Best Machine Learning Development Companies in Europe

FELD M vs SDG Group: full comparison for 2026

Last updated: July 2026

Quick verdict

FELD M (4.2/5) edges ahead of SDG Group (3.7/5) overall. FELD M is the better choice for european enterprises wanting a long-established, multi-country data and AI consulting partner. SDG Group is the stronger option for large enterprises wanting ML-driven analytics embedded within a broader business performance management programme. The right choice depends on your project size, budget, and required tech stack.

FELD M vs SDG Group: head-to-head summary

Criterion FELD M SDG Group
Founded 2002 1994
HQ Munich, Germany Milan, Italy
Team size 51–200 1000+
Rating 4.2 / 5 3.7 / 5
Best for European enterprises wanting a long-established, multi-country data and AI consulting partner Large enterprises wanting ML-driven analytics embedded within a broader business performance management programme
Pricing model Retainer, fixed project Retainer, dedicated team, fixed project
Min. engagement $25K $50K
Primary tech stack Python, Google Cloud, Azure Python, Power BI, Tableau
Industries served Retail, Media, Automotive, Financial Services Enterprise, Financial Services, Retail, Telecommunications

FELD M vs SDG Group: 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.

SDG Group

SDG Group, founded in 1994 and headquartered in Milan, Italy, is a global management consulting firm with roughly 2,000 employees and offices spanning Milan, Barcelona, London, and beyond. SDG Group specializes in business performance management and analytical applications, with machine learning and AI delivered as part of its broader business intelligence and enterprise analytics consulting practice.

Services and capabilities: FELD M vs SDG Group

Capability FELD M SDG Group
ML model development
Computer vision
NLP
Generative AI / LLM integration
MLOps
AI strategy consulting
Staff augmentation

Tech stack comparison: FELD M vs SDG Group

Framework / platform FELD M SDG Group
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 SDG Group

Criterion FELD M SDG Group
Minimum engagement $25K $50K
Engagement models Retainer, Fixed project Retainer, Dedicated team, Fixed project
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: FELD M vs SDG Group

Dimension FELD M SDG Group
Best company size Startup to mid-market Startup to mid-market
Best industries Retail, Media, Automotive Enterprise, Financial Services, Retail
Best use cases Data and AI strategy consulting for an enterprise client, Predictive analytics for retail or media audience data Enterprise business performance management with an ML component, Large-scale analytical applications for finance or retail clients
Typical project type Retainer Retainer

FELD M vs SDG Group: 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
SDG Group
+ Three decades of operating history since founding in 1994, as a global management consulting firm
+ Enterprise-scale delivery capacity of roughly 2,000 staff across multiple European and international offices
+ Deep business performance management heritage grounds AI work in measurable business outcomes
+ Established relationships with large enterprise clients across multiple industries
- AI and ML is embedded within a much broader business intelligence and management consulting practice, not a dedicated specialization
- High minimum engagement size, inaccessible for startups or small businesses
- Management-consulting-led engagement model may add overhead versus lean engineering-only ML shops

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 SDG Group?

SDG Group is the right choice for large enterprises wanting ML-driven analytics embedded within a broader business performance management programme.

Three decades of management consulting heritage applied to enterprise-scale analytics and AI programmes. Minimum engagement starts at $50K. Works best with clients in Enterprise, Financial Services, Retail, Telecommunications.

Decision matrix: FELD M vs SDG Group

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 SDG Group
Your budget is at the lower end FELD M
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 SDG Group

Use case FELD M fit SDG Group 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
Enterprise business performance management with an ML component Strong Strong Both equally
Large-scale analytical applications for finance or retail clients Limited Strong SDG Group
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: FELD M vs SDG Group

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.

SDG Group (3.7/5) is the better choice when large enterprises wanting ML-driven analytics embedded within a broader business performance management programme. If your situation matches those criteria, SDG Group is a competitive option.

Related comparisons

FELD M vs SDG Group FAQ

Is FELD M better than SDG Group?

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. SDG Group is better for large enterprises wanting ML-driven analytics embedded within a broader business performance management programme.

How do FELD M and SDG Group differ in pricing?

FELD M uses retainer, fixed project pricing with a minimum engagement of $25K. SDG Group uses retainer, dedicated team, fixed project pricing with a minimum engagement of $50K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: FELD M or SDG Group?

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 SDG Group?

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. SDG Group's primary differentiator is: three decades of management consulting heritage applied to enterprise-scale analytics and ai programmes. They also differ in team size (51–200 vs 1000+), minimum engagement ($25K vs $50K), and primary industries served (Retail, Media vs Enterprise, Financial Services).

Last reviewed: July 2026. Verify all details directly with each company before making a decision.