Best Machine Learning Development Companies in Europe

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.