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✅ IT Outsourcing & Staff Augmentation since 2007

4.9 22  reviews
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Innowise Group is an international full-cycle software development company with key delivery centres in Europe and offices worldwide. Our team has over 1000 top-notch IT professionals, leveraging their software engineering expertise to make the businesses of our customers more innovative and successful.

We deliver a full spectrum of IT services:

$5,000+
$50 - $99 / hr
1,000 - 9,999
Founded 2007
St. Petersburg, FL
Map location
headquarters
  • 7901 4th St N STE 300
    St. Petersburg, FL 33702
    United States
    +19172677727
other locations

Focus

Service lines
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
AR/VR Development
BI & Big Data Consulting & SI
Blockchain
show all +
Client focus
50%
25%
25%
Midmarket ($10M - $1B)
Enterprise (>$1B)
Small Business (<$10M)
Industry focus
40%
30%
30%
Medical
Education
Financial services
AWS Consulting Services
20%
10%
10%
10%
10%
10%
10%
10%
10%
Application Platforms
30%
30%
20%
10%
10%
Azure Consulting Services
20%
20%
10%
10%
10%
10%
10%
10%
BI & Big Data Focus
20%
20%
20%
20%
20%
BI & Big Data Solutions
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
Blockchain Focus
34%
33%
33%
Cloud Computing Focus
40%
40%
20%
Frameworks and CMS
10%
10%
10%
10%
8%
8%
7%
7%
5%
5%
5%
5%
5%
5%
IT Managed Services Focus
10%
10%
10%
10%
10%
10%
10%
10%
10%
10%
Mobile Focus
10%
10%
10%
10%
10%
10%
5%
5%
5%
5%
5%
5%
5%
5%
Mobile Platforms
20%
20%
10%
10%
10%
10%
10%
10%
Programming & Scripting
10%
10%
10%
10%
10%
8%
8%
8%
8%
5%
5%
5%
3%
User Experience Focus
40%
30%
30%

Portfolio

Key clients: 

Terraces.io, Voka, Belyagdar, Instatsport

Blockchain-based document management mobile app

Blockchain-based document management mobile app

Innowise Group developed the front-end part of the mobile application, both iOS and Android versions, for document and data management on the base of blockchain technology. Within the app, users can

  • Create new documents (records)
  • Attach digital content (pdf, images, audio)
  • Create unique digital signatures
  • Confirm the authenticity of a document with a digital signature
  • Secure, prove and timestamp documents
  • Generate a unique QR code for each record
  • Use a QR-code scanner to find docs in one click
  • Share and find documents using ID-tags
  • Bookmark available documents
Sales Forecast for a Store

Sales Forecast for a Store

 

The solution helps stores to forecast sales and prevent customers outflow, thus optimizing many business processes

 

Our team created a solution for retailers and online stores which makes forecasts for 5,000+ products. We used accumulated for three years data on daily sales, purchased items, average checks, loyalty card types, promotions, and so on to teach the application to identify seasonality in demand by month and day of the week, determine trends for each product group, and evaluate the impact of discounts and promotions on product sales. Based on this analysis, the program builds sales forecasts for a month, a quarter, and a year and identifies changes in demand for individual groups of customers. The solution increased the accuracy of forecasting for the next three months from 77% to 93%.

 

Another part of the program calculated the likelihood of customers outflow within 1-3 months. Our Python development team examined many parameters that impact customer activity: frequency and volume of purchases, number of site visits, date of the last purchase, viewed and selected products, positive or negative user experience. We identified groups that are "at-risk zone" and helped the client find out the proper offer, which will motivate customers to make purchases. For instance, we defined the most relevant goods based on the customer's previous purchases and figured out the right time for sending a message. It allowed the store to tailor the communication to each customer's needs and resulted in higher CTR (from 2.8% to 5.1%) and lower churn rate (from 9.4% to 5.6%).

 

Altogether, the system helped the business retain customers, boost sales through repeat purchases, and optimize business processes such as marketing communication, logistics, and storage of goods in the warehouse. 

 

Technologies and tools: Python, ARIMA, ARCH, Recurrent neural networks, Prophet; Pandas, NumPy, Scikit-learn.

White label NFT marketplace solution

White label NFT marketplace solution

Innowise Group developed from scratch the versatile whitelabel NFT marketplace platform which allows users to create, buy and sell NFT assets via web and mobile applications.

The solution allows brands to create, manage and put their NFT assets for sale. Users can put and get out already owned NFTs for sale, buy them directly from brands or other users, or participate in the auctions.

Read more: https://innowise-group.com/nft-marketplace/

eLearning platform

eLearning platform

Innowise Group has created desktop and web eLearning applications for video training with state-of-the-art functionality facilitating the perception of information and the acquisition/retention of theoretical knowledge. Within the desktop and web eLearning solution, trainees can watch video lectures in the player but can’t fast-forward it or adjust the speed. On the tab, there is a detailed course structure with brief descriptions. Access to each section is opened only after completing the previous one.

Technologies we used:

Web: ASP.NET Core, WCF

Desktop: UWP

UI/UX: UI Kit, Core Graphics

Cloud services: Azure CDN

Truck fleet management system

Truck fleet management system

Innowise Group has delivered A custom data management platform for the customer's truck fleet with a miscellaneous feature set. The designed web app provides employees with two primary functional modules that allow record keeping, control, and analytics of the company's truck fleet. Module 1 is designed to keep track of the company's vehicle fleet. Module 2 is dedicated to freight project management.

Technologies we used:

Backend: .Net, ASP.NET Core, RavenDB

Frontend: React, Material UI, React Form Hooks, TypeScript

Live Streaming Platform for Distance Learning

Live Streaming Platform for Distance Learning

 

The solution enables teachers to organize online school lessons in an effective and interactive way

 

The online platform created from scratch by our team takes into account all aspects of the learning process and helps to enrich it with new tools and experiences. We aimed to develop a high-load video conference platform with a set of features to simulate real lessons as accurately as possible. 

 

It helps teachers to schedule, prepare and conduct lessons, store educational materials, invite pupils from different classes or other people to broadcast. Lessons are taught in real-time through a browser with the help of a video conference, so users may connect via any device – PC, tablet, or smartphone. Lots of functions are provided to make the process more interactive – pupils can raise their hands if they want to answer, paint and type on a virtual blackboard, communicate in chat, and take quizzes created by a teacher on the platform. 

 

While engineering the platform, our development team paid special attention to the stability and security of the solution. Thanks to intelligent server distribution, the system handles high loads and can be scaled up automatically without significant effort and cost. Good connection quality and high speed are realized with geographically distributed network architecture. The system is resistant against OWASP TOP 10 vulnerabilities, connections are protected according to TLS and SRTP protocols. Personal data are stored only in encrypted form, and access rights, including access to view personal data, are strictly delimited. 

 

The solution has already proved its effective and reliable work for more than 200,000 simultaneous users and is planned to be scaled up soon.

 

Technologies and tools: Java 11, Reactor, Spring Cloud Gateway, Spring Cloud Config, Vault, Spring Data, Spring Security, Lombok, MapStruct, WebFlux, PostgreSQL, Redis

Mobile Application for Instant Payments

Mobile Application for Instant Payments

 

Native iOS and Android applications serving as a digital wallet for instant payments

 

The mobile application is integrated with APIs of several major banks of the country. After registration and verification in the app, users get access to their digital wallets. To replenish the account, residents transfer money from their local bank accounts, while tourists just add their bank cards for that. 

 

Users can make requests for payment (e.g., split a restaurant bill for several people), pay using QR codes, make money transfers to another person by her or his mobile phone number or email. The app also provides information about bank account balances and stores the history of payments. 

 

Our team worked on backend and native iOS and Android applications, as well as business analysis and quality assurance of the project. The solution is developed in accordance with ISO 20022 standard, uses Swift MT, and integrates RTJS for real-time payments between banks. To protect confidential data, we integrated a security system (TLS 1.2, SSL Pinning, check for rooted devices), used PIN code validation and data encryption. The solution has multi-tenant architecture and thus can be used and tailored to the peculiarities of any bank system. 

 

Technologies and tools: Java, RxJava, Kotlin, MVVM and Clean Architecture, Coroutines, Dagger 2, JUnit, Mockito, REST, Robolectric, Espresso; Swift, MVP and VIPER, RxSwift, GCD, XCTest, Firebase

Semantic Analysis of Social Media Hashtag

Semantic Analysis of Social Media Hashtag

 

NLP algorithm helps to analyze the tone of publications about bitcoins to predict changes in the rate of the cryptocurrency

 

Innowise Group created the solution for a cryptocurrency exchange to make more exact forecasts of the rise or fall of the bitcoin. As its rate movement depends highly on the mood of investors, it is necessary to take into account and rationalize some emotional factors as well. In addition to standard methods of predicting exchange rates, the system analyzes a huge amount of data from social networks and media, correlates them with trading data, and gives a better forecast. 

 

Our team of Python Developers and Data Scientists used the NLP algorithm that enabled the system to collect and analyze data from Twitter posts that mention the word "bitcoin." Semantic technology processes the logical structure of sentences to identify the most significant elements in the text and understand the discussions' essence. In the next step, the system collects and stores data and then uses analysis to predict changes in the bitcoin exchange rate for a given period (a week or a month).

 

The advantage of the system is that it is constantly learning. For instance, it can already recognize tiny details such as personal humor or sarcasm, thus making forecasts even more accurate. 

 

Technologies and tools: Python, spaCy, Gensim, Keras, Scikit-learn.

Employee mobile application "My Innowise"

Employee mobile application "My Innowise"

Innowise Group developed a cross-platform application available for iOS and Android devices with functionality that offers quick access to the information helpful for employees. It also allows sending user requests to the company’s internal systems to resolve various issues swiftly. Within the app, users can

  • Filter corporate information by topic, subscribe, evaluate company-related information using reactions (likes, shares)
  • View colleagues’ profiles (status, birthday with the ability to subscribe to a related notification)
  • Get notifications for quick access to the latest company news;
  • Access the corporate task manager, a section with information on the company’s organizational processes
  • Discover the employee loyalty programs information, covering discounts and bonuses
  • Use employee profile as a virtual discount card
  • Sign up for corporate activities
  • Obtain the information on recruitment conditions and functionality for sending CVs directly from the application
AR Application to Visualize Historical Objects

AR Application to Visualize Historical Objects

 

Mobile application with the Augmented Reality module allows users to witness past events and visit lost historical sites in 3D 

 

Built-in Google Maps and geolocation function help tourists to navigate in an unfamiliar city, as well as show the nearest sightseeings.

 

When users reach the attraction, e.g. a ruined building or historical site, they can learn more about it by listening to an audio guide, watching a video with past events, or studying 3D models of already non-existent buildings in the format of augmented reality: life-size, in all details. 

 

The application also lets tourists take a photo with historical characters or objects in AR. Users can download photos and videos for offline access, add to favorites, and share links to them with friends. Thus, the app enriches traveling with new immersive experiences.

 

The peculiarity of the project was the reconstruction of the archive photos of old buildings and artifacts into detailed three-dimensional models, recreated by our 3D designers and “made alive” by Unity Developers. Our .NET team focused on creating commercial content for the customer. For example, in order to take a photo with an augmented reality object, it is necessary to subscribe to the app and make a payment. The resulting photos can be shared on social media pages, which the user subscribes to during registration.

 

Technologies and tools: Unity, C#, Mapbox, AR Foundation, Unity IAP 3DStudio Max, 3D-Coat, Photoshop, .NET Core 3.1, WebAPI, MSSQL, EF Core, Azure BLOB Storage, Swagger, Google, Apple & Facebook public APIs, Serilog, Swift, Kotlin, MVP, GCD, Alamofire, Maps/CoreLocation, REST, Firebase (Analytics, Crashlytics, Distribution), REST.

Medical Application with Add-on for Cardiac Monitoring

Medical Application with Add-on for Cardiac Monitoring

 

Custom electronic data capture (EDC) system with a special add-on for portable heart monitors supports the whole cycle of clinical testing

 

We developed a flexible constructor which allows clinics and hospitals to set and customize all working processes. It helps to create study workflows with special rules and roles depending on user needs. Some clinical groups may have a separate work cycle with specific rules within the study if required. 

 

Users can create any necessary data collection and reporting forms with all required fields and special validation rules for each of them. For instance, it's possible to activate the task tracker to monitor the status of forms. The system allows flexible customization of the user interface (graphics, placement of elements, etc.). If needed, it's possible to import certain data into the system after checking them for integrity and correctness. Protecting data against alteration and preventing data breaches, all user actions are registered and stored in the audit trail available to the administrator. The system also enables users to generate various reports and export them in XLS, CSV, and PDF formats. 

 

Later on, our team also created an add-on for cardiac monitors. It allows cardiologists to monitor the condition of patients and prescribe treatment based on data from cardiac monitors. We developed a system of additional protection of personal data, whereby doctors have access to their patients' information only. 

 

Our team also implemented the Web API, which integrates third-party services such as patient registration systems, records keeping, insurance systems, etc. It allowed to expand the functionality of the app and add new users over time.

 

Technologies and tools: .ASP .NET MVC, ADO .NET, Devexpress, Devextreme, MS SQL, Azure; .NET Core Web API,  T-SQL, Azure, Cosmos DB, Azure Functions, Dapper, Azure Appication Insights, Azure AD B2C, Azure WebJobs, Azure Datastorage, jquery, RedisCache, Azure DevOps

Cloud health data management platform

Cloud health data management platform

Innowise Group’s team has rejuvenated the customer’s obsolete health data management platform for clinical trials, updating solution architecture to retire technical debt, adding new features, and migrating to a new code platform. The solution supports a complete research work cycle and provides its users with advanced reporting capabilities.

Technologies we used:

Backend: Net 4.6

Frontend: JavaScript, JQuery

Cloud services: Azure AD, custom UI for Azure Active Directory (AAD) admin center, Azure DevOps

Remote patient monitoring platform

Remote patient monitoring platform

Innowise Group’s engineering team has developed a cloud-native remote patient monitoring solution, which is companion software to the customer’s cardiac wearable monitors. The RPM solution is used for managing cardiac monitoring outside of the clinical environment complemented with a hospital web application. The cloud RPM platform’s core function is to gather data from cardiac wearables, securely store it and analyze it. From there, patient data flows to the healthcare organizations’ EHR/EMR systems and can be accessed by medical staff in the web application.

Technologies we used:

Backend: C#, ASP. NET MVC, .NET Core 3, .Net 5, Web Api

Frontend: JavaScript, JQuery

Cloud services: Azure CosmosDB, Azure Service Bus, Azure Blob, Azure Queue, Azure Tables, MSSQL, Dapper, DevExpress, DevExtreme, Azure Functions, Azure AD B2C, Azure Application Insights, RedisCache, Azure DevOps

Reviews

4.9 22 reviews
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Verification

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SILVER VERIFIED
Business Entity
Business Entity Name
Innowise Sp. z o.o.
Status
Active
Jurisdiction of Formation
Poland
ID
520012851
Date of Formation
September 22, 2021
Source
Central Statistical Office of Poland
Last Updated
March 17, 2022
Payment & Legal Filings
International Credit Risk Assessment Per our methodology, the International Credit Risk Assessment rating is determined by our analysis of a credit report and third-party data.
Moderate Risk
Source
Creditsafe
Last Updated
November 10, 2021
Client Reviews
VERIFIED CLIENT REVIEWS
21
OVERALL REVIEW RATING
4.9
Source
Clutch
LAST UPDATED
May 16, 2022