CodeLeap vs Transparity: full comparison for 2026
Last updated: July 2026
Quick verdict
CodeLeap (3.9/5) edges ahead of Transparity (3.7/5) overall. CodeLeap is the better choice for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development. 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.
CodeLeap vs Transparity: head-to-head summary
| Criterion | CodeLeap | Transparity |
|---|---|---|
| Founded | 2019 | 2015 |
| HQ | London, UK | United Kingdom |
| Team size | 11–50 | 201–500 |
| Rating | 3.9 / 5 | 3.7 / 5 |
| Best for | Early-stage and growth-stage startups wanting fast, founder-friendly AI feature development | 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 | $15K | $30K |
| Primary tech stack | Python, React, Node.js | Azure ML, Azure OpenAI Service, Power BI |
| Industries served | SaaS, E-commerce, Fintech | Insurance, Financial Services, Enterprise, Public Sector |
CodeLeap vs Transparity: overview
CodeLeap
CodeLeap, registered as Codeleap Ltd in England, was founded in 2019 and is headquartered in London, UK. The agency works closely with startups and growth-stage companies to build digital products with AI features, positioning itself around speed and a founder-friendly delivery model rather than large-scale enterprise engagement.
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: CodeLeap vs Transparity
| Capability | CodeLeap | Transparity |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✓ | ✗ |
| MLOps | ✗ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: CodeLeap vs Transparity
| Framework / platform | CodeLeap | Transparity |
|---|---|---|
| Python | ✓ | N/A |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | N/A |
| Azure | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: CodeLeap vs Transparity
| Criterion | CodeLeap | 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: CodeLeap vs Transparity
| Dimension | CodeLeap | Transparity |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, E-commerce, Fintech | Insurance, Financial Services, Enterprise |
| Best use cases | Adding an AI feature to an early-stage startup product, Fast MVP development with an embedded ML component | Azure-native AI transformation for an insurance or financial services client, Microsoft Copilot deployment across enterprise workflows |
| Typical project type | Fixed project | Retainer |
CodeLeap vs Transparity: pros and cons
| CodeLeap | |
|---|---|
| + | Legally registered in England with a London-based, client-facing team |
| + | Founder-friendly delivery model designed specifically around startup speed and iteration |
| + | Lower minimum engagement size than most enterprise-oriented firms on this list |
| + | Focused specifically on AI-featured digital product builds rather than broad enterprise IT |
| - | Founded in 2019, one of the newer and smaller firms on this list with a shorter track record |
| - | Small team size of 11 to 50 limits capacity for large, multi-workstream programmes |
| - | Less suited to heavily regulated enterprise ML programmes than larger specialist firms |
| 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 CodeLeap?
CodeLeap is the right choice for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development.
Founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines. Minimum engagement starts at $15K. Works best with clients in SaaS, E-commerce, Fintech.
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: CodeLeap vs Transparity
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | CodeLeap |
| You need a large dedicated team for an ongoing programme | CodeLeap |
| Your budget is at the lower end | CodeLeap |
| You need specialist depth in a specific vertical | Transparity |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | CodeLeap |
Use case fit: CodeLeap vs Transparity
| Use case | CodeLeap fit | Transparity fit | Winner |
|---|---|---|---|
| Adding an AI feature to an early-stage startup product | Strong | Limited | CodeLeap |
| Fast MVP development with an embedded ML component | Strong | Limited | CodeLeap |
| 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: CodeLeap vs Transparity
CodeLeap (3.9/5) is the stronger overall choice for most Machine Learning Development projects. Founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines. It is best for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development.
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
CodeLeap vs Transparity FAQ
Is CodeLeap better than Transparity?
CodeLeap (3.9/5) scores higher overall, but "better" depends on your use case. CodeLeap is better for early-stage and growth-stage startups wanting fast, founder-friendly AI feature development. Transparity is better for uK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner.
How do CodeLeap and Transparity differ in pricing?
CodeLeap uses fixed project, 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: CodeLeap 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 CodeLeap and Transparity?
CodeLeap's primary differentiator is: founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines. 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 (SaaS, E-commerce vs Insurance, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.