FELD M vs N-iX: full comparison for 2026
Last updated: July 2026
Quick verdict
FELD M (4.2/5) edges ahead of N-iX (4.0/5) overall. FELD M is the better choice for european enterprises wanting a long-established, multi-country data and AI consulting partner. N-iX is the stronger option for enterprises needing ML development bundled with large-scale custom software engineering capacity. The right choice depends on your project size, budget, and required tech stack.
FELD M vs N-iX: head-to-head summary
| Criterion | FELD M | N-iX |
|---|---|---|
| Founded | 2002 | 2002 |
| HQ | Munich, Germany | Valletta, Malta (engineering hub in Lviv, Ukraine) |
| Team size | 51–200 | 1000+ |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Best for | European enterprises wanting a long-established, multi-country data and AI consulting partner | Enterprises needing ML development bundled with large-scale custom software engineering capacity |
| Pricing model | Retainer, fixed project | Dedicated team, staff augmentation, fixed project |
| Min. engagement | $25K | $40K |
| Primary tech stack | Python, Google Cloud, Azure | Python, .NET, Java |
| Industries served | Retail, Media, Automotive, Financial Services | Fintech, Enterprise, Healthcare, Telecommunications |
FELD M vs N-iX: 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.
N-iX
N-iX was founded in 2002 in Lviv, Ukraine and is legally headquartered in Valletta, Malta, with major engineering hubs still in Lviv and additional offices across Poland and other European countries. The large-scale firm offers AI and machine learning development as part of a broader custom software engineering practice, drawing on over two decades of delivery history.
Services and capabilities: FELD M vs N-iX
| Capability | FELD M | N-iX |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✓ |
Tech stack comparison: FELD M vs N-iX
| Framework / platform | FELD M | N-iX |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | N/A | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: FELD M vs N-iX
| Criterion | FELD M | N-iX |
|---|---|---|
| Minimum engagement | $25K | $40K |
| Engagement models | Retainer, Fixed project | Dedicated team, Staff augmentation, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: FELD M vs N-iX
| Dimension | FELD M | N-iX |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Media, Automotive | Fintech, Enterprise, Healthcare |
| Best use cases | Data and AI strategy consulting for an enterprise client, Predictive analytics for retail or media audience data | Enterprise-scale software programmes with an embedded ML component, Staff augmentation for large in-house ML engineering teams |
| Typical project type | Retainer | Dedicated team |
FELD M vs N-iX: 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 |
| N-iX | |
|---|---|
| + | Over two decades of operating history since founding in 2002, with enterprise-scale delivery capacity |
| + | EU-registered legal entity in Malta with continued major engineering presence in Lviv, Ukraine |
| + | Broad technology coverage beyond ML, useful for large integrated software programmes |
| + | Established staff augmentation model for enterprises scaling engineering teams quickly |
| - | ML and AI is one practice area within a much larger generalist software engineering business |
| - | Primary engineering hub remains in Ukraine, carrying the same operational-continuity considerations as other Ukraine-linked firms |
| - | Very large organization size means less boutique-style founder attention on individual ML projects |
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 N-iX?
N-iX is the right choice for enterprises needing ML development bundled with large-scale custom software engineering capacity.
Over two decades of engineering scale, over 1,000 staff, with an EU-registered legal entity in Malta. Minimum engagement starts at $40K. Works best with clients in Fintech, Enterprise, Healthcare, Telecommunications.
Decision matrix: FELD M vs N-iX
| 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 | N-iX |
| 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 | N-iX |
| You need consulting before committing to a build | FELD M |
Use case fit: FELD M vs N-iX
| Use case | FELD M fit | N-iX 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-scale software programmes with an embedded ML component | Limited | Strong | N-iX |
| Staff augmentation for large in-house ML engineering teams | Limited | Strong | N-iX |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | N-iX |
Verdict: FELD M vs N-iX
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.
N-iX (4.0/5) is the better choice when enterprises needing ML development bundled with large-scale custom software engineering capacity. If your situation matches those criteria, N-iX is a competitive option.
Related comparisons
FELD M vs N-iX FAQ
Is FELD M better than N-iX?
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. N-iX is better for enterprises needing ML development bundled with large-scale custom software engineering capacity.
How do FELD M and N-iX differ in pricing?
FELD M uses retainer, fixed project pricing with a minimum engagement of $25K. N-iX uses dedicated team, staff augmentation, fixed project pricing with a minimum engagement of $40K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: FELD M or N-iX?
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 N-iX?
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. N-iX's primary differentiator is: over two decades of engineering scale, over 1,000 staff, with an eu-registered legal entity in malta. They also differ in team size (51–200 vs 1000+), minimum engagement ($25K vs $40K), and primary industries served (Retail, Media vs Fintech, Enterprise).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.