WeAreBrain vs Gemmo: full comparison for 2026
Last updated: July 2026
Quick verdict
WeAreBrain (4.2/5) edges ahead of Gemmo (4.0/5) overall. WeAreBrain is the better choice for companies wanting AI and machine learning delivered as part of a broader digital product build. Gemmo is the stronger option for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization. The right choice depends on your project size, budget, and required tech stack.
WeAreBrain vs Gemmo: head-to-head summary
| Criterion | WeAreBrain | Gemmo |
|---|---|---|
| Founded | 2015 | 2014 |
| HQ | Amsterdam, Netherlands | Dublin, Ireland (AI Lab in Milan, Italy) |
| Team size | 51–200 | 11–50 |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Best for | Companies wanting AI and machine learning delivered as part of a broader digital product build | Companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization |
| Pricing model | Fixed project, dedicated team | Fixed-price discovery engagement, dedicated team |
| Min. engagement | $25K | $15K |
| Primary tech stack | Python, AWS, Azure | Python, Scikit-learn, AWS |
| Industries served | SaaS, Fintech, Enterprise, Retail | Sustainability, Manufacturing, Enterprise, Public Sector |
WeAreBrain vs Gemmo: 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.
Gemmo
Gemmo AI, founded in 2014 by Dr Luca Marchesotti and headquartered in Dublin, Ireland, is a boutique AI firm with an additional AI Lab in Milan, Italy. Gemmo blends strategic AI consulting with hands-on technical implementation through a structured engagement model: AI Pathfinder for opportunity discovery, followed by AI Implementation and AI Optimization phases. The firm won Best Application of AI in Sustainability at the 2023 AI Awards for a noise-source-identification API, per company website; independently unverifiable.
Services and capabilities: WeAreBrain vs Gemmo
| Capability | WeAreBrain | Gemmo |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: WeAreBrain vs Gemmo
| Framework / platform | WeAreBrain | Gemmo |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: WeAreBrain vs Gemmo
| Criterion | WeAreBrain | Gemmo |
|---|---|---|
| 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 Gemmo
| Dimension | WeAreBrain | Gemmo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Enterprise | Sustainability, Manufacturing, Enterprise |
| Best use cases | Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows | Structured AI opportunity discovery for a company new to AI adoption, Sustainability-focused AI applications such as noise or environmental monitoring |
| Typical project type | Fixed project | Fixed project |
WeAreBrain vs Gemmo: 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 |
| Gemmo | |
|---|---|
| + | Structured, staged engagement model reduces risk of open-ended AI consulting scope creep |
| + | Dual Dublin and Milan presence gives coverage across two distinct European markets |
| + | Award recognition for a real-world sustainability application at the 2023 AI Awards, per company website |
| + | Founder-led boutique structure keeps senior AI expertise close to client engagements |
| - | Small team size of 11 to 50 limits capacity for large, multi-workstream enterprise programmes |
| - | Founded in 2014 with a public track record still smaller than more established European AI consultancies |
| - | Award and case-study claims are self-reported and not independently verifiable |
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 Gemmo?
Gemmo is the right choice for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization.
Structured three-phase engagement model of Pathfinder, Implementation, and Optimization, rather than an open-ended consulting retainer. Minimum engagement starts at $15K. Works best with clients in Sustainability, Manufacturing, Enterprise, Public Sector.
Decision matrix: WeAreBrain vs Gemmo
| 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 | Gemmo |
| 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 Gemmo
| Use case | WeAreBrain fit | Gemmo fit | Winner |
|---|---|---|---|
| Building an AI-powered consumer-facing digital product | Strong | Limited | WeAreBrain |
| Intelligent process automation for back-office workflows | Strong | Limited | WeAreBrain |
| Structured AI opportunity discovery for a company new to AI adoption | Limited | Strong | Gemmo |
| Sustainability-focused AI applications such as noise or environmental monitoring | Limited | Strong | Gemmo |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: WeAreBrain vs Gemmo
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.
Gemmo (4.0/5) is the better choice when companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization. If your situation matches those criteria, Gemmo is a competitive option.
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WeAreBrain vs Gemmo FAQ
Is WeAreBrain better than Gemmo?
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. Gemmo is better for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization.
How do WeAreBrain and Gemmo differ in pricing?
WeAreBrain uses fixed project, dedicated team pricing with a minimum engagement of $25K. Gemmo uses fixed-price discovery engagement, 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 Gemmo?
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 Gemmo?
WeAreBrain's primary differentiator is: digital product agency dna combined with a dedicated ai, ml, and intelligent automation practice. Gemmo's primary differentiator is: structured three-phase engagement model of pathfinder, implementation, and optimization, rather than an open-ended consulting retainer. They also differ in team size (51–200 vs 11–50), minimum engagement ($25K vs $15K), and primary industries served (SaaS, Fintech vs Sustainability, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.