DataRoot Labs

About DataRoot Labs

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We start the project with the initial solution architecture design document which consists of the data processing pipeline, monitoring service & hypotheses, and best fitting Machine Learning / Deep Learning architectures

Our data science & AI dev team adjusted Agile methodologies from web development for Machine Learning / Deep Learning R&D cycle including Kanban and Scrum

To set up the R&D process, we configure the tools and team operations to track, control, and iterate on the progress

Our ML development team assists with anonymizing and depersonalizing any sensitive user data, gathering and labeling custom datasets via data labeling partners or state of the art models, and cleaning the data for further exploratory data analysis Once the data is ready, we develop the Machine Learning / Deep Learning Pipeline We launch training and parameters tuning cycle, then test the model in inference mode and optimize graphs to achieve defined metrics in terms of accuracy & speed

In parallel with Model Development and Training, we launch the service development process where we merge the entire data pipeline with the Machine Learning / Deep Learning Pipeline After that, we develop the end API, service, or package which will be used in production We deploy the solution to any required destination such as cloud, dedicated servers, mobile, or embedded devices

By integrating monitoring, performance testing, and CI / CD systems, we gather insights on new data, data anomalies, and key metrics that serve as a trigger to continue improving model performance Once the service is up and running, we document the full solution and train the client’s team to use it correctly by conducting knowledge transfer workshops When necessary, we develop new features, improve the performance, keep the accuracy high and support the project on the ongoing basis

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Starting with hiring the anchoring technical leader and by leveraging our technical team’s expertise, we launch the recruitment process for the rest of the tech team We don’t stop until the last teammate needed comes on board

When in need of advanced technical expertise, you can leverage our senior AI tech team on demand for AI architecture consulting, Data Science technology stack choice, ML model development training, and other AI-related questions

We set up the legal entity and infrastructure connecting your main entity with your new employees in the R&D office while protecting your intellectual property We take care of payroll, taxes, and expense tracking so that you don’t have to

You can rest assured that we take care of your employees From regular review sessions and work satisfaction surveys to resolving routine challenges - our HR team keeps the finger on the pulse of your team

On the basis of our co-working partners in key Ukrainian cities (Kyiv, Kharkiv, Lviv, Odesa, Dnipro), we will set up your own branded office

We conduct a free consulting session to understand your startup’s idea, stage, and fundraising needs We discuss and estimate the services needed, timeline, deadlines, and expectations from our cooperation

By deep-diving into the startup’s domain, we perform the initial analysis of the market, its incumbent, and emerging players to develop unique company positioning and a profound understanding of its USP, core competitive advantages, and business strategy

Our Venture Services team prepares essential fundraising documents such as a short and long investment deck, 1-page executive summary to position the company for a successful fundraising campaign We also assist with the financial model development to support the startup’s growth plans

By leveraging our investor network and database, we form a long list of investors for initial outreach Our team assists with scheduling calls and meetings with likely backers, founders pitch, and keeping track of the fundraising funnel

Resting on our team’s VC experience, we assist entrepreneurs with navigating through term sheet clauses, round negotiation, and closing