DATAFOREST
Kyiv-based data science and web development agency with a New York office.
Founded 2018 | Kyiv, Ukraine | 51–200 employees
data-engineeringml-developmentpredictive-analyticsai-consulting
What is DATAFOREST?
DATAFOREST is a data science and software development agency founded in 2018, headquartered in Kyiv, Ukraine, with an additional office in New York. The company, with an estimated 50 to 249 employees, provides ETL pipelines, data analytics, and custom machine learning solutions, and has been recognized by The Manifest as a top-reviewed IT agency in Ukraine, per company website; independently unverifiable.
DATAFOREST was founded in 2018 and is headquartered in Kyiv, Ukraine. The firm employs 51–200 people and works primarily with clients in E-commerce, SaaS, Fintech, Healthcare sectors. Its primary differentiator is: Combined data engineering (ETL) and ML analytics practice with a growing review base.
DATAFOREST tech stack and services
PythonAirflowAWSPostgreSQLScikit-learnPower BI
| Service area |
|---|
| Data Engineering |
| ML Development |
| Predictive Analytics |
| AI Consulting |
DATAFOREST use cases
Short answer: DATAFOREST is best suited for Small/mid-market, data engineering plus ML analytics.
| Use case |
|---|
| Building ETL pipelines feeding a downstream ML model |
| Predictive analytics for e-commerce customer behavior |
| Data analytics consulting for a small or mid-market business |
| Combined data engineering and ML MVP development |
DATAFOREST pricing
Short answer: DATAFOREST uses a fixed project, dedicated team pricing approach. Minimum engagement starts at $15K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $15K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
DATAFOREST does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
DATAFOREST pros and cons
| Advantages | Things to consider |
|---|---|
| +Combines core data engineering (ETL and pipelines) with ML analytics under one team | -Kyiv, Ukraine-based delivery carries the same operational-continuity considerations as other Ukraine-linked firms |
| +Growing review base and recognition from The Manifest as a top-reviewed Ukraine IT agency | -Founded in 2018, a shorter track record than more established European ML consultancies |
| +Competitive pricing relative to Western European ML firms | -Data engineering heritage means the ML practice is comparatively newer within the firm |
| +New York office adds coverage for US-based clients |
DATAFOREST vs alternatives
How DATAFOREST compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Startups and mid-market, senior dedicated ML team. | a full-stack ML delivery team (data science, MLOps, QA) inherited from an established parent software company, at boutique-agency pricing. | 4.9 | Full comparison |
| ML6 | Enterprises, production MLOps at scale. | Official OpenAI Services Partner status combined with over a decade of pure-play ML engineering focus | 4.7 | Full comparison |
| Alexander Thamm | DACH manufacturers, AI strategy plus ML delivery. | Deep specialization in industrial and automotive ML use cases across the German Mittelstand | 4.6 | Full comparison |
| Kineo.ai | Mid-market EU businesses, lean AI consulting. | All-Germany team of AI consultants focused specifically on operational-efficiency ML use cases | 4.6 | Full comparison |
| DataRoot Labs | Startups and SMBs, lean ML team, competitive rates. | Founder-led, unfunded boutique with nearly a decade of focused custom ML delivery experience | 4.5 | Full comparison |
| Twistag | Growth-stage brands, senior-only AI agent builds. | Senior-only engineering team with a client roster including well-known global brands | 4.5 | Full comparison |
| Preste | EU companies, custom CV/NLP, French presence. | Dual Paris and Kyiv structure pairing French market presence with dedicated computer vision and NLP engineering delivery | 4.4 | Full comparison |
| STX Next | Companies wanting ML plus large-scale Python engineering. | One of Europe's largest dedicated Python engineering companies, with ML and data practices built on that scale | 4.3 | Full comparison |
| Neoteric | Mid-market companies, gen-AI PoC to production. | Two-decade-old Polish software house with a dedicated generative AI practice and a US-facing New York office | 4.3 | Full comparison |
| Tooploox | Hard ML/AI research-engineering problems. | Research-grade ML engineering with peer-reviewed academic recognition at ECCV 2024, alongside client delivery | 4.3 | Full comparison |
| Opinov8 | Enterprises and startups, AI across cloud engineering. | AI treated as a foundational layer across the entire engineering lifecycle, not a bolt-on service | 4.2 | Full comparison |
| FELD M | EU enterprises, long-established multi-country AI consulting. | Over two decades of operating history since founding in 2002, with organic growth into a five-office pan-European practice | 4.2 | Full comparison |
| WeAreBrain | Companies wanting AI within digital product builds. | Digital product agency DNA combined with a dedicated AI, ML, and intelligent automation practice | 4.2 | Full comparison |
| Probayes | Automotive, defense, finance — Bayesian modeling expertise. | Over two decades of specialization in Bayesian AI and predictive analytics, predating the current ML and AI boom | 4.1 | Full comparison |
| Digica | Regulated industries, ML plus embedded systems. | Combines ML model development with embedded systems and IoT engineering for regulated hardware-adjacent industries | 4.1 | Full comparison |
| Imaginary Cloud | Companies wanting ML plus strong product design. | Design-led software development studio with AI positioned as a first-class capability, not an afterthought | 4.0 | Full comparison |
| N-iX | Enterprises, ML bundled with large-scale engineering. | Over two decades of engineering scale, over 1,000 staff, with an EU-registered legal entity in Malta | 4.0 | Full comparison |
| Gemmo | Companies wanting a structured, staged AI engagement. | Structured three-phase engagement model of Pathfinder, Implementation, and Optimization, rather than an open-ended consulting retainer | 4.0 | Full comparison |
| Plain Concepts | Azure-standardized enterprises, certified Microsoft AI partner. | Deep Azure-native AI and ML delivery credentials as a Microsoft Gold and AI Partner, plus mixed reality expertise | 3.9 | Full comparison |
| Edvantis | Enterprises, EU-registered nearshore ML engineering. | EU legal registration in Poland combined with substantial delivery scale across Ukraine and Germany | 3.9 | Full comparison |
| CodeLeap | Early-stage startups, fast founder-friendly AI features. | Founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines | 3.9 | Full comparison |
| High-Tech Systems & Software | Healthcare orgs, AI bundled with healthcare software. | Deep healthcare-sector software specialization in supply chain and telemedicine, with AI and ML layered on top | 3.8 | Full comparison |
| DEPT | Large brands, ML-driven marketing personalization at scale. | Proprietary AI marketing platform, Ada, and global scale of over 4,000 specialists across 30-plus offices, unmatched by any other firm on this list | 4.0 | Full comparison |
| Software Mind | Enterprises, ML bundled with multi-region engineering. | Over 25 years of operating history and enterprise-scale delivery capacity across three continents | 3.8 | Full comparison |
| Innowise | Enterprises, low-cost nearshore staff augmentation with AI. | Very large delivery scale and broad geographic reach, positioned for volume staff augmentation over specialist ML depth | 3.8 | Full comparison |
| BJSS | UK public sector, enterprise-grade AI, proven consultancy. | Over three decades of operating history and deep specialization in regulated, complex enterprise environments | 3.8 | Full comparison |
| Siili Solutions | Nordic/EU enterprises, publicly listed IT consultancy. | Publicly traded on Nasdaq Helsinki, offering financial transparency uncommon among privately held ML firms | 3.7 | Full comparison |
| SDG Group | Large enterprises, ML analytics within BPM programmes. | Three decades of management consulting heritage applied to enterprise-scale analytics and AI programmes | 3.7 | Full comparison |
| Transparity | UK Azure enterprises, certified Microsoft AI partner. | Proprietary AI Factory framework built specifically around Microsoft Azure and Copilot technologies | 3.7 | Full comparison |
DATAFOREST FAQ
What is DATAFOREST?
DATAFOREST is a data science and software development agency founded in 2018, headquartered in Kyiv, Ukraine, with an additional office in New York. The company, with an estimated 50 to 249 employees, provides ETL pipelines, data analytics, and custom machine learning solutions, and has been recognized by The Manifest as a top-reviewed IT agency in Ukraine, per company website; independently unverifiable.
How much does DATAFOREST charge?
DATAFOREST uses fixed project, dedicated team pricing. Minimum engagement starts at $15K. A discovery call is required to get project-specific quotes.
What tech stack does DATAFOREST use?
DATAFOREST works with Python, Airflow, AWS, PostgreSQL, Scikit-learn, Power BI. Primary industries served include E-commerce, SaaS, Fintech, Healthcare.
Is DATAFOREST right for enterprise?
Small/mid-market, data engineering plus ML analytics. 51–200 team size. Key consideration: Kyiv, Ukraine-based delivery carries the same operational-continuity considerations as other Ukraine-linked firms.
What are the best DATAFOREST alternatives?
The best alternatives to DATAFOREST depend on your use case. Top options are:
- Tensorway: a full-stack ml delivery team (data science, mlops, qa) inherited from an established parent software company, at boutique-agency pricing.
- ML6: official openai services partner status combined with over a decade of pure-play ml engineering focus
- Alexander Thamm: deep specialization in industrial and automotive ml use cases across the german mittelstand
Compare DATAFOREST with other Machine Learning Development companies
DATAFOREST vs Tensorway DATAFOREST vs ML6 DATAFOREST vs Alexander Thamm DATAFOREST vs Kineo.ai DATAFOREST vs DataRoot Labs DATAFOREST vs Twistag DATAFOREST vs Preste DATAFOREST vs STX Next DATAFOREST vs Neoteric DATAFOREST vs Tooploox DATAFOREST vs Opinov8 DATAFOREST vs FELD M DATAFOREST vs WeAreBrain DATAFOREST vs Probayes DATAFOREST vs Digica DATAFOREST vs Imaginary Cloud DATAFOREST vs N-iX DATAFOREST vs Gemmo DATAFOREST vs Plain Concepts DATAFOREST vs Edvantis DATAFOREST vs CodeLeap DATAFOREST vs High-Tech Systems & Software DATAFOREST vs DEPT DATAFOREST vs Software Mind DATAFOREST vs Innowise DATAFOREST vs BJSS DATAFOREST vs Siili Solutions DATAFOREST vs SDG Group DATAFOREST vs Transparity