We ❤ Data

Algoscale is an US incorporated, privately held boutique Big Data Analytics and Decision Science firm helping organizations derive valuable business insights from mountains of data through application of analytics and technology.

Our core competency is our exceptional expertise in building and customizing technology platforms to analyze any size of data backed by our ability to understand business requirements. Algoscale works across the Big Data Analytics value chain offering analysis, decision science and technology infrastructure under one roof.

 
$10,000+
 
$25 - $49 / hr
 
50 - 249
 Founded
2014
Show all +
Noida, India
headquarters

Portfolio

US based hotel chain leverage analytics to improve customer experience and increase repeat guests Image

US based hotel chain leverage analytics to improve customer experience and increase repeat guests

Majority of the hotel bookings today are done online and guest reviews are one of the key consideration for travelers to make a decision. *Research suggests over 93% of customers consider hotel reviews as an important factor for booking hotels. The client with its value based offerings had carved its niche for a certain segment of travelers and they wanted to understand how their guests rated them for their services and

experience on online review platforms, forums, travel portals and similar consumer generated content on the web. Algoscale through its analytics transformed the data into actionable insights and enabled the client to take major business decisions to improve the service quality and attract repeat customers across their hotels.

To know more --> http://bit.ly/2UMwqPp

Leveraging video analytics for golf performance analysis and training Image

Leveraging video analytics for golf performance analysis and training

Advanced video technologies and connected devices in sports produce data that can be used to analyze and improve players’ performance through analysis-driven coaching programs. In golf, achieving top performance is largely dependent on finding the right swing along with the various type of clubs – irons and woods. Sophisticated accuracy of movement is also required for putting, chipping, pitching and bunker shots. After all,

the technique-driven game of golf is among the most complex sports in existence. Algoscale helped to deliver modern video analysis system for analyzing golf swing for training the amateurs from professional golfers’ videos.

To know more --> http://bit.ly/2GxDoUE

Optimizing costs for healthcare supply chain with predictive analytics Image

Optimizing costs for healthcare supply chain with predictive analytics

Technology helps reduce spending and increase revenues by providing visibility into global spend while creating automated processes to classify spend data and identify opportunities for savings. Algoscale practiced big data analytics and predictive intelligence to bring transparency in supply chain management making the healthcare system more affordable and efficient. This enables hospitals and suppliers to effectively manage

their daily supply chain operations and generate revenues.

To know more --> http://bit.ly/2E14wJT

One of Russia’s largest retail chain drives expansion using analytics Image

One of Russia’s largest retail chain drives expansion using analytics

In the ultra-competitive retail sector, traditional sources of decision-making – such as sales history, and executives’ experience and intuition – are now insufficient. The client with its high growth, distinctive hypermarket model wanted to understand how they could help themselves with the decade long historical data collected over the years.

Algoscale left no stone unturned in extracting & providing actionable

insights and empowered the client to make strategic decisions like finding the sweet spot for setting up new stores to drive the group’s expansion.

To know more --> http://bit.ly/2SB1l3x

Reviews

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Review & Overhaul for Machine-Learning Platform

"They take guidance well, and they deliver insight along with high-quality outcomes."

Quality: 
5.0
Schedule: 
5.0
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$10,000 to $49,999
 
Sept. 2019 - Ongoing
Project summary: 

Algoscale Technologies, Inc implements data cleansing for an AI-based platform. This has involved creating and QAing various pipelines that accommodate different data acquisitions. 

The Reviewer
 
1-10 Employees
 
London, England
 
Verified
The Review
Feedback summary: 

The vendor has excelled at pairing business needs with high-quality real-world applications. An adaptable team, the specialists quickly developed a robust understanding of an entirely new product. Their detail-oriented mindset has been a highlight. 

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 an AI-based platform that helps businesses, of any scale, deploy machine learning-driven customer acquisition at scale.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Algoscale Technologies, Inc.?

We were doing a full bottom-up review of our machine learning, data pipeline, and pre-processing operations. The scope involved building multiple models to test different outcomes and compare them against a set of existing KPIs. Once that was done, we’d make a decision on whether or not we wanted to deploy new models into production.

SOLUTION

What was the scope of their involvement?

They did and continue to do quite a lot of work in terms of data cleansing and building different pipelines in order to accommodate our different data acquisitions. They combined those into a single user journey across a number of different channels. Then, they’ve built profiles and clusters against which we can target different behaviors on our customers’ sites.

They’ve really worked from the ground up in terms of building the acquisition of the data, deploying pipelines, monitoring them, and accessing the quality. Then, they built those into a production environment and ensured they were stable and scalable. They’ve pretty much been working exclusively in Python.

They had to do quite a lot of work to understand our business. They had to learn the user experience flow, connect that to the generated data, and then process that data in a way that makes sense (not only from a data science perspective but also from a real-world perspective). After we worked with them for a couple of weeks, we were confident that they understood what they were taking on.

This was partly an audit process as much as it was an R&D process.  We gave them a broad brief because we wanted to get a birds-eye view of the scope of the project. 

What is the team composition?

We’re working with two people, and we’re about to include a third person.

How did you come to work with Algoscale Technologies, Inc.?

For a couple of weeks, we spent a lot of time speaking with the CEO, their data scientists, and engineers. It was a process of us getting to know them and vice versa. Ultimately, we decided they were intuitive, committed, and definitely open to working on a long-term basis. Also, they wanted to take a holistic approach.

How much have you invested with them?

We’ve invested between $25,000 and $50,000 so far. It will probably be a $50,000 per-year contract.

What is the status of this engagement?

We started working together in September of 2019, and the work is ongoing.

RESULTS & FEEDBACK

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

It’s all working so far. We’ve already deployed what we built plus the pipelines. We’ve also deployed the way of presenting them to clients. We’re be adding our customer acquisition tools on top of the existing work they’ve have done. We’re now into the production and application phases. 

How did Algoscale Technologies, Inc. perform from a project management standpoint?

Project management is going extremely well. They communicate, deliver on time, and work long hours. They’re accommodating and detail-oriented. They take guidance well, and they deliver insight along with high-quality outcomes. We use Slack and communicate constantly, every day for the last five months.

What did you find most impressive about them?

They managed to understand a business and product offer that they had no direct experience with. They’ve delivered and built pipelines that reflect not only what we need from a business case, but also real-world outcomes. 

Are there any areas they could improve?

No, we’ve had no issues with them.

Do you have any advice for potential customers?

Set aside a period of time to have a clear, open discussion about the project scope and complexity. Ultimately, it will enable them to get their feet wet and dig into the project. We found that once we actually started work, they were able to adapt quickly and intelligently to the problems.

5.0
Overall Score
  • 5.0 Scheduling
    ON TIME / DEADLINES
    They’ve never missed a deadline.
  • 5.0 Cost
    Value / within estimates
    They’re cost-effective.
  • 5.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer
    I wouldn’t hesitate to recommend them.

Dev for IoT Automation Platform

"They have a quality and delivery-centric approach that impressed us. They always stand beyond our expectations."

Quality: 
5.0
Schedule: 
5.0
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$10,000 to $49,999
 
Oct. 2018 - Apr. 2019
Project summary: 

Algoscale Technologies, Inc. developed a logistics asset management platform. It uses GPS data on vehicles to provide insight into the operational efficiency of vehicles, drivers, and other factors.

The Reviewer
 
1-10 Employees
 
Chennai, India
Ramkumar Rengamani
Founder & CEO, Skalenow Technologies Private Ltd
 
Verified
The Review
Feedback summary: 

All product features met project requirements. The platform’s effectiveness increased orders and customer confidence. Algoscale Technologies, Inc. delivered communicated effectively. Their organization kept everything on track and ensured all bugs were fixed before the product was launched.

The client submitted this review online.

BACKGROUND

Please describe your company and your position there.

I am the Founder & CEO of Skalenow Technologies Pvt. Ltd. We are a SMAC (Social, Mobile, Analytics, Cloud) & IOT solution startup based out of Chennai, India. our product division is focused on building Logistics Asset Management platform around material handling at warehouses and manufacturing sectors using Internet of Things, artificial intelligence, cloud and big data analytics.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire Algoscale Technologies, Inc.?

We hired Algoscale to help us build a Logistics Asset Management platform around material handling at warehouses and manufacturing sectors using Internet of Things and Big data

What were your goals for this project?

To Build a logistics asset management platform where our customers can monitor the vehicles running in their warehouses. Extracting different metrics and providing insights out of it. Having a scalable infrastructure to handle any volume of data at scale.

SOLUTION

How did you select this vendor?

We interviewed lo of vendors and Algoscale's expertise matched with our expectations in terms of problem solving, python Django and Kafka expertise, Hadoop/Spark expertise, AWS cloud expertise which helped us to go with them.

Describe the project in detail.

IGNI is our flagship product to track vehicles operational efficiency that are running inside a warehouse. Raw data will come from the GPS tracking sensors fitted on the vehicles where we need to transform the data to get us meaningful insights on vehicles operational efficiency, driver's efficiency, remote immobilizing and much more which will help production shift manager to plan his day and vehicle operator's productivity.

What was the team composition?

Initially, we started with a 3 member team and increased to 5 that includes 2 full stack developer, 1 business analyst and 2 quality engineers. During the project, we lost a scrum master from our side and Algoscale extended their help by taking care of running the sprint and ensured smooth delivery.

RESULTS & FEEDBACK

Can you share any outcomes from the project that demonstrate progress or success?

We are able to monitor 100+ vehicles inside our customers warehouse located in different location within India. Productivity insights such as vehicle's running time, stop time, idle time, ignition time, drivers attendance vehicles attendance, overtime and many such reports are developed flawlessly by Algoscale which helped us in winning customers confidence that in-turn helped us to grab more orders.

How effective was the workflow between your team and theirs?

We connected with them through slack and their entire team is very effective in communicating and delivering on time. we used JIRA to run the sprint and track bugs which really coped up well with our strict timelines and developed the product and fixed bugs on time

What did you find most impressive about this company?

They have a quality and delivery-centric approach that impressed us. They always stand beyond our expectations.

Are there any areas for improvement?

Wish they have development centers close to Southern part of India.

5.0
Overall Score We are fully satisfied and engage them again
  • 5.0 Scheduling
    ON TIME / DEADLINES
    Scheduling is a piece of cake with them and they are always ready to accommodate last minute changes in active sprint and deliver at ease.
  • 5.0 Cost
    Value / within estimates
    They are reasonable in cost compared to other vendors and the quality speaks for their work and we are fully satisfied and will engage them again.
  • 5.0 Quality
    Service & deliverables
    Algoscale's quality centered approach helped us build a scalable logistics IOT platform in short span of time
  • 5.0 NPS
    Willing to refer
    We are fully satisfied with their deliverable and refer them to everyone

Data Science Support for Analytics Firm

"100% of the deadlines set by Algoscale Technologies, Inc. have been met."

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

Algoscale Technologies, Inc. provides ongoing analytic, development, and data science support for an analytics firm. 

The Reviewer
 
2-10 Employees
 
Fort Lauderdale, Florida
COO, Jakstat Solutions
 
Verified
The Review
Feedback summary: 

After nearly two years of a successful partnership, internal stakeholders are still pleased with the quality of the work Algoscale Technologies, Inc. delivers and the speed at which they do so. The reliable team is highly communicative, experienced, and knowledgeable.

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 COO of Jakstat Solutions. We build analytic projects for startups.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Algoscale Technologies, Inc.?

We were looking for a partner to support us with our various analytic projects.

SOLUTION

What was the scope of their involvement?

Primarily, Algoscale Technologies, Inc. handles data. Their team categorizes and bisects test and training data, and builds machine learning algorithms. 

Usually, the team comes back at the end of the project with an API we can use for future deliverables.

What is the team composition?

I work with about five people, as well as Neeraj (Founder, Algoscale Technologies, Inc.). The team includes a lead engineer, full-stack developers, and data scientists.

How did you come to work with Algoscale Technologies, Inc.?

We found Algoscale Technologies, Inc. on Upwork. We interviewed several candidates, but Neeraj mentioned some of the analytic work he’d done in the past, and we felt his team was best suited to handle our project.

How much have you invested with them?

We’ve spent about $60,000 during our partnership with Algoscale Technologies, Inc.

What is the status of this engagement?

We started working with Algoscale Technologies, Inc. in February 2018, and our engagement is ongoing.

RESULTS & FEEDBACK

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

One of their key metrics is Algoscale Technologies, Inc.’s time of delivery. 100% of the deadlines set by Algoscale Technologies, Inc. have been met.

How did Algoscale Technologies, Inc. perform from a project management standpoint?

The team updates us on their progress every day. We’re always able to reach out to Neeraj if the project needs to change directions or be otherwise adjusted.

What did you find most impressive about them?

Algoscale Technologies, Inc. has the most experience developing analytics projects. Whenever we come up against a challenge, the team always knows how to adjust. They have an excellent sense of the industry standard.

Are there any areas they could improve?

The only thing I wish they would do is expand. Hopefully, Algoscale Technologies, Inc. will hire more people so we can do more projects with them. 

Do you have any advice for potential customers?

Be willing and ready to discuss the project on a daily basis.

5.0
Overall Score They're very friendly and knowledgeable, and we had no issues at all on a personal level.
  • 5.0 Scheduling
    ON TIME / DEADLINES
    They've met all their deadlines.
  • 5.0 Cost
    Value / within estimates
  • 5.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer
    They're the fastest project managers out there.

Digital Advertising for Advertising Platform

"...Algoscale is unwilling to settle for anything less than full customer satisfaction."

Quality: 
5.0
Schedule: 
5.0
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
$50,000 to $199,999
 
Jan. 2017 - Mar. 2019
Project summary: 

Algoscale Technologies, Inc. created an engine to capture data and an analytics platform to synthesize the information. They consulted on which technologies to use and provided maintenance.

The Reviewer
 
11-50 Employees
 
Dallas, Texas
 
Verified
The Review
Feedback summary: 

The resulting solution was delivered on time, and it aligned with the defined requirements. An adaptable team, Algoscale responded well to scope changes. They quickly attained new knowledge and then offered valuable suggestions.

The client submitted this review online.

BACKGROUND

Please describe your company and your position there.

Our company is a Digital Advertising Platform that focuses on increasing our clients revenue through superior optimization. I am the CTO of this company.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire Algoscale Technologies, Inc.?

We hired Algoscale to build a scalable reporting and data tracking infrastructure. The technology that they built handled millions of requests per hour and operated at a global scale. It was critical that this infrastructure was able to scale without downtime and Algoscale was able to ensure that it was able to.

What were your goals for this project?

The goals of this project was to increase efficiency and performance with our product and within the organization as a whole.

SOLUTION

How did you select this vendor?

I interviewed and/or worked with at least 5 other vendors before Algoscale. After those did not work out I created a more rigorous interview process in which I gave Algoscale a small project to ensure that they could effectively complete it in a timely manner. The succeeded and in doing so showed a high level of professionalism and attention to detail. This convinced me to use them for the larger project.

Describe the project in detail.

The scope of this project was to create a big data capturing engine as well as create an analytics platform to synthesize the data. This data synthesized so that it could be presented to clients externally as well as used internally for optimizations and tracking. My role was to facilitate the project by working with the development lead from Algoscale. We contributed rough design docs and project requirements. Algoscale assisted in determining the best and most cost effective solutions and technologies to use. Algoscale was responsible for maintaining the platform after the build was complete. This was mainly for platform additions and changes

What was the team composition?

The entire team for this project was provided by Algoscale. There was one project lead and then a core of 3 engineers. The team fluctuated from there based on the workload and expertise needed.

RESULTS & FEEDBACK

Can you share any outcomes from the project that demonstrate progress or success?

The platform a built on time and met the specs that were originally laid out. Over the course of the build some of the requirements were changed as we started to fully understand what we needed. Algoscale was adaptable to these changes and helped guide us to the best possible solution for our needs.

How effective was the workflow between your team and theirs?

We had a pretty seamless workflow. Most of it was guided by the algoscale tech lead. Code was tracked through a share git repository and tasks and changes were tracked through Jira.

What did you find most impressive about this company?

Their ability to research and develop domain knowledge in areas where they had not previously operated in. Additionally Algoscale is unwilling to settle for anything less than full customer satisfaction. There were times when the changes/missteps were our fault but Algoscale stepped in and made changes without negotiation or back and forth. Their ultimate goal is a truly happy client and it shows.

Are there any areas for improvement?

It would have been nice to have a US based project lead at times however Algoscale made a great effort to be available at all times.

5.0
Overall Score Dedicated to making their clients happy at all costs
  • 5.0 Scheduling
    ON TIME / DEADLINES
    Easy and flexible even though they were on a different timezone.
  • 5.0 Cost
    Value / within estimates
    Fair and in line with industry standards
  • 5.0 Quality
    Service & deliverables
    High quality and is still in use years later.
  • 5.0 NPS
    Willing to refer
    I have referred them after this engagement and they did not disappoint

Software Dev for Marketplace

"They continue to grow and have tried to be a true partner."

Quality: 
4.0
Schedule: 
4.5
Cost: 
5.0
Willing to refer: 
5.0
The Project
 
Confidential
 
July 2014 - Ongoing
Project summary: 

Algoscale Technologies prepared a software engine to support big data analysis in a broader SaaS platform, scaling from 6–9 resources as needed for multiple sprints. They now provide product assistance. 

The Reviewer
 
1-10 Employees
 
Basking Ridge, New Jersey
 
Verified
The Review
Feedback summary: 

The curation solution successfully manages over 200 data sources for vital functions like order analytics. Through Algoscale Technologies’ innovative suggestions and consistent responsiveness, the engagement continues to exceed expectations.

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 a marketplace for the healthcare supply chain. Our software-as-a-service (SaaS) platform brings providers (hospitals) and suppliers (manufacturers, dealers, and distributors) to the same place, enabling them to do business with each other. The big difference about our solution is that, unlike others, it provides buyers as well as sellers with the ability to manage their day-to-day operations using cloud and big-data analysis.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Algoscale Technologies?

We were working on the analysis part of our solution, bringing in various sorts of structured and unstructured big data, normalizing it, making it analyzable, and using various methodologies in order to create a prediction engine. We wanted to use that engine as a means of making cost-saving recommendations.

SOLUTION

What was the scope of their involvement?

Algoscale provided software development. There was a lot of work with the data itself, both structured and unstructured. We needed the ability to understand it since the data were coming in from over 200 sources. Making it analyzable meant doing various operations connected with the ETL [extract, transform, and load] process in an easier way. There are regulatory and product data coming in from various manufacturers. We call this the curation engine internally, and it was a big part of the whole exercise.

We used various technologies, including Python, JSON, MongoDB, and Elasticsearch. There were multiple development sprints, and we used the Agile Scrum methodology. The team fluctuated between anywhere from 6–9 people at different parts of the engagement.

How did you come to work with Algoscale Technologies?

Neeraj, their founder, was actually a former colleague of mine. He’s been involved in many big-data analysis and predictive intelligence projects. We knew about other companies, but this was why we decided to use Algoscale.

What is the status of this engagement?

We have been working with Algoscale Technologies since around July of 2014. We continue to use them as a partner.

RESULTS & FEEDBACK

Could you share any evidence that would demonstrate the productivity, quality of work, or the impact of the engagement?

The database for which we’re creating the curation engine is the core of our business. It’s being used for multiple sets of analysis for order management and in a variety of other ways. I wouldn’t say that we couldn’t have done this without Algoscale, but they were helpful in speeding up the process. We had started the development, so they came in as an auxiliary resource.

How did Algoscale Technologies perform from a project management standpoint?

They performed well and worked with us in a collaborative fashion. Algoscale was responsive to our requests and brainstorming sessions, either coming up with interesting ideas and out-of-the-box suggestions or challenging the concepts we already had in place. They responded to our emails in a timely fashion. We also used Skype, Cisco WebEx, and other communication tools.

What did you find most impressive about Algoscale Technologies?

I appreciated their ability to come up with certain ideas involving newer technologies.

Are there any areas Algoscale Technologies could improve?

No, they’ve been a great partner and have helped us whenever we needed it. They continue to grow and have tried to be a true partner, bending over backward to meet our deadlines. There is always room for improvement in some areas, but I have no specific recommendations for Algoscale.

What tips or recommendations could you share that might increase the likelihood of success with Algoscale Technologies?

Clients need to have a vision when partnering with anyone. Be prepared for different kinds of contingencies. We crafted our own model neatly, which wasn’t Algoscale’s responsibility.

4.5
Overall Score
  • 4.5 Scheduling
    ON TIME / DEADLINES
    There were only a few instances in which Algoscale didn’t reach or exceed our expectations. There were some delays from our side in providing raw datasets.
  • 5.0 Cost
    Value / within estimates
    We had a planned budget. In most situations, Algoscale helped us reach and exceed our goals.
  • 4.0 Quality
    Service & deliverables
    Algoscale hit our timelines and provided an output that was much better than we anticipated. They provided innovative and efficient alternatives for our workflow.
  • 5.0 NPS
    Willing to refer
    We have already recommended them on 3 different occasions.