WeAreBrain vs Digica: full comparison for 2026
Last updated: July 2026
Quick verdict
WeAreBrain (4.2/5) edges ahead of Digica (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. Digica is the stronger option for regulated-industry clients such as automotive, defence, and medical needing ML software with embedded systems expertise. The right choice depends on your project size, budget, and required tech stack.
WeAreBrain vs Digica: head-to-head summary
| Criterion | WeAreBrain | Digica |
|---|---|---|
| Founded | 2015 | 2009 |
| HQ | Amsterdam, Netherlands | Altrincham, UK |
| 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 | Regulated-industry clients such as automotive, defence, and medical needing ML software with embedded systems expertise |
| Pricing model | Fixed project, dedicated team | Fixed project, dedicated team |
| Min. engagement | $25K | $30K |
| Primary tech stack | Python, AWS, Azure | Python, C++, TensorFlow |
| Industries served | SaaS, Fintech, Enterprise, Retail | Automotive, Defense, Medical Devices, Telecommunications |
WeAreBrain vs Digica: 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.
Digica
Digica, founded in 2009 and legally headquartered in Altrincham, UK, provides AI and machine learning software services with additional delivery centers in Lodz, Poland; Berlin, Germany; and San Jose, California. With over 70 engineers, Digica has trained thousands of machine learning models (3,673 per company website; independently unverifiable) for regulated industries including automotive, defence, and medical devices.
Services and capabilities: WeAreBrain vs Digica
| Capability | WeAreBrain | Digica |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✓ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✓ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: WeAreBrain vs Digica
| Framework / platform | WeAreBrain | Digica |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: WeAreBrain vs Digica
| Criterion | WeAreBrain | Digica |
|---|---|---|
| Minimum engagement | $25K | $30K |
| 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 Digica
| Dimension | WeAreBrain | Digica |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Enterprise | Automotive, Defense, Medical Devices |
| Best use cases | Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows | ML model development for automotive ADAS systems, Medical device AI software requiring regulatory compliance |
| Typical project type | Fixed project | Fixed project |
WeAreBrain vs Digica: 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 |
| Digica | |
|---|---|
| + | Over 15 years of operating history since founding in 2009, in regulated, safety-critical industries |
| + | Combines ML expertise with embedded systems and IoT engineering, unusual among ML-only firms |
| + | Multi-country delivery footprint across the UK, Poland, Germany, and the US for coverage flexibility |
| + | Legally headquartered in the UK with EU delivery centers for GDPR-relevant work |
| - | High-volume model-training claims, per company website, are not independently auditable |
| - | Regulated-industry focus may mean longer sales and compliance cycles than consumer-facing ML firms |
| - | Mid-size team of over 70 engineers spread across four countries |
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 Digica?
Digica is the right choice for regulated-industry clients such as automotive, defence, and medical needing ML software with embedded systems expertise.
Combines ML model development with embedded systems and IoT engineering for regulated hardware-adjacent industries. Minimum engagement starts at $30K. Works best with clients in Automotive, Defense, Medical Devices, Telecommunications.
Decision matrix: WeAreBrain vs Digica
| 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 | WeAreBrain |
| 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 Digica
| Use case | WeAreBrain fit | Digica fit | Winner |
|---|---|---|---|
| Building an AI-powered consumer-facing digital product | Strong | Limited | WeAreBrain |
| Intelligent process automation for back-office workflows | Strong | Limited | WeAreBrain |
| ML model development for automotive ADAS systems | Limited | Strong | Digica |
| Medical device AI software requiring regulatory compliance | Limited | Strong | Digica |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: WeAreBrain vs Digica
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.
Digica (4.1/5) is the better choice when regulated-industry clients such as automotive, defence, and medical needing ML software with embedded systems expertise. If your situation matches those criteria, Digica is a competitive option.
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WeAreBrain vs Digica FAQ
Is WeAreBrain better than Digica?
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. Digica is better for regulated-industry clients such as automotive, defence, and medical needing ML software with embedded systems expertise.
How do WeAreBrain and Digica differ in pricing?
WeAreBrain uses fixed project, dedicated team pricing with a minimum engagement of $25K. Digica uses fixed project, dedicated team pricing with a minimum engagement of $30K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: WeAreBrain or Digica?
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 Digica?
WeAreBrain's primary differentiator is: digital product agency dna combined with a dedicated ai, ml, and intelligent automation practice. Digica's primary differentiator is: combines ml model development with embedded systems and iot engineering for regulated hardware-adjacent industries. They also differ in team size (51–200 vs 51–200), minimum engagement ($25K vs $30K), and primary industries served (SaaS, Fintech vs Automotive, Defense).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.