FELD M vs Transparity: full comparison for 2026
Last updated: July 2026
Quick verdict
FELD M (4.2/5) edges ahead of Transparity (3.7/5) overall. FELD M is the better choice for european enterprises wanting a long-established, multi-country data and AI consulting partner. Transparity is the stronger option for uK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner. The right choice depends on your project size, budget, and required tech stack.
FELD M vs Transparity: head-to-head summary
| Criterion | FELD M | Transparity |
|---|---|---|
| Founded | 2002 | 2015 |
| HQ | Munich, Germany | United Kingdom |
| Team size | 51–200 | 201–500 |
| Rating | 4.2 / 5 | 3.7 / 5 |
| Best for | European enterprises wanting a long-established, multi-country data and AI consulting partner | UK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner |
| Pricing model | Retainer, fixed project | Retainer, fixed project, dedicated team |
| Min. engagement | $25K | $30K |
| Primary tech stack | Python, Google Cloud, Azure | Azure ML, Azure OpenAI Service, Power BI |
| Industries served | Retail, Media, Automotive, Financial Services | Insurance, Financial Services, Enterprise, Public Sector |
FELD M vs Transparity: 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.
Transparity
Transparity, founded in 2015 by David Jobbins and Colin Macandrew, is a UK-headquartered Microsoft pureplay technology partner with around 289 employees. The company delivers AI and machine learning transformation primarily through Microsoft Azure and Copilot technologies via its proprietary AI Factory framework, as demonstrated in its Bordereaux Sync project built with Charles Taylor InsureTech.
Services and capabilities: FELD M vs Transparity
| Capability | FELD M | Transparity |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: FELD M vs Transparity
| Framework / platform | FELD M | Transparity |
|---|---|---|
| Python | ✓ | N/A |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | N/A | N/A |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: FELD M vs Transparity
| Criterion | FELD M | Transparity |
|---|---|---|
| Minimum engagement | $25K | $30K |
| Engagement models | Retainer, Fixed project | Retainer, Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: FELD M vs Transparity
| Dimension | FELD M | Transparity |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Media, Automotive | Insurance, Financial Services, Enterprise |
| Best use cases | Data and AI strategy consulting for an enterprise client, Predictive analytics for retail or media audience data | Azure-native AI transformation for an insurance or financial services client, Microsoft Copilot deployment across enterprise workflows |
| Typical project type | Retainer | Retainer |
FELD M vs Transparity: 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 |
| Transparity | |
|---|---|
| + | Deep Microsoft pureplay partnership status with a proprietary AI Factory delivery framework |
| + | Demonstrated production case study, Bordereaux Sync, built with Charles Taylor InsureTech |
| + | A decade of operating history since founding in 2015, with a growing UK enterprise client base |
| + | Strong fit for insurance and financial services clients needing Azure-based compliance |
| - | Azure-exclusive positioning is a poor fit for clients on AWS, GCP, or open-source ML stacks |
| - | AI and ML transformation is delivered through a broader Microsoft cloud consulting practice rather than as a standalone ML specialization |
| - | Smaller named public case study base than larger, longer-established firms on this list |
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 Transparity?
Transparity is the right choice for uK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner.
Proprietary AI Factory framework built specifically around Microsoft Azure and Copilot technologies. Minimum engagement starts at $30K. Works best with clients in Insurance, Financial Services, Enterprise, Public Sector.
Decision matrix: FELD M vs Transparity
| 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 | Transparity |
| 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 Transparity
| Use case | FELD M fit | Transparity 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 |
| Azure-native AI transformation for an insurance or financial services client | Limited | Strong | Transparity |
| Microsoft Copilot deployment across enterprise workflows | Limited | Strong | Transparity |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: FELD M vs Transparity
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.
Transparity (3.7/5) is the better choice when uK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner. If your situation matches those criteria, Transparity is a competitive option.
Related comparisons
FELD M vs Transparity FAQ
Is FELD M better than Transparity?
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. Transparity is better for uK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner.
How do FELD M and Transparity differ in pricing?
FELD M uses retainer, fixed project pricing with a minimum engagement of $25K. Transparity uses retainer, fixed project, dedicated team 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 Transparity?
Transparity 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 Transparity?
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. Transparity's primary differentiator is: proprietary ai factory framework built specifically around microsoft azure and copilot technologies. They also differ in team size (51–200 vs 201–500), minimum engagement ($25K vs $30K), and primary industries served (Retail, Media vs Insurance, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.