FELD M vs Gemmo: full comparison for 2026
Last updated: July 2026
Quick verdict
FELD M (4.2/5) edges ahead of Gemmo (4.0/5) overall. FELD M is the better choice for european enterprises wanting a long-established, multi-country data and AI consulting partner. Gemmo is the stronger option for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization. The right choice depends on your project size, budget, and required tech stack.
FELD M vs Gemmo: head-to-head summary
| Criterion | FELD M | Gemmo |
|---|---|---|
| Founded | 2002 | 2014 |
| HQ | Munich, Germany | Dublin, Ireland (AI Lab in Milan, Italy) |
| Team size | 51–200 | 11–50 |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Best for | European enterprises wanting a long-established, multi-country data and AI consulting partner | Companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization |
| Pricing model | Retainer, fixed project | Fixed-price discovery engagement, dedicated team |
| Min. engagement | $25K | $15K |
| Primary tech stack | Python, Google Cloud, Azure | Python, Scikit-learn, AWS |
| Industries served | Retail, Media, Automotive, Financial Services | Sustainability, Manufacturing, Enterprise, Public Sector |
FELD M vs Gemmo: overview
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.
Gemmo
Gemmo AI, founded in 2014 by Dr Luca Marchesotti and headquartered in Dublin, Ireland, is a boutique AI firm with an additional AI Lab in Milan, Italy. Gemmo blends strategic AI consulting with hands-on technical implementation through a structured engagement model: AI Pathfinder for opportunity discovery, followed by AI Implementation and AI Optimization phases. The firm won Best Application of AI in Sustainability at the 2023 AI Awards for a noise-source-identification API, per company website; independently unverifiable.
Services and capabilities: FELD M vs Gemmo
| Capability | FELD M | Gemmo |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: FELD M vs Gemmo
| Framework / platform | FELD M | Gemmo |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | N/A | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: FELD M vs Gemmo
| Criterion | FELD M | Gemmo |
|---|---|---|
| Minimum engagement | $25K | $15K |
| Engagement models | Retainer, Fixed project | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: FELD M vs Gemmo
| Dimension | FELD M | Gemmo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Media, Automotive | Sustainability, Manufacturing, Enterprise |
| Best use cases | Data and AI strategy consulting for an enterprise client, Predictive analytics for retail or media audience data | Structured AI opportunity discovery for a company new to AI adoption, Sustainability-focused AI applications such as noise or environmental monitoring |
| Typical project type | Retainer | Fixed project |
FELD M vs Gemmo: pros and cons
| FELD M | |
|---|---|
| + | Over two decades of operating history since founding in 2002, among the longest-running firms on this list |
| + | Multi-country footprint across Germany, Poland, and Switzerland supports pan-European delivery |
| + | 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 |
| - | Roots in web analytics consulting mean ML engineering depth is narrower than pure-play ML specialists |
| - | Mid-size team of around 60 spread across five offices, which may limit concentration on any single project |
| Gemmo | |
|---|---|
| + | Structured, staged engagement model reduces risk of open-ended AI consulting scope creep |
| + | Dual Dublin and Milan presence gives coverage across two distinct European markets |
| + | Award recognition for a real-world sustainability application at the 2023 AI Awards, per company website |
| + | Founder-led boutique structure keeps senior AI expertise close to client engagements |
| - | Small team size of 11 to 50 limits capacity for large, multi-workstream enterprise programmes |
| - | Founded in 2014 with a public track record still smaller than more established European AI consultancies |
| - | Award and case-study claims are self-reported and not independently verifiable |
Who should choose FELD M?
FELD M is the right choice for european enterprises wanting a long-established, multi-country data and AI consulting partner.
Over two decades of operating history since founding in 2002, with organic growth into a five-office pan-European practice. Minimum engagement starts at $25K. Works best with clients in Retail, Media, Automotive, Financial Services.
Who should choose Gemmo?
Gemmo is the right choice for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization.
Structured three-phase engagement model of Pathfinder, Implementation, and Optimization, rather than an open-ended consulting retainer. Minimum engagement starts at $15K. Works best with clients in Sustainability, Manufacturing, Enterprise, Public Sector.
Decision matrix: FELD M vs Gemmo
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | FELD M |
| You need a large dedicated team for an ongoing programme | Gemmo |
| Your budget is at the lower end | Gemmo |
| You need specialist depth in a specific vertical | FELD M |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | FELD M |
Use case fit: FELD M vs Gemmo
| Use case | FELD M fit | Gemmo fit | Winner |
|---|---|---|---|
| Data and AI strategy consulting for an enterprise client | Strong | Limited | FELD M |
| Predictive analytics for retail or media audience data | Strong | Limited | FELD M |
| Structured AI opportunity discovery for a company new to AI adoption | Limited | Strong | Gemmo |
| Sustainability-focused AI applications such as noise or environmental monitoring | Limited | Strong | Gemmo |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: FELD M vs Gemmo
FELD M (4.2/5) is the stronger overall choice for most Machine Learning Development projects. Over two decades of operating history since founding in 2002, with organic growth into a five-office pan-European practice. It is best for european enterprises wanting a long-established, multi-country data and AI consulting partner.
Gemmo (4.0/5) is the better choice when companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization. If your situation matches those criteria, Gemmo is a competitive option.
Related comparisons
FELD M vs Gemmo FAQ
Is FELD M better than Gemmo?
FELD M (4.2/5) scores higher overall, but "better" depends on your use case. FELD M is better for european enterprises wanting a long-established, multi-country data and AI consulting partner. Gemmo is better for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization.
How do FELD M and Gemmo differ in pricing?
FELD M uses retainer, fixed project pricing with a minimum engagement of $25K. Gemmo uses fixed-price discovery engagement, 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: FELD M or Gemmo?
FELD M 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 FELD M and Gemmo?
FELD M's primary differentiator is: over two decades of operating history since founding in 2002, with organic growth into a five-office pan-european practice. Gemmo's primary differentiator is: structured three-phase engagement model of pathfinder, implementation, and optimization, rather than an open-ended consulting retainer. They also differ in team size (51–200 vs 11–50), minimum engagement ($25K vs $15K), and primary industries served (Retail, Media vs Sustainability, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.