Best Machine Learning Development Companies in Europe

WeAreBrain vs Probayes: full comparison for 2026

Last updated: July 2026

Quick verdict

WeAreBrain (4.2/5) edges ahead of Probayes (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. Probayes is the stronger option for automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise. The right choice depends on your project size, budget, and required tech stack.

WeAreBrain vs Probayes: head-to-head summary

Criterion WeAreBrain Probayes
Founded 2015 2003
HQ Amsterdam, Netherlands Montbonnot-Saint-Martin (Grenoble), France
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 Automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise
Pricing model Fixed project, dedicated team Retainer, fixed project
Min. engagement $25K $25K
Primary tech stack Python, AWS, Azure Python, R, Bayesian modeling frameworks
Industries served SaaS, Fintech, Enterprise, Retail Automotive, Defense, Financial Services, Healthcare

WeAreBrain vs Probayes: 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.

Probayes

Probayes, based in Montbonnot-Saint-Martin near Grenoble, France, is a private AI and data science company founded in 2003. With around 86 employees, Probayes specializes in Bayesian modeling, predictive analysis, and optimization for the automotive, defense, finance, and health sectors, making it one of the longest continuously operating AI-focused firms in this list.

Services and capabilities: WeAreBrain vs Probayes

Capability WeAreBrain Probayes
ML model development
Computer vision
NLP
Generative AI / LLM integration
MLOps
AI strategy consulting
Staff augmentation

Tech stack comparison: WeAreBrain vs Probayes

Framework / platform WeAreBrain Probayes
Python
TensorFlow N/A
PyTorch N/A N/A
AWS
Azure
Kubernetes N/A N/A

Pricing comparison: WeAreBrain vs Probayes

Criterion WeAreBrain Probayes
Minimum engagement $25K $25K
Engagement models Fixed project, Dedicated team Retainer, Fixed project
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: WeAreBrain vs Probayes

Dimension WeAreBrain Probayes
Best company size Startup to mid-market Startup to mid-market
Best industries SaaS, Fintech, Enterprise Automotive, Defense, Financial Services
Best use cases Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows Predictive maintenance modeling for automotive systems, Bayesian risk modeling for finance or defense applications
Typical project type Fixed project Retainer

WeAreBrain vs Probayes: 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
Probayes
+ Over two decades of operating history since founding in 2003, one of the longest-running AI specialists on this list
+ Deep, rigorous expertise in Bayesian modeling and predictive optimization rather than trend-driven AI positioning
+ Established presence in demanding regulated sectors like defense and automotive
+ Located in the Grenoble tech corridor, a recognized French deep-tech hub
- Bayesian and predictive-analytics specialization is narrower than firms covering the full modern generative AI stack
- Smaller regional presence in the Grenoble area versus Paris- or Amsterdam-based firms with broader visibility

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 Probayes?

Probayes is the right choice for automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise.

Over two decades of specialization in Bayesian AI and predictive analytics, predating the current ML and AI boom. Minimum engagement starts at $25K. Works best with clients in Automotive, Defense, Financial Services, Healthcare.

Decision matrix: WeAreBrain vs Probayes

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 Probayes

Use case WeAreBrain fit Probayes fit Winner
Building an AI-powered consumer-facing digital product Strong Limited WeAreBrain
Intelligent process automation for back-office workflows Strong Limited WeAreBrain
Predictive maintenance modeling for automotive systems Limited Strong Probayes
Bayesian risk modeling for finance or defense applications Limited Strong Probayes
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: WeAreBrain vs Probayes

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.

Probayes (4.1/5) is the better choice when automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise. If your situation matches those criteria, Probayes is a competitive option.

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WeAreBrain vs Probayes FAQ

Is WeAreBrain better than Probayes?

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. Probayes is better for automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise.

How do WeAreBrain and Probayes differ in pricing?

WeAreBrain uses fixed project, dedicated team pricing with a minimum engagement of $25K. Probayes uses retainer, fixed project 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: WeAreBrain or Probayes?

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 Probayes?

WeAreBrain's primary differentiator is: digital product agency dna combined with a dedicated ai, ml, and intelligent automation practice. Probayes's primary differentiator is: over two decades of specialization in bayesian ai and predictive analytics, predating the current ml and ai boom. They also differ in team size (51–200 vs 51–200), minimum engagement ($25K vs $25K), and primary industries served (SaaS, Fintech vs Automotive, Defense).

Last reviewed: July 2026. Verify all details directly with each company before making a decision.