FELD M vs Plain Concepts: full comparison for 2026
Quick verdict
FELD M (4.2/5) edges ahead of Plain Concepts (3.9/5) overall. FELD M is the better choice for EU enterprises, long-established multi-country AI consulting. Plain Concepts is the stronger option for azure-standardized enterprises, certified Microsoft AI partner. The right choice depends on your project size, budget, and required tech stack.
FELD M vs Plain Concepts: head-to-head summary
| Criterion | FELD M | Plain Concepts |
|---|---|---|
| Founded | 2002 | 2006 |
| HQ | Munich, Germany | Madrid, Spain |
| Team size | 51–200 | 201–500 |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Primary differentiator | Over two decades of operating history since founding in 2002, with organic growth into a five-office pan-European practice | Deep Azure-native AI and ML delivery credentials as a Microsoft Gold and AI Partner, plus mixed reality expertise |
| Pricing model | Retainer, fixed project | Dedicated team, fixed project, retainer |
| Min. engagement | $25K | $35K |
| Primary tech stack | Python, Google Cloud, Azure | Python, Azure ML, Azure OpenAI Service |
| Industries served | Retail, Media, Automotive, Financial Services | Enterprise, Retail, Healthcare, Financial Services |
FELD M vs Plain Concepts: 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.
Plain Concepts
Plain Concepts, founded in 2006 and headquartered in Madrid, Spain, is a 450-plus person technology consultancy with offices across the USA, UK, Spain, Germany, the Netherlands, and Romania. As a Microsoft Gold Partner, Microsoft AI Partner, and 2016 Microsoft Partner of the Year, Plain Concepts brings deep Azure-native AI and machine learning delivery experience alongside mixed reality and IoT engineering.
Services and capabilities: FELD M vs Plain Concepts
| Capability | FELD M | Plain Concepts |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: FELD M vs Plain Concepts
| Framework / platform | FELD M | Plain Concepts |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | N/A | N/A |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: FELD M vs Plain Concepts
| Criterion | FELD M | Plain Concepts |
|---|---|---|
| Minimum engagement | $25K | $35K |
| Engagement models | Retainer, Fixed project | Dedicated team, Fixed project, Retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: FELD M vs Plain Concepts
| Dimension | FELD M | Plain Concepts |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Media, Automotive | Enterprise, Retail, Healthcare |
| Best use cases | Data and AI strategy consulting for an enterprise client, Predictive analytics for retail or media audience data | Azure-native ML model deployment for an enterprise client, Mixed reality plus AI product development |
| Typical project type | Retainer | Dedicated team |
FELD M vs Plain Concepts: 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 |
| Plain Concepts | |
|---|---|
| + | Two decades of operating history since founding in 2006, with Microsoft Gold and AI Partner status |
| + | Multi-country office footprint across Spain, the UK, Germany, the Netherlands, Romania, and the US for broad coverage |
| + | Deep Azure-native ML and AI delivery credentials, useful for Microsoft-standardized enterprises |
| + | Recognized with Microsoft Partner of the Year award in 2016 |
| - | Azure-centric specialization may be less ideal for clients standardized on AWS or GCP |
| - | Broader technology consultancy scope, including mixed reality and IoT, means ML is one of several core practices |
| - | Larger enterprise-oriented engagement sizes, less accessible for very small startup budgets |
Who should choose FELD M?
A typical fit: data and AI strategy consulting for an enterprise client.
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 Plain Concepts?
A typical fit: azure-native ML model deployment for an enterprise client.
Deep Azure-native AI and ML delivery credentials as a Microsoft Gold and AI Partner, plus mixed reality expertise. Minimum engagement starts at $35K. Works best with clients in Enterprise, Retail, Healthcare, Financial Services.
Decision matrix: FELD M vs Plain Concepts
| 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 | Plain Concepts |
| 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 Plain Concepts
| Use case | FELD M fit | Plain Concepts fit | Winner |
|---|---|---|---|
| Data and AI strategy consulting for an enterprise client | Strong | Limited | FELD M |
| Predictive analytics for retail or media audience data | Strong | Strong | Both equally |
| Azure-native ML model deployment for an enterprise client | Limited | Strong | Plain Concepts |
| Mixed reality plus AI product development | Limited | Strong | Plain Concepts |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: FELD M vs Plain Concepts
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.
Plain Concepts (3.9/5) is worth a look if you need mixed reality plus AI product development. If your situation matches that, Plain Concepts is a competitive option.
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FELD M vs Plain Concepts FAQ
Is FELD M better than Plain Concepts?
FELD M (4.2/5) scores higher overall, but "better" depends on your use case. FELD M's strongest advantage: over two decades of operating history since founding in 2002, among the longest-running firms on this list. Plain Concepts's strongest advantage: two decades of operating history since founding in 2006, with Microsoft Gold and AI Partner status.
How do FELD M and Plain Concepts differ in pricing?
FELD M uses retainer, fixed project pricing with a minimum engagement of $25K. Plain Concepts uses dedicated team, fixed project, retainer pricing with a minimum engagement of $35K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: FELD M or Plain Concepts?
Plain Concepts 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 Plain Concepts?
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. Plain Concepts's primary differentiator is: deep Azure-native AI and ML delivery credentials as a Microsoft Gold and AI Partner, plus mixed reality expertise. They also differ in team size (51–200 vs 201–500), minimum engagement ($25K vs $35K), and primary industries served (Retail, Media vs Enterprise, Retail).