project has had on your business?

    The team has successfully handled the challenge and provided a detailed report about the R&D. Also, they provided the document about the general concept of the future project and the possible next steps for development.

    How was project management arranged and how effective was it?

    We met with the team at regular meetings once a week, where the team demonstrated the results of their work. I could give my feedback to change the scope for the following iteration.

    What did you find most impressive about this company?

    The results were delivered in time, as had been discussed before the start, and it was systematically described. It was comfortable for me to work with the team.

    Are there any areas for improvement?

    Well done, keep it up!

    5.0
    Overall Score
    • 5.0 Scheduling
      ON TIME / DEADLINES
    • 5.0 Cost
      Value / within estimates
    • 4.5 Quality
      Service & deliverables
    • 5.0 NPS
      Willing to refer

    Development for Advertising Technology Company

    “I ended up learning a lot from the way they approached the engineering problems that we were facing.”

    Quality: 
    5.0
    Schedule: 
    5.0
    Cost: 
    4.5
    Willing to refer: 
    5.0
    The Project
     
    $10,000 to $49,999
     
    Jan. - Apr. 2020
    Project summary: 

    ISS Art provided full-stack development for a backend-integrated tool in a media buying company. They worked to account for all edge cases and integrations with the existing infrastructure.

    The Reviewer
     
    11-50 Employees
     
    Washington, DC
    Paul Pierre
    Lead Engineer, The Wink Initiative
     
    Verified
    The Review
    Feedback summary: 

    The code delivered by ISS Art was excellent quality and hasn’t produced any bugs in the system. Their team was creative and attentive to detail in their work, and prioritized transparency and flexibility in order to make the engagement as easy for their client to manage as possible.

    A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

    BACKGROUND

    Introduce your business and what you do there.

    We are an advertising media buying company based in California. We work with big brands to go through non-social media traffic sources to acquire high-quality users for different apps. I’m in charge of our product’s engineering.

    OPPORTUNITY / CHALLENGE

    What challenge were you trying to address with ISS Art?

    Their team helped us build an operation tool to augment our backend system.

    SOLUTION

    What was the scope of their involvement?

    We provided the specs and mockups, as well as a Vue.js template, and they executed on those specs as well as some extra corner cases in order to deliver the tool.

    They had full-stack resources on their side, and I was just managing the resources that they needed from our end such as basic API interfaces, access to databases, and our Google cloud. The final product is a standalone system but is built in a way that integrates it as a big piece of our platform.

    What is the team composition?

    We worked with one project manager, one QA lead, one primary backend and one frontend developer, and one business manager.

    How did you come to work with ISS Art?

    I put out a bid for the work initially, and I ended up talking to a few different companies on the phone. Their proposal had the most attention to detail and really inspired a lot of confidence with us so we decided to work with them.

    How much have you invested with them?

    In total, we spent around $20,000–$30,000.

    What is the status of this engagement?

    The project ran from January–April 2020.

    RESULTS & FEEDBACK

    What evidence can you share that demonstrates the impact of the engagement?

    On our end, everything has worked great. We haven’t found any serious bugs and they were very thorough about testing and documentation in the handover. The team was very clear and concise in setting up the program and actually delivered it slightly early so that we would have time to iron out any issues in case we found them, which I really appreciated.

    How did ISS Art perform from a project management standpoint?

    They kept checking in with us to make sure we were happy with the work they were providing and were more than happy to go with our format and frequency for those check-ins. They were very easy to communicate with, and any hard questions that I had were answered immediately.

    We were also confident from the beginning in negotiating the contract and dealing with payments because of how transparent and flexible they were around those. When you’re putting a lot of money into a project, trust is so important, and they make it easy to develop that with their team.

    What did you find most impressive about them?

    The thing that really stood out to me was how clean their entire process was. Everything that I had asked for on our end was actually delivered, including some edge cases that I hadn’t included. Absolutely nothing slipped through the cracks and I ended up learning a lot from the way they approached the engineering problems that we were facing.

    Are there any areas they could improve?

    To be honest, I was happy with everything.

    Do you have any advice for potential customers?

    At the beginning of the relationship, make sure you are both on the same page during the negotiation of the contract, and as long as everyone understands each other you will be very successful.

    5.0
    Overall Score
    • 5.0 Scheduling
      ON TIME / DEADLINES
    • 4.5 Cost
      Value / within estimates
    • 5.0 Quality
      Service & deliverables
    • 5.0 NPS
      Willing to refer

    Machine Learning Algorithm for BI Analytics Company

    "They offered a very high quality of service."

    Quality: 
    4.5
    Schedule: 
    5.0
    Cost: 
    5.0
    Willing to refer: 
    5.0
    The Project
     
    Less than $10,000
     
    Mar. - Apr. 2019
    Project summary: 

    ISS Art provided development services, building a machine learning algorithm. Using Python and TensorFlow, they developed the code for a prediction model.

    The Reviewer
     
    1-10 Employees
     
    Stockholm, Stockholm
    Cristian Ivanoff
    CEO, Mimico AB
     
    Verified
    The Review
    Feedback summary: 

    The finished prediction model is excellent, leaving the end-client satisfied and able to effectively utilize the system to lower costs. They are professional and organized, structuring the work well and demonstrating high-level competence in data science.

    A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

    BACKGROUND

    Introduce your business and what you do there.

    I’m the owner of a team of consultants doing business intelligence projects in Sweden. We run different data analytics projects for customers, mainly with BigQuery on the Google platform.

    OPPORTUNITY / CHALLENGE

    What challenge were you trying to address with ISS Art?

    We needed to make a machine learning algorithm to predict the use of the hospital garments offered by one of our clients. We’d delivered a data analytics platform for them and wanted to add a prediction functionality.

    SOLUTION

    What was the scope of their involvement?

    We gave them a database of every transaction fulfilled by our client in the last three years, and they helped us predict the future use per week of every single garment model, by category. They did the coding for the prediction model in Python and TensorFlow.

    What is the team composition?

    We worked with a data science developer and a project manager.

    How did you come to work with ISS Art?

    We’d worked with another company in Sweden, which had done some projects with ISS Art. They recommended them to us when we were looking for help on this project.

    How much have you invested with them?

    It cost below $5,000.

    What is the status of this engagement?

    This project ran from March–April 2019, and our collaboration is ongoing.

    RESULTS & FEEDBACK

    What evidence can you share that demonstrates the impact of the engagement?

    We delivered what we promised to our satisfied customer, so the engagement was very high-value for us. They can use the prediction system to plan their work and show data to their customers. It allows them to handle the distribution of garments better and for lower costs.

    How did ISS Art perform from a project management standpoint?

    They were professional and well-structured, the communication was good, and they delivered detailed documentation. We had weekly calls with their developer and were very satisfied with their project management.

    What did you find most impressive about them?

    We appreciated the competence of their data science person who was amazing.

    Are there any areas they could improve?

    There’s nothing I can think of right now. They offered a very high quality of service.

    Do you have any advice for future clients of theirs?

    Good database and requirements documentation is important.

    4.5
    Overall Score
    • 5.0 Scheduling
      ON TIME / DEADLINES
    • 5.0 Cost
      Value / within estimates
    • 4.5 Quality
      Service & deliverables
    • 5.0 NPS
      Willing to refer

    Software Support for Cloud-Based Credit Company

    “They’re a motivated, results-oriented team.”

    Quality: 
    5.0
    Schedule: 
    5.0
    Cost: 
    5.0
    Willing to refer: 
    5.0
    The Project
     
    Confidential
     
    2014 - Ongoing
    Project summary: 

    On an ongoing basis, ISS Art works in partnership with a cloud-based software firm to support a variety of development projects. Their efforts tend to focus on sophisticated algorithms and software logic.

    The Reviewer
     
    11-50 Employees
     
    Russia
    Executive, TurboDispute
     
    Verified
    The Review
    Feedback summary: 

    ISS Art consistently demonstrates a proactive, diligent work ethic and genuine dedication to customer satisfaction. The team leverages innovative perspective in conjunction with high-level technical acumen to consistently yield valuable solutions and secure optimal outcomes.

    The client submitted this review online.

    BACKGROUND

    Please describe your company and your position there.

    I oversee all the aspects of business and budgeting for a cloud-based credit repair software company.

    OPPORTUNITY / CHALLENGE

    For what projects/services did your company hire ISS Art? 

    ISS Art came on board to continuously support our ongoing development projects. 

    What were your goals for this project? 

    The goals of most of our projects are usually to solve problems that relate to complex algorithms and software logic.

    SOLUTION

    How did you select this vendor?

    We searched for a vendor on Upwork and were pleased to find ISS Art. 

    Describe the scope of their work in detail.

    ISS Art usually works on the logic of software and create algorithms to make it more intuitive for the businesses that use our products. In addition, they develop user-friendly features to make our software simpler for our customers to use.

    What was the team composition? 

    We work directly with Maxim (Project manager, ISS Art). The team includes about 2-4 members who execute on different features of our projects.

    RESULTS & FEEDBACK

    Can you share any information that demonstrates the impact this engagement has had on your business? 

    Our engagement with ISS Art has always been very effective. They complete all of our essential milestones on time. The team brainstorms creative ideas for new updates and improvements for our software. The daily technical support they provide has been excellent.

    How effective is your workflow between your team and theirs? 

    Our workflow has been great. We enjoy the transparency of our daily communication. They always keep us informed about what will happen next. I admire the motivation of the team. 

    Our professional dedicated project manager reliably produces successful outcomes. Whether it’s allocating someone new to work on a project or finding a better solution, they always find the best way to solve any given problem. 

    What did you find most impressive about ISS Art? 

    ISS Art is very hardworking, productive, and successful. They’re a motivated, results-oriented team.

    Are there any areas for improvement? 

    At this time, we enjoy our current workflow and don’t feel anything needs improvement.

    5.0
    Overall Score We enjoy working with ISS Art on a daily basis and look forward to continuing our work together in the future.
    • 5.0 Scheduling
      ON TIME / DEADLINES
    • 5.0 Cost
      Value / within estimates
      We enjoy their transparency around cost estimates and end resolutions for pricing.
    • 5.0 Quality
      Service & deliverables
      ISS Art really cares about quality. The team always makes sure to find and deliver a resolution to the given problem on time.
    • 5.0 NPS
      Willing to refer
      We highly recommend ISS Art.

    Web Design & Business Analytics for Gift Shop Chain

    "The team is responsible, professional, and results-oriented."

    Quality: 
    5.0
    Schedule: 
    5.0
    Cost: 
    5.0
    Willing to refer: 
    5.0
    The Project
     
    Confidential
     
    2018 - Ongoing
    Project summary: 

    ISS Art has prototyped a website with new graphic designs and content. The team is still building the solution. They provide services for consulting, quality control, and testing.

    The Reviewer
     
    51-200 Employees
     
    Omsk, Russia
    Head of Development, Gifts of the East
     
    Verified
    The Review
    Feedback summary: 

    The team’s expertise and guidance are invaluable. They’ve shaped the project goals while providing insight into different areas of the IT sector.

    The client submitted this review online.

    BACKGROUND

    Please describe your company and your position there.

    I’m head of development for Gifts of the East. We’re a gift shop chain.

    OPPORTUNITY / CHALLENGE

    For what projects/services did your company hire ISS Art?

    We needed services for web-based graphic design and business analytics.

    What were your goals for this project?

    We wanted to expand the target audience by creating a scalable web platform.

    SOLUTION

    How did you select this vendor?

    We analyzed several companies. ISS Art was the best fit for our needs.

    What is the scope of the project?

    ISS Art created usage scenarios, descriptions, and graphic designs. They then developed a clickable prototype of the site. Another vendor is writing the code due to the technology stack. Ongoing services include consulting, quality control, and testing.

    What was the team composition?

    The team includes an analyst, a senior analyst, a designer, a tester, and a project manager.

    RESULTS & FEEDBACK

    Describe the impact the engagement has had your business.

    The project is still ongoing and we don’t have metrics at this early stage.

    How was project management arranged and how effective was it?

    The team has been flexible, especially when we didn’t know what the final result should look like. They’re helping us determine the final set of requirements.  

    What did you find the most impressive about this company?

    The team is responsible, professional, and results-oriented.

    Are there any areas for improvement?

    Not necessarily—they’ve been helpful. ISS Art advises us on IT issues, social media marketing (SMM), and SEO.

    5.0
    Overall Score
    • 5.0 Scheduling
      ON TIME / DEADLINES
    • 5.0 Cost
      Value / within estimates
    • 5.0 Quality
      Service & deliverables
    • 5.0 NPS
      Willing to refer

    Technical Content Writing for Software Company

    “Their posts always involve the right methodology, tools, and best practices, so they’re highly valuable to our readers.”

    Quality: 
    5.0
    Schedule: 
    4.5
    Cost: 
    5.0
    Willing to refer: 
    5.0
    The Project
     
    $10,000 to $49,999
     
    2015 - Ongoing
    Project summary: 

    ISS Art works with the in-house team to brainstorm and write technical blog posts about load testing tools and best practices. The posts are highly technical, providing clear instructions to readers.

    The Reviewer
     
    11-50 Employees
     
    Israel
    Noga Cohen
    Head of Content Marketing, BlazeMeter/CA Technologies/Broadcom
     
    Verified
    The Review
    Feedback summary: 

    ISS Art is professional and organized, running a clear and streamlined workflow. They easily adjust to requested changes and proactively suggest topics, making them a valuable partner. Their work has resulted in increased web traffic that continues to grow every year.

    A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

    BACKGROUND

    Introduce your business and what you do there.

    I’m the head of the content marketing team for BlazeMeter, which was acquired by CA Technologies, which was then acquired by Broadcom. We’re a performance testing SaaS solution, so developers and testers can run load, stress, and functional tests on their website or app through our platform.

    OPPORTUNITY / CHALLENGE

    What challenge were you trying to address with ISS Art?

    We create technical content about load testing tools and best practices, so we wanted professional developers who could write tutorials and blog posts to teach the dev community. We specifically wanted testers who’d used open-source testing tools such as JMeter.

    SOLUTION

    What was the scope of their involvement?

    ISS Art provides technical content for our bog. We decide on topics together, although they often suggest ideas. They write up an online and send it to me, I comment on and approve it, then they write the actual post. From there, I review it again to provide edits, and we iterative a few more times until we have the final draft. We then publish the blog post under their names.

    What is the team composition?

    We work with a project manager and the developers who write the content.

    How did you come to work with ISS Art?

    We found them on Upwork. They’re one of our key partners, but not the only ones who write blog posts. They were professional and great at open-source testing, so we hired them.

    How much have you invested with them?

    We've spent tens of thousands of dollars.

    What is the status of this engagement?

    We’ve been working together since 2015, and the partnership’s ongoing.

    RESULTS & FEEDBACK

    What evidence can you share that demonstrates the impact of the engagement?

    Our website traffic grows quite impressively year over year, and that’s because of our blog. ISS Art is a key player in creating content, so they’ve contributed greatly to our growth. Their posts always involve the right methodology, tools, and best practices, so they’re highly valuable to our readers.

    How did ISS Art perform from a project management standpoint?

    They respond quickly and are incredibly professional and organized. We work on multiple blog posts at the same time, each at a different stage, and they keep track of deadlines and deliver on time. We mainly communicate over email, and they adjust to any changes we request.

    What did you find most impressive about them?

    They’re knowledgeable and consistently provide new ideas for blog posts, proactively engaging in the work. I’m extremely satisfied with their team.

    Are there any areas they could improve?

    No. We've been working with them for nearly three years, and we're happy with the partnership.

    Do you have any advice for future clients of theirs?

    Clearly communicate what you need. Don't be afraid to send a lot of emails and set expectations.

    5.0
    Overall Score
    • 4.5 Scheduling
      ON TIME / DEADLINES
    • 5.0 Cost
      Value / within estimates
    • 5.0 Quality
      Service & deliverables
      They're very professional.
    • 5.0 NPS
      Willing to refer
      I'm very happy to recommend them.

    Development for an Energy Company

    “ISS Art is very professional, stays on top of the project, and delivers on time.”

    Quality: 
    4.0
    Schedule: 
    3.0
    Cost: 
    5.0
    Willing to refer: 
    5.0
    The Project
     
    Less than $10,000
     
    Jul. 2018 - Ongoing
    Project summary: 

    ISS Art is developing a proof of concept for a business process automation to generate different revenue streams. The team contributes expertise with optical character recognition and computer vision.

    The Reviewer
    Jason Pullar
    IT Manager, Critical Control Energy Services Inc.
     
    Verified
    The Review
    Feedback summary: 

    ISS Art sets milestones and carefully organizes the schedule to stay on track with the timeline. They communicate effectively, offer useful suggestions, and ask smart questions. The team’s proof of concept will provide insight into a product’s scalability and commercial viability. 

     

    A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

    BACKGROUND

    Introduce your business and what you do there.

    I manage the IT infrastructure for Critical Control Energy Services as well as our product line that involves IoT and oil and gas production. 

    OPPORTUNITY / CHALLENGE

    What challenge were you trying to address with ISS Art?

    We were trying to figure out a way to digitize a traditional analog business process in the marketplace for a new revenue stream. We hoped to modernize and improve our workflow to change the commercial landscape for customers to offer them a better product and service. 

    SOLUTION

    What was the scope of their involvement?

    Our business application required a specialized area of expertise. We wrote a scope of work and an educational document for ISS Art to bid on the project. After we made sure they felt comfortable solving our business challenge, they gave us feedback and assigned us resources for computer vision and optical character recognition. 

    We've completed the first phase so far. I outlined the deliverables we expect in a proof of concept document with criteria for success. ISS Art is using these guidelines as a basis for all their work on this project.

    What is the team composition? 

    My main point of contact at ISS Art is Tatianna. She is our project manager. 

    How did you come to work with ISS Art?

    I originally found them through Upwork. Almost 50 teams sent in applications with quotes. Based on our budget, I narrowed the pool down to three candidates. ISS Art put together the best solution, so we hired them for the remainder of the project.

    How much have you invested with them?

    We've spent $5,000–$7,000 in total. 

    What is the status of this engagement?

    We've been working together since late July or early August 2018.

    RESULTS & FEEDBACK

    What evidence can you share that demonstrates the impact of the engagement?

    We've already done some testing with the product. So far, it's still producing the same results. As a proof of concept project, we mostly want to see if what we're trying to accomplish is viable. If so, we need to know the solution's scalability and predict constraints with taking it to the commercial level. 

    Right now, we're assessing whether we can sell this software in the marketplace before we go on to the second phase. We will continue working with ISS Art through the end of the project. 

    How did ISS Art perform from a project management standpoint?

    Project management has been very good. We mostly communicate with our project manager through email along with a few phone calls. At the start, we did a deep dive and visually laid out what we were looking for with the solution. Working with teams from different countries can present a language barrier, so we made sure everyone was on the same page and understood the requirements. Our lead developer asked useful questions and was the right resource for the project. 

    What did you find most impressive about them?

    The communication aspect was the best part of our partnership. In most scenarios, we haven't known what we would get from the outsourced development firms we've hired even after reading reviews. ISS Art is very professional, stays on top of the project, and delivers on time. They respond to all our emails, provide updates, and set milestones. 

    Are there any areas they could improve?

    I can't think of any off the top of my head. Our scope was limited, so it would be interesting to see how they do with a more detailed project. They managed our size of a project and deliverables very effectively. 

    Do you have any advice for potential customers?

    I recommend asking lots of questions. Try your best to document all your expectations for the outcome.

    5.0
    Overall Score
    • 3.0 Scheduling
      ON TIME / DEADLINES
    • 5.0 Cost
      Value / within estimates
    • 4.0 Quality
      Service & deliverables
    • 5.0 NPS
      Willing to refer

    App Dev & Testing for Health & Wellness Service

    "They had high professionalism, effectiveness, and integrity."

    Quality: 
    5.0
    Schedule: 
    5.0
    Cost: 
    5.0
    Willing to refer: 
    5.0
    The Project
     
    $10,000 to $49,999
     
    Jan. 2018 - Ongoing
    Project summary: 

    ISS Art designed the free and premium paid versions of an app that helped insomnia sufferers. The app included questionnaires and rewards. 

    The Reviewer
     
    1-10 Employees
     
    Melbourne, Australia
    Mark Grant
    Director, Trauma & Pain Management Service
     
    Verified
    The Review
    Feedback summary: 

    The app helped its users and earned the company valuable recognition. It was projected to generate a great deal of revenue. ISS Art's seamless project management, responsive communication, and immaculate reporting saved both time and money. The team 

    The client submitted this review online.

    BACKGROUND

    Please describe your company and your position there.

    I am the director of a psychology practice that treats people suffering from PTSD and the health problems associated with it.

    OPPORTUNITY / CHALLENGE

    For what projects/services did your company hire ISS Art?

    We hired them to create an app for sufferers of stress-related insomnia.

    What were your goals for this project?

    We wanted a free and paid premium version of a fully functional app. It included questionnaires that generated recommendations and awarded bonuses.

    SOLUTION

    How did you select this vendor?

    I'd previously had a good experience with ISS Art. They had high professionalism, effectiveness, and integrity.

    Can you go into detail about the services they provided and the scope of the project?

    ISS Art reviewed my initial design and developed the app's basic structure. They interpreted my desires and transformed them into a functional app with a variety of features.

    What was the team composition?

    The team included a programmer, a graphic designer, a coordinator, and many others.

    RESULTS & FEEDBACK

    Can you share any information that demonstrates the impact that this project has had on your business?

    The app helped our clients and raised the profile of my business. The last app that ISS Art worked on was successful; it still generates income seven years later. I anticipate that this app will be just as successful. 

    How was project management arranged and how effective was it?

    My project coordinator was my main interface with the team, which made communication smooth and easy. Both the coordinator and the whole ISS team were very responsive. They gave regular progress reports so I could track the costs and budget.

    What did you find most impressive about this company?

    They delivered a good product. They tested everything, so once the app was published, it was functional and free of bugs. That was vital since users can review the app and negative reviews have a great impact. They also cut costs and bought time when my finances were strained. 

    5.0
    Overall Score They were good communicators, flexible, and responsive.
    • 5.0 Scheduling
      ON TIME / DEADLINES
      They made, implemented, and tracked plans.
    • 5.0 Cost
      Value / within estimates
      ISS provided good value.
    • 5.0 Quality
      Service & deliverables
      They delivered a quality product that worked.
    • 5.0 NPS
      Willing to refer
      I woud not hesitate to recommend ISS.

    Web Dev. for Casting Company

    “They utilize a seamless process.”

    Quality: 
    5.0
    Schedule: 
    5.0
    Cost: 
    5.0
    Willing to refer: 
    5.0
    The Project
     
    $50,000 to $199,999
     
    2012-2018
    Project summary: 

    ISS Art programmed additional features for a PHP website over the course of a long-term engagement. A significant development enabled a company process to take place online instead of solely in-person.

    The Reviewer
     
    1-10 Employees
    Goran Djenadic
    CEO, Casting
     
    Verified
    The Review
    Feedback summary: 

    They developed a successful website and kept it relevant in a changing digital landscape. ISS Art offers reliable deliverables and responsive communication. They have a large team and can properly staff projects of varying size. Effective management accommodates the fluctuating staff composition.

    A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

    BACKGROUND

    Introduce your business and what you do there.

    I’m the CEO of Casting co. Inc. We’re a commercial networking service for the entertainment industry that connects agents, managers, and producers with a variety of talent.

    OPPORTUNITY / CHALLENGE

    What challenge were you trying to address with ISS Art?

    We had another development team build our site from scratch. That engagement ended abruptly and I had to quickly find a new team. After doing some research, I knew I didn’t want to work with a small independent contractor. We needed a large outsourcing company that could reliably allocate development resources. Therefore, we hired ISS Art to provide ongoing web development services.

    SOLUTION

    What was the scope of their involvement?

    We worked with ISS Art for six years and they helped build and refine our PHP website. They utilized a Symfony 2 framework and added more features to our site than I can remember. Most notably, they created web module that mimics our in-person interview process. This development granted us the flexibility to service potential clients in the most convenient way possible. They also supported the site and fixed bugs whenever necessary.

    They provided a direct contact who could write and speak English fluently. As a result, we’d communicate our objectives and they’d tell the developers what needed to be done. I only have a broad understanding of the technology relevant to this project, so it was helpful having someone that could translate what we wanted to achieve in technical terms.

    What is the team composition?

    We worked with three different project managers over the course of the engagement. The number of developers working our account changed frequently.

    How did you come to work with ISS Art?

    We used Upwork and other similar resources to find possible candidates. We interviewed several companies but ultimately hired ISS Art.

    How much have you invested with them?

    We spent between $150,000 and $180,000.

    What is the status of this engagement?

    We worked with them from 2012–2018.

    RESULTS & FEEDBACK

    What evidence can you share that demonstrates the impact of the engagement?

    The site is exceptionally reliable and everything functions as it should 99% of the time. We experience the occasional bug, but that tends to happen when a new feature is introduced to the code. They’re responsive and promptly addressed any issues we’d communicate to them. The work was done as expected and frequently exceeded expectations.

    How did ISS Art perform from a project management standpoint?

    ISS Art handled the entire project wonderfully. There was some employee turnover on their end throughout the relationship, but it never affected us significantly. They kept detailed documents regarding the project and quickly brought in new developers to keep everything moving forward. They usually responded to us within a few hours, despite a significant time difference. This was shocking at first because we’ve worked with other firms that would let days go by without reaching out to us. We primarily communicated via email, but would also use Skype to test large features prior to launch.

    What did you find most impressive about them?

    ISS ART is extremely responsive and capable of resolving any development issue. They were just an email away if the site went down or a specific feature didn’t function properly. Their consistent efficiency is why we engaged them for so long.

    Do you have any advice for potential customers?

    Follow their lead and your project will work out smoothly. They utilize a seamless process. However, development isn’t a guessing game either. Providing detailed requirements will yield a better product.

    5.0
    Overall Score
    • 5.0 Scheduling
      ON TIME / DEADLINES
    • 5.0 Cost
      Value / within estimates
    • 5.0 Quality
      Service & deliverables
      I have no complaints regarding their deliverables.
    • 5.0 NPS
      Willing to refer

    Zend-based Web Dev for Non-profit

    "I'd be out of business if it weren't for them."

    Quality: 
    5.0
    Schedule: 
    4.5
    Cost: 
    5.0
    Willing to refer: 
    5.0
    The Project
     
    $10,000 to $49,999
     
    2015 - Ongoing
    Project summary: 

    ISS Art fixed a poorly-designed Zend website to improve both design and backend functionality for a nonprofit. The team created user login and e-commerce capabilities.

    The Reviewer
     
    1-10 Employees
     
    California
    Executive Director, Non-profit
     
    Verified
    The Review
    Feedback summary: 

    The work helped to launch the nonprofit into a successful venture. ISS Art uses a good managerial workflow allowing them to be flexible in terms of changes and last-minute adjustments. They excel at communication and organization. 

    A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.

    BACKGROUND

    Introduce your business and what you do there.

    I’m the executive director of a nonprofit. We make things to help people with special needs.

    OPPORTUNITY / CHALLENGE

    What challenge were you trying to address with ISS Art?

    Originally, we were using local developers, but they did a bad job. They were just taking our money and giving us a poorly designed website. We got a somewhat-functional site from them and decided to make it work with someone else. ISS Art fixed the terrible design and made the site more stable.

    SOLUTION

    What was the scope of their involvement?

    ISS worked a lot on the design and backend. The original design was okay, but the implementation was bad.  Our website is on the Zend framework.

    We have a large international user base. Everyone has their own login where they can enter information about their family members with special needs for emergency situations. That means the website has to allow users to create their own account. 

    We also sell many different products in a custom shopping cart. We had to make a backend that could support that, including extensive redundant search capabilities and functionalities for various situations to help people with their accounts and products.

    What is the team dynamic?

    ISS Art assigned a project manager, who is always available to help make sure things go smoothly, but I also communicate directly with the developers through an issue tracking software.

    How did you come to work with ISS Art?

    We found them on Upwork. They had really good reviews, so I decided to see if they could help us. 

    How much have you invested with them?

    We've spent around $40,000 with them.

    What is the status of this engagement?

    We started working with them in 2015 and we’re still working with them.

    RESULTS & FEEDBACK

    What evidence can you share that demonstrates the impact of the engagement?

    ISS Art did a great job at fixing the site’s original implementation and making it work well. The quality of the work is excellent. They create the work and then I can test it on a development site, then make suggestions for them to apply. Once it passes my test, they'll put it on the regular website.

    How did ISS Art perform from a project management standpoint?

    They’re excellent, and put a lot of effort into management. If I need something right away, they do their best to make it happen quickly. If there's an emergency, they stop everything to fix it. Their responsiveness is why I've continued to work with them. If my normal developer is sick or unavailable, they give me somebody else just as good to keep things going. They're very organized.

    They also take responsibility. Once, I gave them direct instructions and they had a new developer that missed something. When I mentioned it to the project manager, it was fixed. They took responsibility. 

    What did you find most impressive about them?

    We work together closely. When things change, they’re always flexible. We work back and forth and have great communication.

    I'd be out of business if it weren't for them. Maybe I could find someone else, but I don't think I'd be able to find someone better. We're small and we're just getting out of the startup phase, so if they hadn't done a good job, we might’ve failed as a business.

    5.0
    Overall Score They are one of my favorite companies to work with. They're professional and care. They want to get the project done right. They don't have any problem fixing things or making changes.
    • 4.5 Scheduling
      ON TIME / DEADLINES
      They meet all their deadlines, but they have to schedule their work because one developer might be on several projects. They do a good job, but sometimes it takes around a week.
    • 5.0 Cost
      Value / within estimates
      They gave me high and low estimates, and then what they really think it's going to take, which is usually in the middle.
    • 5.0 Quality
      Service & deliverables
      I design new things frequently and they apply all my designs easily.
    • 5.0 NPS
      Willing to refer
      I always recommend them to others.