Best Machine Learning Development Companies in Europe

Kineo.ai vs WeAreBrain: full comparison for 2026

Last updated: July 2026

Quick verdict

Kineo.ai (4.6/5) edges ahead of WeAreBrain (4.2/5) overall. Kineo.ai is the better choice for mid-market European businesses wanting a lean, senior AI consulting partner for a scoped efficiency project. 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.

Kineo.ai vs WeAreBrain: head-to-head summary

Criterion Kineo.ai WeAreBrain
Founded 2020 2015
HQ Berlin, Germany Amsterdam, Netherlands
Team size 11–50 51–200
Rating 4.6 / 5 4.2 / 5
Best for Mid-market European businesses wanting a lean, senior AI consulting partner for a scoped efficiency project Companies wanting AI and machine learning delivered as part of a broader digital product build
Pricing model Fixed project, consulting retainer Fixed project, dedicated team
Min. engagement $20K $25K
Primary tech stack Python, Scikit-learn, Azure Python, AWS, Azure
Industries served Manufacturing, Logistics, Retail, Financial Services SaaS, Fintech, Enterprise, Retail

Kineo.ai vs WeAreBrain: overview

Kineo.ai

Kineo.ai is a Berlin-headquartered AI consulting firm founded in 2020. With a team of 11 to 50 employees based entirely in Germany, Kineo partners with businesses to identify and implement customized AI and ML projects aimed at improving operational efficiency. As a younger boutique, its public track record is shorter than more established German AI consultancies.

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: Kineo.ai vs WeAreBrain

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

Tech stack comparison: Kineo.ai vs WeAreBrain

Framework / platform Kineo.ai WeAreBrain
Python
TensorFlow N/A
PyTorch N/A N/A
AWS
Azure
Kubernetes N/A N/A

Pricing comparison: Kineo.ai vs WeAreBrain

Criterion Kineo.ai WeAreBrain
Minimum engagement $20K $25K
Engagement models Fixed project, Retainer Fixed project, Dedicated team
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: Kineo.ai vs WeAreBrain

Dimension Kineo.ai WeAreBrain
Best company size Startup to mid-market Startup to mid-market
Best industries Manufacturing, Logistics, Retail SaaS, Fintech, Enterprise
Best use cases Operational efficiency AI audits, Predictive analytics for logistics scheduling Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows
Typical project type Fixed project Fixed project

Kineo.ai vs WeAreBrain: pros and cons

Kineo.ai
+ Fully Germany-based team, useful for clients requiring EU-only data handling
+ Focused specifically on operational-efficiency AI use cases rather than broad generalist scope
+ Lean boutique structure enables direct access to senior consultants
- Founded in 2020, so has a shorter track record than established German AI consultancies
- Small team size (11–50) limits capacity for large multi-workstream programmes
- Fewer public named case studies available for independent verification
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 Kineo.ai?

Kineo.ai is the right choice for mid-market European businesses wanting a lean, senior AI consulting partner for a scoped efficiency project.

All-Germany team of AI consultants focused specifically on operational-efficiency ML use cases. Minimum engagement starts at $20K. Works best with clients in Manufacturing, Logistics, Retail, Financial Services.

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: Kineo.ai vs WeAreBrain

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Kineo.ai
You need a large dedicated team for an ongoing programme WeAreBrain
Your budget is at the lower end Kineo.ai
You need specialist depth in a specific vertical Kineo.ai
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Kineo.ai

Use case fit: Kineo.ai vs WeAreBrain

Use case Kineo.ai fit WeAreBrain fit Winner
Operational efficiency AI audits Strong Limited Kineo.ai
Predictive analytics for logistics scheduling Strong Limited Kineo.ai
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: Kineo.ai vs WeAreBrain

Kineo.ai (4.6/5) is the stronger overall choice for most Machine Learning Development projects. All-Germany team of AI consultants focused specifically on operational-efficiency ML use cases. It is best for mid-market European businesses wanting a lean, senior AI consulting partner for a scoped efficiency project.

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

Kineo.ai vs WeAreBrain FAQ

Is Kineo.ai better than WeAreBrain?

Kineo.ai (4.6/5) scores higher overall, but "better" depends on your use case. Kineo.ai is better for mid-market European businesses wanting a lean, senior AI consulting partner for a scoped efficiency project. WeAreBrain is better for companies wanting AI and machine learning delivered as part of a broader digital product build.

How do Kineo.ai and WeAreBrain differ in pricing?

Kineo.ai uses fixed project, consulting retainer pricing with a minimum engagement of $20K. 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: Kineo.ai 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 Kineo.ai and WeAreBrain?

Kineo.ai's primary differentiator is: all-germany team of ai consultants focused specifically on operational-efficiency ml use cases. 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 ($20K vs $25K), and primary industries served (Manufacturing, Logistics vs SaaS, Fintech).

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