Best AI Development Services

DataRoot Labs

Editor's pick #1

Kyiv data science and AI research studio for startups

Founded 2016 | Kyiv, Ukraine | 11-50 employees
Machine LearningData EngineeringAI ConsultingComputer Vision

What is DataRoot Labs?

DataRoot Labs is a Kyiv-based data science and AI consulting company founded in 2016. Team size estimates vary by source, ranging from roughly 11 to 200 employees depending on whether contractors and R&D partners are counted, but the firm consistently positions itself around applied research and development for data science and AI-powered startups rather than broad enterprise IT outsourcing. Its focus stays narrow: machine learning models, computer vision pipelines, and AI R&D partnerships for companies that need a research-capable team without hiring one in-house.

DataRoot Labs works primarily with clients in Healthtech, Fintech, Retail & e-commerce sectors. Its primary differentiator is: R&D-style engagement model built for startups, not enterprise procurement.

DataRoot Labs tech stack and services

PythonPyTorchscikit-learnApache AirflowAWS
Service area
Machine Learning
Data Engineering
AI Consulting
Computer Vision

DataRoot Labs pricing

Short answer: DataRoot Labs uses a dedicated team or fixed project pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.

Engagement model Typical range Best for
Dedicated team Variable; depends on team size Large programmes or team augmentation
Fixed project From not disclosed Well-defined scope
DataRoot Labs does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

DataRoot Labs pros and cons

Advantages Things to consider
+Research-oriented culture suits startups that need genuine ML experimentation, not templated builds. -Reported employee counts vary widely by source, making true capacity hard to verify
+Small team keeps communication direct between founders and the engineers doing the work. -Limited public information on enterprise-scale delivery experience
+Kyiv talent pool gives strong ML fundamentals at lower rates than US or Western European firms.
+Computer vision work is a genuine specialty backed by named client projects.

DataRoot Labs vs alternatives

How DataRoot Labs compares to the other top AI Development companies.

Company Best for Key difference Rating Compare
Tensorway Regulated-industry teams needing compliant, production AI. Full IP transfer plus GDPR/HIPAA/ISO-certified delivery on every engagement 4.8 Full comparison
BlueLabel Product teams wanting AI features tied to real... Decade of product-design discipline applied to LLM and agent engineering 4.6 Full comparison
Markovate Startups needing a dedicated AI product partner, not... Ten years of AI-only positioning predating the current generative AI wave 4.5 Full comparison
ITRex Group Enterprises needing AI tied to existing data infrastructure. Fifteen years pairing AI delivery with the underlying data engineering it depends on 4.3 Full comparison
Valiance Solutions Government and public-sector bodies needing decision-support AI. Built specifically around public-sector and government AI procurement, not consumer AI 4.2 Full comparison
BotsCrew SMBs wanting a dedicated conversational AI specialist. Chatbot and agent development as the sole focus since founding, not an added service line 4.2 Full comparison
EPAM Systems Fortune 500 buyers needing AI at global engineering... Public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice 4.1 Full comparison
Grid Dynamics Enterprises wanting a public, auditable AI engineering partner. Nasdaq-listed (GDYN) with quarterly financial disclosure most competitors don't provide 4.1 Full comparison
LeewayHertz Buyers wanting broad AI service coverage under one... Backed by The Hackett Group's consulting and benchmarking network post-acquisition 4.1 Full comparison
InData Labs Teams needing data science depth before an AI... Data-science-first practice rather than a generative-AI-branded service line 4.1 Full comparison
Master of Code Global Enterprises standardizing conversational AI across channels. Two decades focused specifically on enterprise conversational AI, longer than most on this list 4.0 Full comparison
Softermii Teams needing AI features built into a broader... Full-stack product development capability alongside newer AI service lines 4.0 Full comparison
SoftKraft Startups on a budget needing data-driven MVP work. Small dedicated team pricing squarely at startup and SME budgets, not enterprise rates 4.0 Full comparison
N-iX Enterprises wanting AI paired with cloud and embedded... 50-plus delivered AI projects backed by named enterprise clients like Bosch and Siemens 4.0 Full comparison
Innowise Group Buyers wanting one vendor to cover every AI... Full-cycle coverage of nearly every AI service category under a single 2,000-plus person firm 4.0 Full comparison
10Clouds Product teams wanting AI folded into UX and... AI treated as one integrated capability inside full product design and development 4.0 Full comparison
Cleveroad Startups needing AI features inside a mobile or... Production-deployment discipline carried over from a decade of mobile and web delivery 4.0 Full comparison
Accenture Global enterprises running AI transformation across many business... 60,000-plus trained generative AI practitioners inside a global consulting organization 4.0 Full comparison
AtliQ Technologies Budget-conscious teams wanting AI added to a product... US and India presence at startup-friendly pricing for a firm founded in 2017 3.9 Full comparison
Simform Enterprises pairing AI with a larger cloud engineering... 1,400-plus engineers spanning six continents inside one accountable vendor 3.9 Full comparison
10Pearls Enterprises wanting AI bundled with digital transformation work. Two decades of digital transformation delivery with AI as an established add-on practice 3.9 Full comparison
DataArt Enterprises in finance or healthcare needing AI at... Nearly 30 years of engineering history across 30-plus global delivery locations 3.9 Full comparison
Intellectsoft Enterprises wanting AI alongside blockchain or IoT work. Combines AI with blockchain and IoT engineering under one roof 3.9 Full comparison
Debut Infotech Mobile-first products needing AI features added on. Mobile and digital product development background with AI layered on top 3.9 Full comparison
eSparkBiz Cost-sensitive teams needing certified AI-adjacent delivery. CMMI Level 3 and ISO 9001 certification uncommon among firms this size 3.9 Full comparison
Growexx Startups wanting fast-growing engineering capacity with AI. Younger, fast-scaling team actively expanding a dedicated AI division 3.9 Full comparison
TechAhead Mobile app teams wanting AI added without switching... US and India dual headquarters with 22% year-over-year headcount growth reported 3.9 Full comparison
Intuz IoT-heavy products needing AI layered on top of... AI paired specifically with IoT delivery experience, not offered separately 3.9 Full comparison
HYS Enterprise EU clients wanting Netherlands-based contracting with Poland delivery. Amsterdam legal entity with an Eastern European delivery hub for EU-based contracting 3.9 Full comparison
Iflexion Enterprises wanting AI from a long-established custom software... Over 25 years of custom software delivery history predating most AI-focused competitors 3.9 Full comparison
Infosys Global enterprises needing AI inside a full IT... One of the world's largest IT services firms with a dedicated London-based consulting arm 3.9 Full comparison
Coherent Solutions Enterprises wanting broad global delivery footprint flexibility. Nine-country offshore delivery network built over three decades 3.9 Full comparison

DataRoot Labs FAQ

What is DataRoot Labs?

Kyiv data science and AI research studio for startups

How much does DataRoot Labs charge?

DataRoot Labs uses dedicated team or fixed project pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.

What tech stack does DataRoot Labs use?

DataRoot Labs works with Python, PyTorch, scikit-learn, Apache Airflow, AWS. Primary industries served include Healthtech, Fintech, Retail & e-commerce.

Is DataRoot Labs right for enterprise?

Data-heavy startups needing applied ML research capacity. 11-50 team size. Key consideration: Reported employee counts vary widely by source, making true capacity hard to verify.

What are the best DataRoot Labs alternatives?

The best alternatives to DataRoot Labs depend on your use case. Top options are:

  • Tensorway: full ip transfer plus gdpr/hipaa/iso-certified delivery on every engagement
  • BlueLabel: decade of product-design discipline applied to llm and agent engineering
  • Markovate: ten years of ai-only positioning predating the current generative ai wave
See full alternatives list

Compare DataRoot Labs with other AI Development companies

Verify all details directly with DataRoot Labs before making a decision.