DataRoot Labs vs WeAreBrain: full comparison for 2026
Last updated: July 2026
Quick verdict
DataRoot Labs (4.5/5) edges ahead of WeAreBrain (4.2/5) overall. DataRoot Labs is the better choice for startups and SMBs needing a lean, senior custom ML team at competitive Eastern European rates. WeAreBrain is the stronger option for companies wanting AI and machine learning delivered as part of a broader digital product build. The right choice depends on your project size, budget, and required tech stack.
DataRoot Labs vs WeAreBrain: head-to-head summary
| Criterion | DataRoot Labs | WeAreBrain |
|---|---|---|
| Founded | 2016 | 2015 |
| HQ | Kyiv, Ukraine | Amsterdam, Netherlands |
| Team size | 11–50 | 51–200 |
| Rating | 4.5 / 5 | 4.2 / 5 |
| Best for | Startups and SMBs needing a lean, senior custom ML team at competitive Eastern European rates | Companies wanting AI and machine learning delivered as part of a broader digital product build |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team |
| Min. engagement | $15K | $25K |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, AWS, Azure |
| Industries served | Healthcare, Retail, Logistics, E-commerce | SaaS, Fintech, Enterprise, Retail |
DataRoot Labs vs WeAreBrain: overview
DataRoot Labs
DataRoot Labs is an AI and machine learning development company founded in 2016 in Kyiv, Ukraine by Ivan Didur, Max Frolov, and Yuliya Sychikova. With a compact team of roughly 26 specialists, the studio builds custom ML solutions spanning computer vision, predictive analytics, and NLP for clients in healthcare, retail, and logistics. As an unfunded, founder-led company, it operates with lean overhead and close founder involvement on client projects.
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.
Services and capabilities: DataRoot Labs vs WeAreBrain
| Capability | DataRoot Labs | WeAreBrain |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP | ✓ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| AI strategy consulting | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: DataRoot Labs vs WeAreBrain
| Framework / platform | DataRoot Labs | WeAreBrain |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: DataRoot Labs vs WeAreBrain
| Criterion | DataRoot Labs | WeAreBrain |
|---|---|---|
| Minimum engagement | $15K | $25K |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: DataRoot Labs vs WeAreBrain
| Dimension | DataRoot Labs | WeAreBrain |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail, Logistics | SaaS, Fintech, Enterprise |
| Best use cases | Computer vision for retail shelf and inventory monitoring, Predictive analytics for healthcare patient outcomes | Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows |
| Typical project type | Fixed project | Fixed project |
DataRoot Labs vs WeAreBrain: pros and cons
| DataRoot Labs | |
|---|---|
| + | Nearly a decade of focused delivery experience since founding in 2016 |
| + | Founder-led team keeps senior expertise directly involved in client work |
| + | Competitive Eastern European pricing relative to Western European or US firms |
| + | Specific vertical depth in healthcare and retail computer vision use cases |
| - | Ukraine-based delivery carries geopolitical and operational-continuity risk clients should factor into vendor due diligence |
| - | Small team (around 26) limits capacity for large concurrent programmes |
| - | Remains unfunded and bootstrapped, which may limit scaling speed versus VC-backed peers |
| 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 |
Who should choose DataRoot Labs?
DataRoot Labs is the right choice for startups and SMBs needing a lean, senior custom ML team at competitive Eastern European rates.
Founder-led, unfunded boutique with nearly a decade of focused custom ML delivery experience. Minimum engagement starts at $15K. Works best with clients in Healthcare, Retail, Logistics, E-commerce.
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.
Decision matrix: DataRoot Labs vs WeAreBrain
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | DataRoot Labs |
| You need a large dedicated team for an ongoing programme | DataRoot Labs |
| Your budget is at the lower end | DataRoot Labs |
| You need specialist depth in a specific vertical | DataRoot Labs |
| 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: DataRoot Labs vs WeAreBrain
| Use case | DataRoot Labs fit | WeAreBrain fit | Winner |
|---|---|---|---|
| Computer vision for retail shelf and inventory monitoring | Strong | Limited | DataRoot Labs |
| Predictive analytics for healthcare patient outcomes | Strong | Limited | DataRoot Labs |
| Building an AI-powered consumer-facing digital product | Limited | Strong | WeAreBrain |
| Intelligent process automation for back-office workflows | Limited | Strong | WeAreBrain |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataRoot Labs vs WeAreBrain
DataRoot Labs (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Founder-led, unfunded boutique with nearly a decade of focused custom ML delivery experience. It is best for startups and SMBs needing a lean, senior custom ML team at competitive Eastern European rates.
WeAreBrain (4.2/5) is the better choice when companies wanting AI and machine learning delivered as part of a broader digital product build. If your situation matches those criteria, WeAreBrain is a competitive option.
Related comparisons
DataRoot Labs vs WeAreBrain FAQ
Is DataRoot Labs better than WeAreBrain?
DataRoot Labs (4.5/5) scores higher overall, but "better" depends on your use case. DataRoot Labs is better for startups and SMBs needing a lean, senior custom ML team at competitive Eastern European rates. WeAreBrain is better for companies wanting AI and machine learning delivered as part of a broader digital product build.
How do DataRoot Labs and WeAreBrain differ in pricing?
DataRoot Labs uses fixed project, dedicated team pricing with a minimum engagement of $15K. WeAreBrain uses fixed project, dedicated team pricing with a minimum engagement of $25K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: DataRoot Labs or WeAreBrain?
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 DataRoot Labs and WeAreBrain?
DataRoot Labs's primary differentiator is: founder-led, unfunded boutique with nearly a decade of focused custom ml delivery experience. WeAreBrain's primary differentiator is: digital product agency dna combined with a dedicated ai, ml, and intelligent automation practice. They also differ in team size (11–50 vs 51–200), minimum engagement ($15K vs $25K), and primary industries served (Healthcare, Retail vs SaaS, Fintech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.