Gemmo vs Transparity: full comparison for 2026
Last updated: July 2026
Quick verdict
Gemmo (4.0/5) edges ahead of Transparity (3.7/5) overall. Gemmo is the better choice for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization. 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.
Gemmo vs Transparity: head-to-head summary
| Criterion | Gemmo | Transparity |
|---|---|---|
| Founded | 2014 | 2015 |
| HQ | Dublin, Ireland (AI Lab in Milan, Italy) | United Kingdom |
| Team size | 11–50 | 201–500 |
| Rating | 4.0 / 5 | 3.7 / 5 |
| Best for | Companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization | UK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner |
| Pricing model | Fixed-price discovery engagement, dedicated team | Retainer, fixed project, dedicated team |
| Min. engagement | $15K | $30K |
| Primary tech stack | Python, Scikit-learn, AWS | Azure ML, Azure OpenAI Service, Power BI |
| Industries served | Sustainability, Manufacturing, Enterprise, Public Sector | Insurance, Financial Services, Enterprise, Public Sector |
Gemmo vs Transparity: overview
Gemmo
Gemmo AI, founded in 2014 by Dr Luca Marchesotti and headquartered in Dublin, Ireland, is a boutique AI firm with an additional AI Lab in Milan, Italy. Gemmo blends strategic AI consulting with hands-on technical implementation through a structured engagement model: AI Pathfinder for opportunity discovery, followed by AI Implementation and AI Optimization phases. The firm won Best Application of AI in Sustainability at the 2023 AI Awards for a noise-source-identification API, per company website; independently unverifiable.
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: Gemmo vs Transparity
| Capability | Gemmo | Transparity |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Gemmo vs Transparity
| Framework / platform | Gemmo | Transparity |
|---|---|---|
| Python | ✓ | N/A |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | N/A |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Gemmo vs Transparity
| Criterion | Gemmo | Transparity |
|---|---|---|
| Minimum engagement | $15K | $30K |
| Engagement models | Fixed project, Dedicated team | Retainer, Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Gemmo vs Transparity
| Dimension | Gemmo | Transparity |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Sustainability, Manufacturing, Enterprise | Insurance, Financial Services, Enterprise |
| Best use cases | Structured AI opportunity discovery for a company new to AI adoption, Sustainability-focused AI applications such as noise or environmental monitoring | Azure-native AI transformation for an insurance or financial services client, Microsoft Copilot deployment across enterprise workflows |
| Typical project type | Fixed project | Retainer |
Gemmo vs Transparity: pros and cons
| Gemmo | |
|---|---|
| + | Structured, staged engagement model reduces risk of open-ended AI consulting scope creep |
| + | Dual Dublin and Milan presence gives coverage across two distinct European markets |
| + | Award recognition for a real-world sustainability application at the 2023 AI Awards, per company website |
| + | Founder-led boutique structure keeps senior AI expertise close to client engagements |
| - | Small team size of 11 to 50 limits capacity for large, multi-workstream enterprise programmes |
| - | Founded in 2014 with a public track record still smaller than more established European AI consultancies |
| - | Award and case-study claims are self-reported and not independently verifiable |
| 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 Gemmo?
Gemmo is the right choice for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization.
Structured three-phase engagement model of Pathfinder, Implementation, and Optimization, rather than an open-ended consulting retainer. Minimum engagement starts at $15K. Works best with clients in Sustainability, Manufacturing, Enterprise, Public Sector.
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: Gemmo vs Transparity
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Gemmo |
| You need a large dedicated team for an ongoing programme | Gemmo |
| Your budget is at the lower end | Gemmo |
| You need specialist depth in a specific vertical | Gemmo |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Gemmo |
Use case fit: Gemmo vs Transparity
| Use case | Gemmo fit | Transparity fit | Winner |
|---|---|---|---|
| Structured AI opportunity discovery for a company new to AI adoption | Strong | Limited | Gemmo |
| Sustainability-focused AI applications such as noise or environmental monitoring | Strong | Limited | Gemmo |
| 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: Gemmo vs Transparity
Gemmo (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Structured three-phase engagement model of Pathfinder, Implementation, and Optimization, rather than an open-ended consulting retainer. It is best for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization.
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
Gemmo vs Transparity FAQ
Is Gemmo better than Transparity?
Gemmo (4.0/5) scores higher overall, but "better" depends on your use case. Gemmo is better for companies wanting a structured, staged AI engagement, from opportunity discovery through implementation and optimization. Transparity is better for uK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner.
How do Gemmo and Transparity differ in pricing?
Gemmo uses fixed-price discovery engagement, dedicated team pricing with a minimum engagement of $15K. 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: Gemmo 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 Gemmo and Transparity?
Gemmo's primary differentiator is: structured three-phase engagement model of pathfinder, implementation, and optimization, rather than an open-ended consulting retainer. Transparity's primary differentiator is: proprietary ai factory framework built specifically around microsoft azure and copilot technologies. They also differ in team size (11–50 vs 201–500), minimum engagement ($15K vs $30K), and primary industries served (Sustainability, Manufacturing vs Insurance, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.