WeAreBrain
Amsterdam-based digital product agency delivering AI, machine learning, and intelligent automation.
What is 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.
WeAreBrain was founded in 2015 and is headquartered in Amsterdam, Netherlands. The firm employs 51–200 people and works primarily with clients in SaaS, Fintech, Enterprise, Retail sectors. Its primary differentiator is: Digital product agency DNA combined with a dedicated AI, ML, and intelligent automation practice.
WeAreBrain tech stack and services
| Service area |
|---|
| ML Development |
| AI Consulting |
| MLOps |
| Data Engineering |
WeAreBrain use cases
Short answer: WeAreBrain is best suited for companies wanting AI within digital product builds.
| Use case |
|---|
| Building an AI-powered consumer-facing digital product |
| Intelligent process automation for back-office workflows |
| Machine learning features embedded into an existing SaaS platform |
| Digital transformation programmes with an AI component |
WeAreBrain pricing
Short answer: WeAreBrain uses a fixed project, dedicated team pricing approach. Minimum engagement starts at $25K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $25K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
WeAreBrain pros and cons
| Advantages | Things to consider |
|---|---|
| +A decade of operating history since founding in 2015 as an Amsterdam-based digital product agency | -AI and ML is one of several practice areas alongside broader digital product work |
| +Co-founded a dedicated AI and hyperautomation platform, Tur.ai, showing deeper AI investment beyond client services | -Some delivery ties to Kyiv, Ukraine via the Tur.ai venture carry the same continuity considerations as other Ukraine-linked firms |
| +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 |
WeAreBrain vs alternatives
How WeAreBrain compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Startups and mid-market, senior dedicated ML team. | a full-stack ML delivery team (data science, MLOps, QA) inherited from an established parent software company, at boutique-agency pricing. | 4.9 | Full comparison |
| ML6 | Enterprises, production MLOps at scale. | Official OpenAI Services Partner status combined with over a decade of pure-play ML engineering focus | 4.7 | Full comparison |
| Alexander Thamm | DACH manufacturers, AI strategy plus ML delivery. | Deep specialization in industrial and automotive ML use cases across the German Mittelstand | 4.6 | Full comparison |
| Kineo.ai | Mid-market EU businesses, lean AI consulting. | All-Germany team of AI consultants focused specifically on operational-efficiency ML use cases | 4.6 | Full comparison |
| DataRoot Labs | Startups and SMBs, lean ML team, competitive rates. | Founder-led, unfunded boutique with nearly a decade of focused custom ML delivery experience | 4.5 | Full comparison |
| Twistag | Growth-stage brands, senior-only AI agent builds. | Senior-only engineering team with a client roster including well-known global brands | 4.5 | Full comparison |
| Preste | EU companies, custom CV/NLP, French presence. | Dual Paris and Kyiv structure pairing French market presence with dedicated computer vision and NLP engineering delivery | 4.4 | Full comparison |
| STX Next | Companies wanting ML plus large-scale Python engineering. | One of Europe's largest dedicated Python engineering companies, with ML and data practices built on that scale | 4.3 | Full comparison |
| Neoteric | Mid-market companies, gen-AI PoC to production. | Two-decade-old Polish software house with a dedicated generative AI practice and a US-facing New York office | 4.3 | Full comparison |
| Tooploox | Hard ML/AI research-engineering problems. | Research-grade ML engineering with peer-reviewed academic recognition at ECCV 2024, alongside client delivery | 4.3 | Full comparison |
| Opinov8 | Enterprises and startups, AI across cloud engineering. | AI treated as a foundational layer across the entire engineering lifecycle, not a bolt-on service | 4.2 | Full comparison |
| FELD M | EU enterprises, long-established multi-country AI consulting. | Over two decades of operating history since founding in 2002, with organic growth into a five-office pan-European practice | 4.2 | Full comparison |
| DATAFOREST | Small/mid-market, data engineering plus ML analytics. | Combined data engineering (ETL) and ML analytics practice with a growing review base | 4.1 | Full comparison |
| Probayes | Automotive, defense, finance — Bayesian modeling expertise. | Over two decades of specialization in Bayesian AI and predictive analytics, predating the current ML and AI boom | 4.1 | Full comparison |
| Digica | Regulated industries, ML plus embedded systems. | Combines ML model development with embedded systems and IoT engineering for regulated hardware-adjacent industries | 4.1 | Full comparison |
| Imaginary Cloud | Companies wanting ML plus strong product design. | Design-led software development studio with AI positioned as a first-class capability, not an afterthought | 4.0 | Full comparison |
| N-iX | Enterprises, ML bundled with large-scale engineering. | Over two decades of engineering scale, over 1,000 staff, with an EU-registered legal entity in Malta | 4.0 | Full comparison |
| Gemmo | Companies wanting a structured, staged AI engagement. | Structured three-phase engagement model of Pathfinder, Implementation, and Optimization, rather than an open-ended consulting retainer | 4.0 | Full comparison |
| Plain Concepts | Azure-standardized enterprises, certified Microsoft AI partner. | Deep Azure-native AI and ML delivery credentials as a Microsoft Gold and AI Partner, plus mixed reality expertise | 3.9 | Full comparison |
| Edvantis | Enterprises, EU-registered nearshore ML engineering. | EU legal registration in Poland combined with substantial delivery scale across Ukraine and Germany | 3.9 | Full comparison |
| CodeLeap | Early-stage startups, fast founder-friendly AI features. | Founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines | 3.9 | Full comparison |
| High-Tech Systems & Software | Healthcare orgs, AI bundled with healthcare software. | Deep healthcare-sector software specialization in supply chain and telemedicine, with AI and ML layered on top | 3.8 | Full comparison |
| DEPT | Large brands, ML-driven marketing personalization at scale. | Proprietary AI marketing platform, Ada, and global scale of over 4,000 specialists across 30-plus offices, unmatched by any other firm on this list | 4.0 | Full comparison |
| Software Mind | Enterprises, ML bundled with multi-region engineering. | Over 25 years of operating history and enterprise-scale delivery capacity across three continents | 3.8 | Full comparison |
| Innowise | Enterprises, low-cost nearshore staff augmentation with AI. | Very large delivery scale and broad geographic reach, positioned for volume staff augmentation over specialist ML depth | 3.8 | Full comparison |
| BJSS | UK public sector, enterprise-grade AI, proven consultancy. | Over three decades of operating history and deep specialization in regulated, complex enterprise environments | 3.8 | Full comparison |
| Siili Solutions | Nordic/EU enterprises, publicly listed IT consultancy. | Publicly traded on Nasdaq Helsinki, offering financial transparency uncommon among privately held ML firms | 3.7 | Full comparison |
| SDG Group | Large enterprises, ML analytics within BPM programmes. | Three decades of management consulting heritage applied to enterprise-scale analytics and AI programmes | 3.7 | Full comparison |
| Transparity | UK Azure enterprises, certified Microsoft AI partner. | Proprietary AI Factory framework built specifically around Microsoft Azure and Copilot technologies | 3.7 | Full comparison |
WeAreBrain FAQ
What is 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.
How much does WeAreBrain charge?
WeAreBrain uses fixed project, dedicated team pricing. Minimum engagement starts at $25K. A discovery call is required to get project-specific quotes.
What tech stack does WeAreBrain use?
WeAreBrain works with Python, AWS, Azure, React, Node.js, TensorFlow. Primary industries served include SaaS, Fintech, Enterprise, Retail.
Is WeAreBrain right for enterprise?
Companies wanting AI within digital product builds. 51–200 team size. Key consideration: AI and ML is one of several practice areas alongside broader digital product work.
What are the best WeAreBrain alternatives?
The best alternatives to WeAreBrain depend on your use case. Top options are:
- Tensorway: a full-stack ml delivery team (data science, mlops, qa) inherited from an established parent software company, at boutique-agency pricing.
- ML6: official openai services partner status combined with over a decade of pure-play ml engineering focus
- Alexander Thamm: deep specialization in industrial and automotive ml use cases across the german mittelstand