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 | Last updated: July 2026
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 | Details |
|---|---|
| Data and AI strategy consulting for an enterprise client | Available for Retail, Media, Automotive, Financial Services clients |
| Predictive analytics for retail or media audience data | Available for Retail, Media, Automotive, Financial Services clients |
| Building ML-informed marketing analytics products | Available for Retail, Media, Automotive, Financial Services clients |
| Multi-country data consulting engagements | Available for Retail, Media, Automotive, Financial Services clients |
FELD M use cases
Short answer: FELD M is best suited for european enterprises wanting a long-established, multi-country data and AI consulting partner.
| Use case | Industries | Approach |
|---|---|---|
| Data and AI strategy consulting for an enterprise client | Retail, Media | Python, Google Cloud |
| Predictive analytics for retail or media audience data | Retail, Media | Python, Google Cloud |
| Building ML-informed marketing analytics products | Retail, Media | Python, Google Cloud |
| Multi-country data consulting engagements | Retail, Media | Python, Google Cloud |
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 companies needing a dedicated, senior... | Full-stack ML delivery team (data science, MLOps, QA) inherited from a 25-year-old parent company, at boutique-agency pricing | 4.9 | Full comparison |
| ML6 | Enterprises needing production MLOps infrastructure and multi-cloud AI... | Official OpenAI Services Partner status combined with over a decade of pure-play ML engineering focus | 4.7 | Full comparison |
| Alexander Thamm | German and DACH-region manufacturers and industrial firms needing... | Deep specialization in industrial and automotive ML use cases across the German Mittelstand | 4.6 | Full comparison |
| Kineo.ai | Mid-market European businesses wanting a lean, senior AI... | All-Germany team of AI consultants focused specifically on operational-efficiency ML use cases | 4.6 | Full comparison |
| DataRoot Labs | Startups and SMBs needing a lean, senior custom... | Founder-led, unfunded boutique with nearly a decade of focused custom ML delivery experience | 4.5 | Full comparison |
| Twistag | Growth-stage and enterprise brands needing senior-engineer-only AI agent... | Senior-only engineering team with a client roster including well-known global brands | 4.5 | Full comparison |
| Preste | European companies needing custom computer vision or NLP... | Dual Paris and Kyiv structure pairing French market presence with dedicated computer vision and NLP engineering delivery | 4.4 | Full comparison |
| STX Next | Companies needing ML development paired with deep, large-scale... | 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 wanting to move a generative AI... | Two-decade-old Polish software house with a dedicated generative AI practice and a US-facing New York office | 4.3 | Full comparison |
| Tooploox | Companies with genuinely hard ML and AI research-engineering... | Research-grade ML engineering with peer-reviewed academic recognition at ECCV 2024, alongside client delivery | 4.3 | Full comparison |
| Opinov8 | Enterprises and startups wanting AI embedded across a... | AI treated as a foundational layer across the entire engineering lifecycle, not a bolt-on service | 4.2 | Full comparison |
| WeAreBrain | Companies wanting AI and machine learning delivered as... | Digital product agency DNA combined with a dedicated AI, ML, and intelligent automation practice | 4.2 | Full comparison |
| DATAFOREST | Small and mid-market businesses needing data engineering plus... | Combined data engineering (ETL) and ML analytics practice with a growing review base | 4.1 | Full comparison |
| Probayes | Automotive, defense, and finance clients needing rigorous Bayesian... | Over two decades of specialization in Bayesian AI and predictive analytics, predating the current ML and AI boom | 4.1 | Full comparison |
| Digica | Regulated-industry clients such as automotive, defence, and medical... | Combines ML model development with embedded systems and IoT engineering for regulated hardware-adjacent industries | 4.1 | Full comparison |
| Imaginary Cloud | Companies wanting ML capabilities delivered alongside strong product... | Design-led software development studio with AI positioned as a first-class capability, not an afterthought | 4.0 | Full comparison |
| N-iX | Enterprises needing ML development bundled with large-scale custom... | 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, from... | Structured three-phase engagement model of Pathfinder, Implementation, and Optimization, rather than an open-ended consulting retainer | 4.0 | Full comparison |
| Plain Concepts | Enterprises standardized on Microsoft Azure wanting a certified... | 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 wanting an EU-registered vendor with large-scale nearshore... | EU legal registration in Poland combined with substantial delivery scale across Ukraine and Germany | 3.9 | Full comparison |
| CodeLeap | Early-stage and growth-stage startups wanting fast, founder-friendly AI... | Founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines | 3.9 | Full comparison |
| High-Tech Systems & Software | Healthcare organizations needing AI and ML development bundled... | Deep healthcare-sector software specialization in supply chain and telemedicine, with AI and ML layered on top | 3.8 | Full comparison |
| DEPT | Large enterprise brands needing ML-driven marketing personalization at... | 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 needing ML development bundled with large-scale, multi-region... | Over 25 years of operating history and enterprise-scale delivery capacity across three continents | 3.8 | Full comparison |
| Innowise | Enterprises needing large-scale, low-cost nearshore staff augmentation with... | 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 and regulated-industry clients needing enterprise-grade... | Over three decades of operating history and deep specialization in regulated, complex enterprise environments | 3.8 | Full comparison |
| Siili Solutions | Nordic and European enterprises wanting a publicly listed,... | Publicly traded on Nasdaq Helsinki, offering financial transparency uncommon among privately held ML firms | 3.7 | Full comparison |
| SDG Group | Large enterprises wanting ML-driven analytics embedded within a... | Three decades of management consulting heritage applied to enterprise-scale analytics and AI programmes | 3.7 | Full comparison |
| Transparity | UK enterprises fully standardized on Microsoft Azure wanting... | 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?
European enterprises wanting a long-established, multi-country data and AI consulting partner. 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: full-stack ml delivery team (data science, mlops, qa) inherited from a 25-year-old parent 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
Last reviewed: July 2026. Verify all details directly with FELD M before making a decision.