DataRoot Labs

BACKGROUND

Please describe your company and position.

I am the CEO & Co-Founder of Ekkobar. 

Describe what your company does in a single sentence.

We utilize AI to tell the story behind the numbers in the social media conversation, revealing the 'who, what, and why'.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire DataRoot Labs to accomplish?

• Identify ways to connect user profile and social media data for AI
• Develop LLM based on theories of users and their social media posts

SOLUTION

How did you find DataRoot Labs?

direct contact

Why did you select DataRoot Labs over others?

• High ratings
• Pricing fit our budget
• Good value for cost

How many teammates from DataRoot Labs were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

We had a series of theories about how to treat social media data by connecting additional information about the poster and conversation to create a new LLM that could provide text-classification information.  The deliverables included documentation, a finished LLM and the steps needed to udpate it.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Each week we received a project summary for the week, overall progress, any outstanding issues and the next week's deliverables.  With this, we were able to stay on project and budget throughout the whole process.  At the end of the project, they delivered all the code, documentation and processes needed.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Project management was exceptional.  Each week we received a status report for the overall project as well as for the week, outstanding issues, and next week's goals.  We communicated over Slack for questions and their response time was amazing.

What was your primary form of communication with DataRoot Labs?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

Both their technical abilities as well as their project management.  In addition, they were highly receptive to ideas and creative discussions to improve our original ideas.

Are there any areas for improvement or something DataRoot Labs could have done differently?

None that I can think of, they delivered above and beyond what I expected.

BACKGROUND

Please describe your company and position.

I am an executive at an information technology company

Describe what your company does in a single sentence.

Our startup is a social audio marketplace that allows you to meet and connect with like-minded people.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire DataRoot Labs to accomplish?

• Initially, DataRoot Labs was hired to build out AI-powered audio content recommendation algorithms based on user data and behavior.
• Eventually, they covered some data engineering and all AI tasks related to the core product of the company.

SOLUTION

How did you find DataRoot Labs?

• Online Search
• Other

Why did you select DataRoot Labs over others?

• Great culture fit
• good reviews from a trusted source.

How many teammates from DataRoot Labs were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

The team at DataRoot Labs was tasked with creating a sophisticated audio content recommendation engine that takes into account many parameters and involves substances expertise in Artificial Intelligence. They successfully delivered a working complex recommendation engine that provided valid recommendations on the content tabs within the application. 

Over time, they meticulously worked on improving the existing recommendation algorithms and adding new features. In addition, they helped us handle such tasks as developing charts and dashboards as well as ML admin tools.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The project went live with DataRoot Lab’s recommendation engine at the core of the product. Since launch, the team helped us iterate on the product including actively participating in the release of several upgraded versions of the app which took into consideration user feedback. Currently, the app is live and enjoyed by tens of thousands of users with algorithms that are working as needed and constantly improving.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

DataRoot Labs is a relatively small team, easy to get in touch and communicate with. Yet they have solid processes in place when it comes to abiding by deadlines and delivering on the scope. We could always reach their C-level with a single email and were always able to get flexible terms and special requests when needed. They helped us save time by avoiding unnecessary bureaucracy.

What was your primary form of communication with DataRoot Labs?

• Virtual Meeting

What did you find most impressive or unique about this company?

The team has been our development partner for over 2 years. They have proven to be a reliable ally that not only demonstrates on-point AI expertise but also delivers on time and on budget. They are easy to work and communicate with. I would highly recommend them to any founder of any AI startup looking for a reliable tech partner.

Are there any areas for improvement or something DataRoot Labs could have done differently?

Not really. They are great.

BACKGROUND

Please describe your company and position.

I am the Partner of AVITAR

Describe what your company does in a single sentence.

A spin-off from the legal firm, we are an AI-powered document automation platform that can help legal professionals draft legal documents quickly and accurately.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire DataRoot Labs to accomplish?

To develop a PoC - building out the initial Generative AI model to automatically populate legal documents from templates. After the PoC was released, DataRoot Labs was tasked with improving model performance and adding new features.

SOLUTION

How did you find DataRoot Labs?

They have been our client for legal work..

Why did you select DataRoot Labs over others?

Since we knew the management and great experience with them as a client, we didn’t evaluate any other options.

How many teammates from DataRoot Labs were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Platform’s PoC scope included the following functions:

• Provide a library of templates for common legal documents, such as contracts, agreements, and forms.
• Allow users to customize the templates by adding, removing, or modifying clauses as needed.
• Automatically populate the templates with relevant information, such as client names, dates, and legal terms, using natural language processing and machine learning algorithms.
• Allow users to review and edit the documents before finalizing them.
• Provide a search function to easily locate specific documents in the library.
• Allow users to create new templates and save them to the library for future use.

The NLP and machine learning algorithms should use a combination of open-source and proprietary NLP and machine learning libraries, such as spaCy, NLTK, and TensorFlow.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The AI-powered document automation tool they developed for us has been a game-changer for our legal practice. It has helped us to streamline our document drafting process and has allowed us to produce legal documents more quickly and accurately than ever before.

We first tested it within our firm. In under 4 months, the tool is already generating a lot of interest from the market. The tool is user-friendly and intuitive, and the templates provided are comprehensive and customizable. The AI algorithms used to automatically populate relevant information have been accurate and efficient, which has saved our clients time and reduced the potential for errors.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

The team at DataRoot Labs is knowledgeable, professional, and responsive throughout the entire process. They took the time to understand our specific needs and requirements and were able to deliver a product that exceeded our expectations. All of our communication was crisp and to the point. It took a bit longer than initially anticipated but the delay was mostly on our part.

What was your primary form of communication with DataRoot Labs?

• In-Person Meeting
• Virtual Meeting

What did you find most impressive or unique about this company?

Not only do they possess impressive technological capabilities, but they are also fun to work with. If you are looking for an agile AI partner with great communication and get it done attitude, look no further.

Are there any areas for improvement or something DataRoot Labs could have done differently?

Great team!

BACKGROUND

Please describe your company and position.

I am the Chief Executive Officer of Django Stars

Describe what your company does in a single sentence.

Django Stars is a software solutions provider that drives our partners from product strategy and ideation to scaling.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire DataRoot Labs to accomplish?

• We have been working with DataRoot Labs on a continuous basis for the past 5 years. While Django Stars focuses on a full cycle software development, DataRoot Labs are pros at Artificial Intelligence and Machine Learning. When our clients need that expertise, we often refer DataRoot Labs as our AI partner or deliver projects jointly where each of us focuses on our own set of deliverables.

SOLUTION

How did you find DataRoot Labs?

Referral

Why did you select DataRoot Labs over others?

• High ratings
• Good value for cost
• Referred to me
• Company values aligned

How many teammates from DataRoot Labs were assigned to this project?

6-10 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

When it comes to a specific project, recently we have jointly worked with the DataRoot Labs team on a project for the logistics industry. The project was massive in scale. Django Stars took care of all the back-end, DevOps, and front-end development. Since the project demanded an AI component that would optimize the routing of drivers, we included DataRoot Labs.

They have delivered a working AI model that allowed drivers to efficiently deliver loads based on numerous factors such as regulatory restrictions, distance, and load size among many other parameters.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

No matter the project, DRL demonstrated a deep understanding of AI technologies and their practical applications, and they were able to offer technical and business insights and recommendations that helped the client to optimize their solution. 

On the logistics project I mentioned, they delivered a working MVP that successfully optimized driver’s route based on at least 30 parameters. As result, the client had a working demo and was able to raise capital. Both of us are still working on this project on a continuous basis.

What was your primary form of communication with DataRoot Labs?

• In-Person Meeting
• Virtual Meeting

Describe their project management. Did they deliver items on time? How did they respond to your needs?

DataRoot Labs team is always highly collaborative, working closely with our team to ensure that we were aligned on project goals, timelines, and deliverables. They are available to answer questions and provide guidance, and they are proactive in identifying and addressing potential issues before they became problems.

What did you find most impressive or unique about this company?

Their level of AI expertise is incredible. I don’t think we could find anyone so deeply emerged in AI space with experience across various AI technologies (ML, NLP, Computer Vision, etc.), frameworks and industries. 

Overall, I would highly recommend DRL team to anyone looking for a technical partner with expertise in AI technologies. Their dedication to quality and their ability to work seamlessly with our team made them an invaluable asset to many joint projects, and hopefully, more to follow.

Are there any areas for improvement or something DataRoot Labs could have done differently?

Great team with solid AI expertise.

BACKGROUND

Please describe your company and position.

I am the Co-founder & CEO of Trueflutter

Describe what your company does in a single sentence.

Trueflutter is the premier dating app for Africa's middle and upper-middle-class professionals, creatives, and entrepreneurs, offering a genuine platform for meaningful connections and committed relationships.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire DataRoot Labs to accomplish?

• Create a new matching algorithm driven by machine learning

SOLUTION

How did you find DataRoot Labs?

Clutch Site

Why did you select DataRoot Labs over others?

• High ratings
• Pricing fit our budget
• Great culture fit

What was the size of DataRoot Labs’s team?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

We hired Data Root Labs to build a sophisticated machine learning-driven module for our algorithm, meticulously crafted to cater to the distinct requirements of the diverse African market.

Taking into account the wide spectrum of cultural and socio-economic backgrounds, our goal was to develop an adaptable algorithm that generates highly compatible match recommendations. This solution was to be implemented as a microservice, ensuring a scalable and efficient architecture to support its advanced machine learning capabilities.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

• We A/B tested the new algorithm against the previous one and it outperformed it clearly and has continued to improve every day. Our rate of matches as well as ratings on the appstore have improved significantly

Describe their project management. Did they deliver items on time? How did they respond to your needs?

We were blown away by the level of efficiency and transparency with which they managed the project, detailing all the tasks in Jira as well as sending a summary email ahead of each sprint, while taking the time to break down the details in our sync meetings. Our CTO said they are probably the most professional outsourced development team he has worked with

What was your primary form of communication with DataRoot Labs?

Virtual Meeting

What did you find most impressive or unique about this company?

The level of knowledge they have about machine learning and artificial intelligence is incredible. The great thing is how they understand our goals and translate that into features and code that help us achieve those outcomes.

Are there any areas for improvement or something DataRoot Labs could have done differently?

None that I can think of; they were an amazing team to work with

BACKGROUND

Please describe your company and your position there.

Founder of a small smart-up software company developing an ML-based plugin for consumer email.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire DataRoot Labs, and what were your goals?

We had collected a lot of data, but frankly I was not sure whether anybody would be able to make a machine learning model effectively out of it. I interviewed a few different ML-specialized development firms and provided a sample of the data. My goal was to receive an accurate classification model based on the proprietary data I had collected.

SOLUTION

How did you select this vendor and what were the deciding factors?

The factors were

1. specialization in ML, as opposed to other firms that claimed to be able to develop a solution in ML but did not specialize in it
2. a further sub-specialization in NLP
3. a random personal connection to the COO (we had an acquaintance in common)
4. strong interactive demo that was presented to me as part of the proposal.

Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.

1. Development of automated data cleaning scripts
2. Experimentation of various NLP models to find the most accurate ones using Python.
3. Once a model was selected, tweaking of parameters to make the model as accurate as possible.
4. Development of a classification API using the final model. (Node / JS / TS)
5. Transfer of the API, Training scripts, and documentation to our Github / cloud services environment (GCP / Kubernetes / CircleCI).

How many people from the vendor's team worked with you, and what were their positions?

I think three. One was the 'lead' who developed the model. Another was the data engineer who developed the pipeline. A third helped out on devops to transfer the model over to our repo.

RESULTS & FEEDBACK

Can you share any measurable outcomes of the project or general feedback about the deliverables?

DRL achieved beyond what they had promised, delivering a model that was above 95% accurate according to the data I provided. Their delivery of the API allowed us to implement the model they created within days, which made for a very clean handoff. They provided analysis of the categories which had been provided and included documentation for training the model in the future with different data. All in all, they understood the task very quickly with very little explanation, delivered exactly what was asked efficiently and professionally.

Describe their project management style, including communication tools and timeliness.

We created a joint slack room to share updates and questions. They were quite responsive and were timely and always willing to get on a zoom call.

What did you find most impressive or unique about this company?

They understood the goal of my project quickly and we were on the same page from the beginning.

Are there any areas for improvement or something they could have done differently?

Not really.

BACKGROUND

Please describe your company and your position there.

I am one of the co-founders and CEO of SavStart. SavStart is an Artificial Intelligence powered platform that collects, analyses and contextualizes data that encompasses all things business. It’s a comprehensive tool allowing individuals to work on their amazing ideas with a competitive edge. 

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire DataRoot Labs?

Our team comes from a background of business, technology and design. We came up with the idea to build this platform to help other business hopefuls. In the beginning, it was like trying to figure out how to build a time machine, it almost felt like mission impossible. Ivan and his team at DRL helped us turn our "time machine" into a reality.

They understood exactly what we were after and within a matter of weeks, they added all the parts needed to make our idea a reality.

What were your goals for this project?

We needed confirmation that our idea was something that could actually be built into a real working platform. The DRL team not only understood the technology needed to make the idea a reality, but they took the initiative to fully understand all aspects of our idea and the future goals we have.

SOLUTION

How did you select DataRoot Labs?

Our research for the perfect team to help us develop our platform took us out of the UK. We searched for companies all across the world and after narrowing down to 5 which we went and met personally, we knew instantly that DRL and Ivan their CTO was the team we would want to work with.

They immediately had the best understanding and a portfolio of work to prove they knew what they're talking about, especially when it came to artificial intelligence.

Describe the project in detail.

After the initial face to face meeting, we had additional online meetings with Ivan. We also got introduced to more of the DataRoot Labs team. From the first discussion to getting a breakdown of what technology we would need, along with pricing and recommendations, the process took no more than 3 weeks.

From that point onwards the DRL team has kept in touch with us on a regular basis and responded to our questions with prompt Skype calls. Even though we’re teams that are thousands of miles apart, the communication has felt like we are working very close.

What was the team composition?

We met Ivan and he has stayed in touch with us from day one and continues to always be there to assist us. He has clearly listed the team assigned to our project and introduced us to other parts of the business that can help us with raising capital to further our project.

RESULTS & FEEDBACK

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

Our platform is still in the early days, but we have a very clear path on how to get to our final product. Knowing we have DRL working with us, we are confident we will deliver a platform that is high quality and provides value to our users. Our project already has potentials to grow and there’s no doubt the DRL team will be by our side for the whole journey.

How effective was the workflow between your team and theirs?

So far, we’ve been impressed with the fast responses, knowledge, proven experience and patience from the DRL team. They keep in touch with us regularly and are eager to help us figure out any hurdles we come across.

What did you find most impressive about this company?

Their knowledge in the technology field and speed of work on existing projects is what had us in awe. After our first meeting, we felt like coming up with more ideas to work on with DRL. We look forward to sharing more AI based ideas with Ivan and his team once we’ve past some of our major milestones for the SavStart project.

Are there any areas for improvement?

Please open an office in London, it’d be a joy to work even closer. Even though you do a superb job remotely.

BACKGROUND

Please describe your company and your position there.

I'm the CEO of Arcane Future. The company provides advanced analytical services for sites and applications. We help medium and small businesses build own analytical infrastructure and get insights from the data.

OPPORTUNITY / CHALLENGE

For what projects/services did your company hire DataRoot Labs?

Our client in a medical tourism industry requested the dashboards system to make the sales and marketing processes clear, predictable and efficient. Dashboards work faster when they connected to single datasource, so it was necessary to develop the data warehouse to collect data from CRM, CMS and Google Analytics systems.

What were your goals for this project?

Create the data warehouse on Amazon Redshift and together with the client's development team configure tracking from CRM, CMS to the DWH.

SOLUTION

How did you select DataRoot Labs?

The project had time limits and we were looking for a company with the necessary expertise. Since I know that DataRoot Labs had already made similar projects we contacted and together developed a plan how make the DWH solution.

Describe the project in detail.

Once we started to work on this project we had 2 meetings with our client, his CTO and CBDM. On meetings we collected the requirements for the dashboards system and current product infrastructure. After this we together with DataRoot Labs made architecture of the DWH, and prepared technical tasks for the client's development team.

After tracking and DWH implementation DataRoot Labs tested the system and transfer to us all credentials and DWH documentation.

What was the team composition?

The team consisted of 2 data engineers and 1 project manager.

RESULTS & FEEDBACK

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

The speed of data loading from Redshift database was 2x-3x times faster compared to MySQL database.

How effective was the workflow between your team and theirs?

We communicated via Slack, they always respond in time. The workflow was managed via Jira board, to which we had access. We split the project on 1 week sprints and had a retrospective meeting every Friday.

What did you find most impressive about this company?

Due to their broad expertise in database architecture we made data warehouse which is convenient to use for an analytical work.

Are there any areas for improvement?

Overall we were satisfied with DataRoot Labs work.

BACKGROUND

Introduce your business and what you do there.

I’m the co-founder and COO of a startup organization. We work to improve clinical care for heart failure patients.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with DataRoot Labs?

We needed to develop a prediction algorithm.

SOLUTION

What was the scope of their involvement?

DataRoots worked on one of our machine learning algorithms, which was a prediction algorithm. They used synthetic patient data and managed the machine learning process with that data to deliver an algorithm that would predict the timing of an adverse event. We had an API that made the algorithm usable as part of our technology stack.

They had a framework for machine learning projects, and we went through the entire process with them. Their team used a deep learning algorithm and TensorBoard as part of the testing and training components.

We finished the first algorithm. However, we need to build several algorithms. We similarly need a dataset to develop the next one. We’re now in discussions about what that dataset will look like.

What is the team composition?

Our main technical contact was Ivan (CTO) who was primarily involved in this project. He had a team member who supported him and joined our discussions too.

How did you come to work with DataRoot Labs?

We started our search with Clutch and considered a number of organizations based on reviews and recommendations from our network. My co-founder and I conducted interviews and evaluated several different companies. We narrowed our choices to DataRoot feeling that they would be the best fit for this type of project.

How much have you invested with them?

This project cost between $10,000–$15,000.

What is the status of this engagement?

We actually started this project around January 2020, and our partnership’s ongoing.

RESULTS & FEEDBACK

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

This was our first machine learning project with any organization. One of our goals was to learn the entire process. We had expertise from reading articles but not from actually working through the entire process. We learned a lot, as did DataRoot.

We got a high level of accuracy from the prediction algorithm. The accuracy of the algorithm was what we expected — 90% plus. From that perspective, it was a success. That part’s still a little unknown because that was all with synthetic data. We haven’t run the algorithm on real data, which we’ll explore with DataRoot.

How did DataRoot Labs perform from a project management standpoint?

It was a small project, and we primarily worked with one technical person. It wasn’t complex from a project management perspective.

This project ran during COVID-19, so we had to both adapt to what that meant for our organizations. The challenges that we experienced related to the pandemic. Communication around that adjustment could’ve been better. At times, it seemed that their team was slow to respond.

What did you find most impressive about them?

Their technical skillset around AI and machine learning most impressed us. They had deep expertise, which made us feel comfortable. Their team was up to date on the latest algorithms and able to guide us. They also spent a lot of time teaching and rationalizing their decisions for us.

Are there any areas they could improve?

It was a small project, so it didn’t have much of a process around it. However, it would’ve been helpful if we had a better understanding of the project’s timeline and process.

Do you have any advice for potential customers?

Go into the project with an open mind, especially if this is your first time working on an AI or machine learning project. There’s a lot to be learned. Make sure to come to the project with a good data set that you can explain. Short of that, it’s hard to get off the starting block.