FELD M
Munich-founded data and AI consultancy that grew from a one-person analytics practice to a pan-European team.
Founded 2002 | Munich, Germany | 51–200 employees
ai-consultingml-developmentdata-engineeringpredictive-analytics
What is FELD M?
FELD M was founded in 2002 in Munich as a one-person web analytics consultancy and has grown into a team of around 60 employees, with offices in Munich, Berlin, Hamburg, Warsaw (FELD M Poland), and Basel (FELD M Switzerland). The firm offers AI, data science, and machine learning product consulting for enterprise clients.
FELD M was founded in 2002 and is headquartered in Munich, Germany. The firm employs 51–200 people and works primarily with clients in Retail, Media, Automotive, Financial Services sectors. Its primary differentiator is: Over two decades of operating history since founding in 2002, with organic growth into a five-office pan-European practice.
FELD M tech stack and services
PythonGoogle CloudAzureBigQueryLookerPower BI
| Service area |
|---|
| AI Consulting |
| ML Development |
| Data Engineering |
| Predictive Analytics |
FELD M use cases
Short answer: FELD M is best suited for EU enterprises, long-established multi-country AI consulting.
| Use case |
|---|
| Data and AI strategy consulting for an enterprise client |
| Predictive analytics for retail or media audience data |
| Building ML-informed marketing analytics products |
| Multi-country data consulting engagements |
FELD M pricing
Short answer: FELD M uses a retainer, fixed project pricing approach. Minimum engagement starts at $25K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Retainer | Monthly rate; not public | Ongoing AI engineering |
| Fixed project | From $25K | Well-defined scope |
FELD M does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
FELD M pros and cons
| Advantages | Things to consider |
|---|---|
| +Over two decades of operating history since founding in 2002, among the longest-running firms on this list | -Roots in web analytics consulting mean ML engineering depth is narrower than pure-play ML specialists |
| +Multi-country footprint across Germany, Poland, and Switzerland supports pan-European delivery | -Mid-size team of around 60 spread across five offices, which may limit concentration on any single project |
| +Grew organically from a single-client analytics practice into a full AI and data consultancy | |
| +Deep experience translating business analytics needs into ML and data science products |
FELD M vs alternatives
How FELD M 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 |
| 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 |
| 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 |
FELD M FAQ
What is FELD M?
FELD M was founded in 2002 in Munich as a one-person web analytics consultancy and has grown into a team of around 60 employees, with offices in Munich, Berlin, Hamburg, Warsaw (FELD M Poland), and Basel (FELD M Switzerland). The firm offers AI, data science, and machine learning product consulting for enterprise clients.
How much does FELD M charge?
FELD M uses retainer, fixed project pricing. Minimum engagement starts at $25K. A discovery call is required to get project-specific quotes.
What tech stack does FELD M use?
FELD M works with Python, Google Cloud, Azure, BigQuery, Looker, Power BI. Primary industries served include Retail, Media, Automotive, Financial Services.
Is FELD M right for enterprise?
EU enterprises, long-established multi-country AI consulting. 51–200 team size. Key consideration: Roots in web analytics consulting mean ML engineering depth is narrower than pure-play ML specialists.
What are the best FELD M alternatives?
The best alternatives to FELD M 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
Compare FELD M with other Machine Learning Development companies
FELD M vs Tensorway FELD M vs ML6 FELD M vs Alexander Thamm FELD M vs Kineo.ai FELD M vs DataRoot Labs FELD M vs Twistag FELD M vs Preste FELD M vs STX Next FELD M vs Neoteric FELD M vs Tooploox FELD M vs Opinov8 FELD M vs WeAreBrain FELD M vs DATAFOREST FELD M vs Probayes FELD M vs Digica FELD M vs Imaginary Cloud FELD M vs N-iX FELD M vs Gemmo FELD M vs Plain Concepts FELD M vs Edvantis FELD M vs CodeLeap FELD M vs High-Tech Systems & Software FELD M vs DEPT FELD M vs Software Mind FELD M vs Innowise FELD M vs BJSS FELD M vs Siili Solutions FELD M vs SDG Group FELD M vs Transparity