Imaginary Cloud vs Transparity: full comparison for 2026
Last updated: July 2026
Quick verdict
Imaginary Cloud (4.0/5) edges ahead of Transparity (3.7/5) overall. Imaginary Cloud is the better choice for companies wanting ML capabilities delivered alongside strong product design and UX engineering. 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.
Imaginary Cloud vs Transparity: head-to-head summary
| Criterion | Imaginary Cloud | Transparity |
|---|---|---|
| Founded | 2010 | 2015 |
| HQ | Lisbon, Portugal | United Kingdom |
| Team size | 51–200 | 201–500 |
| Rating | 4.0 / 5 | 3.7 / 5 |
| Best for | Companies wanting ML capabilities delivered alongside strong product design and UX engineering | UK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner |
| Pricing model | Fixed project, dedicated team | Retainer, fixed project, dedicated team |
| Min. engagement | $20K | $30K |
| Primary tech stack | Python, React, Node.js | Azure ML, Azure OpenAI Service, Power BI |
| Industries served | SaaS, Fintech, Healthcare, E-commerce | Insurance, Financial Services, Enterprise, Public Sector |
Imaginary Cloud vs Transparity: overview
Imaginary Cloud
Imaginary Cloud, founded in 2010 and headquartered in Lisbon, Portugal, is an AI-first software development company with roughly 77 employees. The firm combines design, engineering, and AI to deliver custom software and machine learning-enabled products, positioning itself around what it calls seamless digital acceleration, per company website.
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: Imaginary Cloud vs Transparity
| Capability | Imaginary Cloud | Transparity |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Imaginary Cloud vs Transparity
| Framework / platform | Imaginary Cloud | Transparity |
|---|---|---|
| Python | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | N/A |
| Azure | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Imaginary Cloud vs Transparity
| Criterion | Imaginary Cloud | Transparity |
|---|---|---|
| Minimum engagement | $20K | $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: Imaginary Cloud vs Transparity
| Dimension | Imaginary Cloud | Transparity |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | Insurance, Financial Services, Enterprise |
| Best use cases | AI-enabled consumer product design and development, Custom software with embedded ML recommendation features | Azure-native AI transformation for an insurance or financial services client, Microsoft Copilot deployment across enterprise workflows |
| Typical project type | Fixed project | Retainer |
Imaginary Cloud vs Transparity: pros and cons
| Imaginary Cloud | |
|---|---|
| + | 15 years of operating history since founding in 2010 as a Lisbon-based software studio |
| + | Strong design and UX engineering complements ML and AI delivery for consumer-facing products |
| + | EU-headquartered in Portugal, useful for European data-residency requirements |
| + | Positions AI as a first-class design consideration, not a bolted-on backend feature |
| - | Broader software and design studio heritage means ML depth is narrower than pure-play ML specialists |
| - | Smaller team of around 77 relative to larger regional generalists on this list |
| 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 Imaginary Cloud?
Imaginary Cloud is the right choice for companies wanting ML capabilities delivered alongside strong product design and UX engineering.
Design-led software development studio with AI positioned as a first-class capability, not an afterthought. Minimum engagement starts at $20K. Works best with clients in SaaS, Fintech, Healthcare, E-commerce.
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: Imaginary Cloud vs Transparity
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Imaginary Cloud |
| You need a large dedicated team for an ongoing programme | Imaginary Cloud |
| Your budget is at the lower end | Imaginary Cloud |
| You need specialist depth in a specific vertical | Imaginary Cloud |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Imaginary Cloud |
Use case fit: Imaginary Cloud vs Transparity
| Use case | Imaginary Cloud fit | Transparity fit | Winner |
|---|---|---|---|
| AI-enabled consumer product design and development | Strong | Limited | Imaginary Cloud |
| Custom software with embedded ML recommendation features | Strong | Limited | Imaginary Cloud |
| 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: Imaginary Cloud vs Transparity
Imaginary Cloud (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Design-led software development studio with AI positioned as a first-class capability, not an afterthought. It is best for companies wanting ML capabilities delivered alongside strong product design and UX engineering.
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
Imaginary Cloud vs Transparity FAQ
Is Imaginary Cloud better than Transparity?
Imaginary Cloud (4.0/5) scores higher overall, but "better" depends on your use case. Imaginary Cloud is better for companies wanting ML capabilities delivered alongside strong product design and UX engineering. Transparity is better for uK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner.
How do Imaginary Cloud and Transparity differ in pricing?
Imaginary Cloud uses fixed project, dedicated team pricing with a minimum engagement of $20K. 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: Imaginary Cloud 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 Imaginary Cloud and Transparity?
Imaginary Cloud's primary differentiator is: design-led software development studio with ai positioned as a first-class capability, not an afterthought. 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 ($20K vs $30K), and primary industries served (SaaS, Fintech vs Insurance, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.