Best Machine Learning Development Companies in Europe

Imaginary Cloud

Lisbon-based AI-first software development company with offices across Europe.

Founded 2010 | Lisbon, Portugal | 51–200 employees
ml-developmentai-consultingdata-engineering

What is Imaginary Cloud?

Imaginary Cloud, founded in 2010 and headquartered in Lisbon, Portugal, is an AI-first software development company with roughly 77 employees. The firm combines design, engineering, and AI to deliver custom software and machine learning-enabled products, positioning itself around what it calls seamless digital acceleration, per company website.

Imaginary Cloud was founded in 2010 and is headquartered in Lisbon, Portugal. The firm employs 51–200 people and works primarily with clients in SaaS, Fintech, Healthcare, E-commerce sectors. Its primary differentiator is: Design-led software development studio with AI positioned as a first-class capability, not an afterthought.

Imaginary Cloud tech stack and services

PythonReactNode.jsAWSTensorFlow
Service area
ML Development
AI Consulting
Data Engineering

Imaginary Cloud use cases

Short answer: Imaginary Cloud is best suited for companies wanting ML plus strong product design.

Use case
AI-enabled consumer product design and development
Custom software with embedded ML recommendation features
UX-led AI product prototyping for a startup
Full-stack SaaS development with an ML component

Imaginary Cloud pricing

Short answer: Imaginary Cloud uses a fixed project, dedicated team pricing approach. Minimum engagement starts at $20K.

Engagement model Typical range Best for
Fixed project From $20K Well-defined scope
Dedicated team Variable; depends on team size Large programmes or team augmentation
Imaginary Cloud does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

Imaginary Cloud pros and cons

Advantages Things to consider
+15 years of operating history since founding in 2010 as a Lisbon-based software studio -Broader software and design studio heritage means ML depth is narrower than pure-play ML specialists
+Strong design and UX engineering complements ML and AI delivery for consumer-facing products -Smaller team of around 77 relative to larger regional generalists on this list
+EU-headquartered in Portugal, useful for European data-residency requirements
+Positions AI as a first-class design consideration, not a bolted-on backend feature

Imaginary Cloud vs alternatives

How Imaginary Cloud 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
WeAreBrain Companies wanting AI within digital product builds. Digital product agency DNA combined with a dedicated AI, ML, and intelligent automation 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
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

Imaginary Cloud FAQ

What is Imaginary Cloud?

Imaginary Cloud, founded in 2010 and headquartered in Lisbon, Portugal, is an AI-first software development company with roughly 77 employees. The firm combines design, engineering, and AI to deliver custom software and machine learning-enabled products, positioning itself around what it calls seamless digital acceleration, per company website.

How much does Imaginary Cloud charge?

Imaginary Cloud uses fixed project, dedicated team pricing. Minimum engagement starts at $20K. A discovery call is required to get project-specific quotes.

What tech stack does Imaginary Cloud use?

Imaginary Cloud works with Python, React, Node.js, AWS, TensorFlow. Primary industries served include SaaS, Fintech, Healthcare, E-commerce.

Is Imaginary Cloud right for enterprise?

Companies wanting ML plus strong product design. 51–200 team size. Key consideration: Broader software and design studio heritage means ML depth is narrower than pure-play ML specialists.

What are the best Imaginary Cloud alternatives?

The best alternatives to Imaginary Cloud 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
See full alternatives list

Compare Imaginary Cloud with other Machine Learning Development companies