Best Machine Learning Development Companies in Europe

WeAreBrain vs N-iX: full comparison for 2026

Last updated: July 2026

Quick verdict

WeAreBrain (4.2/5) edges ahead of N-iX (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. N-iX is the stronger option for enterprises needing ML development bundled with large-scale custom software engineering capacity. The right choice depends on your project size, budget, and required tech stack.

WeAreBrain vs N-iX: head-to-head summary

Criterion WeAreBrain N-iX
Founded 2015 2002
HQ Amsterdam, Netherlands Valletta, Malta (engineering hub in Lviv, Ukraine)
Team size 51–200 1000+
Rating 4.2 / 5 4.0 / 5
Best for Companies wanting AI and machine learning delivered as part of a broader digital product build Enterprises needing ML development bundled with large-scale custom software engineering capacity
Pricing model Fixed project, dedicated team Dedicated team, staff augmentation, fixed project
Min. engagement $25K $40K
Primary tech stack Python, AWS, Azure Python, .NET, Java
Industries served SaaS, Fintech, Enterprise, Retail Fintech, Enterprise, Healthcare, Telecommunications

WeAreBrain vs N-iX: 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.

N-iX

N-iX was founded in 2002 in Lviv, Ukraine and is legally headquartered in Valletta, Malta, with major engineering hubs still in Lviv and additional offices across Poland and other European countries. The large-scale firm offers AI and machine learning development as part of a broader custom software engineering practice, drawing on over two decades of delivery history.

Services and capabilities: WeAreBrain vs N-iX

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

Tech stack comparison: WeAreBrain vs N-iX

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

Pricing comparison: WeAreBrain vs N-iX

Criterion WeAreBrain N-iX
Minimum engagement $25K $40K
Engagement models Fixed project, Dedicated team Dedicated team, Staff augmentation, Fixed project
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: WeAreBrain vs N-iX

Dimension WeAreBrain N-iX
Best company size Startup to mid-market Startup to mid-market
Best industries SaaS, Fintech, Enterprise Fintech, Enterprise, Healthcare
Best use cases Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows Enterprise-scale software programmes with an embedded ML component, Staff augmentation for large in-house ML engineering teams
Typical project type Fixed project Dedicated team

WeAreBrain vs N-iX: 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
N-iX
+ Over two decades of operating history since founding in 2002, with enterprise-scale delivery capacity
+ EU-registered legal entity in Malta with continued major engineering presence in Lviv, Ukraine
+ Broad technology coverage beyond ML, useful for large integrated software programmes
+ Established staff augmentation model for enterprises scaling engineering teams quickly
- ML and AI is one practice area within a much larger generalist software engineering business
- Primary engineering hub remains in Ukraine, carrying the same operational-continuity considerations as other Ukraine-linked firms
- Very large organization size means less boutique-style founder attention on individual ML projects

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 N-iX?

N-iX is the right choice for enterprises needing ML development bundled with large-scale custom software engineering capacity.

Over two decades of engineering scale, over 1,000 staff, with an EU-registered legal entity in Malta. Minimum engagement starts at $40K. Works best with clients in Fintech, Enterprise, Healthcare, Telecommunications.

Decision matrix: WeAreBrain vs N-iX

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 N-iX
You need consulting before committing to a build WeAreBrain

Use case fit: WeAreBrain vs N-iX

Use case WeAreBrain fit N-iX fit Winner
Building an AI-powered consumer-facing digital product Strong Limited WeAreBrain
Intelligent process automation for back-office workflows Strong Limited WeAreBrain
Enterprise-scale software programmes with an embedded ML component Limited Strong N-iX
Staff augmentation for large in-house ML engineering teams Limited Strong N-iX
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Strong N-iX

Verdict: WeAreBrain vs N-iX

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.

N-iX (4.0/5) is the better choice when enterprises needing ML development bundled with large-scale custom software engineering capacity. If your situation matches those criteria, N-iX is a competitive option.

Related comparisons

WeAreBrain vs N-iX FAQ

Is WeAreBrain better than N-iX?

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. N-iX is better for enterprises needing ML development bundled with large-scale custom software engineering capacity.

How do WeAreBrain and N-iX differ in pricing?

WeAreBrain uses fixed project, dedicated team pricing with a minimum engagement of $25K. N-iX uses dedicated team, staff augmentation, fixed project pricing with a minimum engagement of $40K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: WeAreBrain or N-iX?

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 N-iX?

WeAreBrain's primary differentiator is: digital product agency dna combined with a dedicated ai, ml, and intelligent automation practice. N-iX's primary differentiator is: over two decades of engineering scale, over 1,000 staff, with an eu-registered legal entity in malta. They also differ in team size (51–200 vs 1000+), minimum engagement ($25K vs $40K), and primary industries served (SaaS, Fintech vs Fintech, Enterprise).

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