WeAreBrain vs DATAFOREST: full comparison for 2026
Last updated: July 2026
Quick verdict
WeAreBrain (4.2/5) edges ahead of DATAFOREST (4.1/5) overall. WeAreBrain is the better choice for companies wanting AI and machine learning delivered as part of a broader digital product build. DATAFOREST is the stronger option for small and mid-market businesses needing data engineering plus ML analytics as a combined offering. The right choice depends on your project size, budget, and required tech stack.
WeAreBrain vs DATAFOREST: head-to-head summary
| Criterion | WeAreBrain | DATAFOREST |
|---|---|---|
| Founded | 2015 | 2018 |
| HQ | Amsterdam, Netherlands | Kyiv, Ukraine |
| Team size | 51–200 | 51–200 |
| Rating | 4.2 / 5 | 4.1 / 5 |
| Best for | Companies wanting AI and machine learning delivered as part of a broader digital product build | Small and mid-market businesses needing data engineering plus ML analytics as a combined offering |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team |
| Min. engagement | $25K | $15K |
| Primary tech stack | Python, AWS, Azure | Python, Airflow, AWS |
| Industries served | SaaS, Fintech, Enterprise, Retail | E-commerce, SaaS, Fintech, Healthcare |
WeAreBrain vs DATAFOREST: overview
WeAreBrain
WeAreBrain is an Amsterdam, Netherlands-headquartered digital product and AI agency founded in 2015 by Mario Grunitz, Elvire Jaspers, and Ievgen Miasushkin. The roughly 60 to 70 person team specializes in digital transformation, AI and machine learning applications, and intelligent process automation. In 2017, WeAreBrain co-founded Tur.ai, an AI and hyperautomation platform with joint Amsterdam and Kyiv operations, reflecting the founders' Ukrainian engineering ties.
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.
Services and capabilities: WeAreBrain vs DATAFOREST
| Capability | WeAreBrain | DATAFOREST |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: WeAreBrain vs DATAFOREST
| Framework / platform | WeAreBrain | DATAFOREST |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: WeAreBrain vs DATAFOREST
| Criterion | WeAreBrain | DATAFOREST |
|---|---|---|
| Minimum engagement | $25K | $15K |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: WeAreBrain vs DATAFOREST
| Dimension | WeAreBrain | DATAFOREST |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Enterprise | E-commerce, SaaS, Fintech |
| Best use cases | Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows | Building ETL pipelines feeding a downstream ML model, Predictive analytics for e-commerce customer behavior |
| Typical project type | Fixed project | Fixed project |
WeAreBrain vs DATAFOREST: pros and cons
| WeAreBrain | |
|---|---|
| + | A decade of operating history since founding in 2015 as an Amsterdam-based digital product agency |
| + | Co-founded a dedicated AI and hyperautomation platform, Tur.ai, showing deeper AI investment beyond client services |
| + | Combines product design with ML and AI engineering, useful for consumer-facing AI products |
| + | EU-headquartered in the Netherlands, simplifying GDPR compliance for European clients |
| - | AI and ML is one of several practice areas alongside broader digital product work |
| - | Some delivery ties to Kyiv, Ukraine via the Tur.ai venture carry the same continuity considerations as other Ukraine-linked firms |
| DATAFOREST | |
|---|---|
| + | Combines core data engineering (ETL and pipelines) with ML analytics under one team |
| + | Growing review base and recognition from The Manifest as a top-reviewed Ukraine IT agency |
| + | Competitive pricing relative to Western European ML firms |
| + | New York office adds coverage for US-based clients |
| - | Kyiv, Ukraine-based delivery carries the same operational-continuity considerations as other Ukraine-linked firms |
| - | Founded in 2018, a shorter track record than more established European ML consultancies |
| - | Data engineering heritage means the ML practice is comparatively newer within the firm |
Who should choose WeAreBrain?
WeAreBrain is the right choice for companies wanting AI and machine learning delivered as part of a broader digital product build.
Digital product agency DNA combined with a dedicated AI, ML, and intelligent automation practice. Minimum engagement starts at $25K. Works best with clients in SaaS, Fintech, Enterprise, Retail.
Who should choose DATAFOREST?
DATAFOREST is the right choice for small and mid-market businesses needing data engineering plus ML analytics as a combined offering.
Combined data engineering (ETL) and ML analytics practice with a growing review base. Minimum engagement starts at $15K. Works best with clients in E-commerce, SaaS, Fintech, Healthcare.
Decision matrix: WeAreBrain vs DATAFOREST
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | WeAreBrain |
| You need a large dedicated team for an ongoing programme | WeAreBrain |
| Your budget is at the lower end | DATAFOREST |
| You need specialist depth in a specific vertical | WeAreBrain |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | WeAreBrain |
Use case fit: WeAreBrain vs DATAFOREST
| Use case | WeAreBrain fit | DATAFOREST fit | Winner |
|---|---|---|---|
| Building an AI-powered consumer-facing digital product | Strong | Strong | Both equally |
| Intelligent process automation for back-office workflows | Strong | Limited | WeAreBrain |
| Building ETL pipelines feeding a downstream ML model | Strong | Strong | Both equally |
| Predictive analytics for e-commerce customer behavior | Limited | Strong | DATAFOREST |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: WeAreBrain vs DATAFOREST
WeAreBrain (4.2/5) is the stronger overall choice for most Machine Learning Development projects. Digital product agency DNA combined with a dedicated AI, ML, and intelligent automation practice. It is best for companies wanting AI and machine learning delivered as part of a broader digital product build.
DATAFOREST (4.1/5) is the better choice when small and mid-market businesses needing data engineering plus ML analytics as a combined offering. If your situation matches those criteria, DATAFOREST is a competitive option.
Related comparisons
WeAreBrain vs DATAFOREST FAQ
Is WeAreBrain better than DATAFOREST?
WeAreBrain (4.2/5) scores higher overall, but "better" depends on your use case. WeAreBrain is better for companies wanting AI and machine learning delivered as part of a broader digital product build. DATAFOREST is better for small and mid-market businesses needing data engineering plus ML analytics as a combined offering.
How do WeAreBrain and DATAFOREST differ in pricing?
WeAreBrain uses fixed project, dedicated team pricing with a minimum engagement of $25K. DATAFOREST uses fixed project, dedicated team pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: WeAreBrain or DATAFOREST?
WeAreBrain is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between WeAreBrain and DATAFOREST?
WeAreBrain's primary differentiator is: digital product agency dna combined with a dedicated ai, ml, and intelligent automation practice. DATAFOREST's primary differentiator is: combined data engineering (etl) and ml analytics practice with a growing review base. They also differ in team size (51–200 vs 51–200), minimum engagement ($25K vs $15K), and primary industries served (SaaS, Fintech vs E-commerce, SaaS).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.