FELD M vs Siili Solutions: full comparison for 2026
Last updated: July 2026
Quick verdict
FELD M (4.2/5) edges ahead of Siili Solutions (3.7/5) overall. FELD M is the better choice for european enterprises wanting a long-established, multi-country data and AI consulting partner. Siili Solutions is the stronger option for nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner. The right choice depends on your project size, budget, and required tech stack.
FELD M vs Siili Solutions: head-to-head summary
| Criterion | FELD M | Siili Solutions |
|---|---|---|
| Founded | 2002 | 2005 |
| HQ | Munich, Germany | Helsinki, Finland |
| Team size | 51–200 | 501–1000 |
| Rating | 4.2 / 5 | 3.7 / 5 |
| Best for | European enterprises wanting a long-established, multi-country data and AI consulting partner | Nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner |
| Pricing model | Retainer, fixed project | Dedicated team, retainer, fixed project |
| Min. engagement | $25K | $30K |
| Primary tech stack | Python, Google Cloud, Azure | Python, Java, AWS |
| Industries served | Retail, Media, Automotive, Financial Services | Enterprise, Telecommunications, Financial Services, Retail |
FELD M vs Siili Solutions: 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.
Siili Solutions
Siili Solutions Oyj, founded in 2005 and headquartered in Helsinki, Finland, is a publicly listed IT consultancy on Nasdaq Helsinki (ticker SIILI) with 500 to over 1,000 employees across 19 locations. Siili offers software development, digital transformation, and machine learning services, and expanded its AI and digital product capabilities in part through its 2020 acquisition of Budapest-based Supercharge, disclosed here as an ownership change affecting Siili's broader group structure.
Services and capabilities: FELD M vs Siili Solutions
| Capability | FELD M | Siili Solutions |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: FELD M vs Siili Solutions
| Framework / platform | FELD M | Siili Solutions |
|---|---|---|
| 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 Siili Solutions
| Criterion | FELD M | Siili Solutions |
|---|---|---|
| Minimum engagement | $25K | $30K |
| Engagement models | Retainer, Fixed project | Dedicated team, Retainer, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: FELD M vs Siili Solutions
| Dimension | FELD M | Siili Solutions |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Media, Automotive | Enterprise, Telecommunications, Financial Services |
| Best use cases | Data and AI strategy consulting for an enterprise client, Predictive analytics for retail or media audience data | Enterprise digital transformation with an ML component, Nordic-region software development and data engineering |
| Typical project type | Retainer | Dedicated team |
FELD M vs Siili Solutions: 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 |
| Siili Solutions | |
|---|---|
| + | Publicly listed on Nasdaq Helsinki, providing financial transparency and stability signals |
| + | Two decades of operating history since founding in 2005, with a large, established Nordic footprint |
| + | 19 office locations support broad European coverage and delivery flexibility |
| + | Expanded AI and digital product capability via its 2020 acquisition of Supercharge in Budapest |
| - | AI and ML is one practice within a much broader generalist IT consultancy portfolio |
| - | 2020 acquisition of Supercharge represents a group ownership change worth understanding before engaging that subsidiary specifically |
| - | Larger public-company structure may mean less flexibility than privately held boutiques |
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 Siili Solutions?
Siili Solutions is the right choice for nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner.
Publicly traded on Nasdaq Helsinki, offering financial transparency uncommon among privately held ML firms. Minimum engagement starts at $30K. Works best with clients in Enterprise, Telecommunications, Financial Services, Retail.
Decision matrix: FELD M vs Siili Solutions
| 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 | Siili Solutions |
| 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 Siili Solutions
| Use case | FELD M fit | Siili Solutions fit | Winner |
|---|---|---|---|
| Data and AI strategy consulting for an enterprise client | Strong | Strong | Both equally |
| Predictive analytics for retail or media audience data | Strong | Limited | FELD M |
| Enterprise digital transformation with an ML component | Strong | Strong | Both equally |
| Nordic-region software development and data engineering | Limited | Strong | Siili Solutions |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: FELD M vs Siili Solutions
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.
Siili Solutions (3.7/5) is the better choice when nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner. If your situation matches those criteria, Siili Solutions is a competitive option.
Related comparisons
FELD M vs Siili Solutions FAQ
Is FELD M better than Siili Solutions?
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. Siili Solutions is better for nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner.
How do FELD M and Siili Solutions differ in pricing?
FELD M uses retainer, fixed project pricing with a minimum engagement of $25K. Siili Solutions uses dedicated team, retainer, fixed project pricing with a minimum engagement of $30K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: FELD M or Siili Solutions?
Siili Solutions 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 Siili Solutions?
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. Siili Solutions's primary differentiator is: publicly traded on nasdaq helsinki, offering financial transparency uncommon among privately held ml firms. They also differ in team size (51–200 vs 501–1000), minimum engagement ($25K vs $30K), and primary industries served (Retail, Media vs Enterprise, Telecommunications).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.