Best Machine Learning Development Companies in Europe

WeAreBrain vs CodeLeap: full comparison for 2026

Last updated: July 2026

Quick verdict

WeAreBrain (4.2/5) edges ahead of CodeLeap (3.9/5) overall. WeAreBrain is the better choice for companies wanting AI and machine learning delivered as part of a broader digital product build. CodeLeap is the stronger option for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development. The right choice depends on your project size, budget, and required tech stack.

WeAreBrain vs CodeLeap: head-to-head summary

Criterion WeAreBrain CodeLeap
Founded 2015 2019
HQ Amsterdam, Netherlands London, UK
Team size 51–200 11–50
Rating 4.2 / 5 3.9 / 5
Best for Companies wanting AI and machine learning delivered as part of a broader digital product build Early-stage and growth-stage startups wanting fast, founder-friendly AI feature development
Pricing model Fixed project, dedicated team Fixed project, dedicated team
Min. engagement $25K $15K
Primary tech stack Python, AWS, Azure Python, React, Node.js
Industries served SaaS, Fintech, Enterprise, Retail SaaS, E-commerce, Fintech

WeAreBrain vs CodeLeap: 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.

CodeLeap

CodeLeap, registered as Codeleap Ltd in England, was founded in 2019 and is headquartered in London, UK. The agency works closely with startups and growth-stage companies to build digital products with AI features, positioning itself around speed and a founder-friendly delivery model rather than large-scale enterprise engagement.

Services and capabilities: WeAreBrain vs CodeLeap

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

Tech stack comparison: WeAreBrain vs CodeLeap

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

Pricing comparison: WeAreBrain vs CodeLeap

Criterion WeAreBrain CodeLeap
Minimum engagement $25K $15K
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 CodeLeap

Dimension WeAreBrain CodeLeap
Best company size Startup to mid-market Startup to mid-market
Best industries SaaS, Fintech, Enterprise SaaS, E-commerce, Fintech
Best use cases Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows Adding an AI feature to an early-stage startup product, Fast MVP development with an embedded ML component
Typical project type Fixed project Fixed project

WeAreBrain vs CodeLeap: 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
CodeLeap
+ Legally registered in England with a London-based, client-facing team
+ Founder-friendly delivery model designed specifically around startup speed and iteration
+ Lower minimum engagement size than most enterprise-oriented firms on this list
+ Focused specifically on AI-featured digital product builds rather than broad enterprise IT
- Founded in 2019, one of the newer and smaller firms on this list with a shorter track record
- Small team size of 11 to 50 limits capacity for large, multi-workstream programmes
- Less suited to heavily regulated enterprise ML programmes than larger specialist firms

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 CodeLeap?

CodeLeap is the right choice for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development.

Founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines. Minimum engagement starts at $15K. Works best with clients in SaaS, E-commerce, Fintech.

Decision matrix: WeAreBrain vs CodeLeap

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 CodeLeap
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 CodeLeap

Use case WeAreBrain fit CodeLeap fit Winner
Building an AI-powered consumer-facing digital product Strong Limited WeAreBrain
Intelligent process automation for back-office workflows Strong Limited WeAreBrain
Adding an AI feature to an early-stage startup product Limited Strong CodeLeap
Fast MVP development with an embedded ML component Limited Strong CodeLeap
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: WeAreBrain vs CodeLeap

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.

CodeLeap (3.9/5) is the better choice when early-stage and growth-stage startups wanting fast, founder-friendly AI feature development. If your situation matches those criteria, CodeLeap is a competitive option.

Related comparisons

WeAreBrain vs CodeLeap FAQ

Is WeAreBrain better than CodeLeap?

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. CodeLeap is better for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development.

How do WeAreBrain and CodeLeap differ in pricing?

WeAreBrain uses fixed project, dedicated team pricing with a minimum engagement of $25K. CodeLeap uses fixed project, dedicated team pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: WeAreBrain or CodeLeap?

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 CodeLeap?

WeAreBrain's primary differentiator is: digital product agency dna combined with a dedicated ai, ml, and intelligent automation practice. CodeLeap's primary differentiator is: founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines. They also differ in team size (51–200 vs 11–50), minimum engagement ($25K vs $15K), and primary industries served (SaaS, Fintech vs SaaS, E-commerce).

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