Neoteric vs Transparity: full comparison for 2026
Last updated: July 2026
Quick verdict
Neoteric (4.3/5) edges ahead of Transparity (3.7/5) overall. Neoteric is the better choice for mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product. 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.
Neoteric vs Transparity: head-to-head summary
| Criterion | Neoteric | Transparity |
|---|---|---|
| Founded | 2005 | 2015 |
| HQ | Gdansk, Poland | United Kingdom |
| Team size | 51–200 | 201–500 |
| Rating | 4.3 / 5 | 3.7 / 5 |
| Best for | Mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product | 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, OpenAI API, LangChain | Azure ML, Azure OpenAI Service, Power BI |
| Industries served | SaaS, Fintech, Healthcare, Enterprise | Insurance, Financial Services, Enterprise, Public Sector |
Neoteric vs Transparity: overview
Neoteric
Neoteric was founded in 2005 and is headquartered in Gdansk, Poland, with an additional office in New York. The midsize company specializes in generative AI, AI consulting, and custom software development, helping clients move from AI proof-of-concept to production deployment.
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: Neoteric vs Transparity
| Capability | Neoteric | Transparity |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✓ | ✗ |
| MLOps | ✗ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Neoteric vs Transparity
| Framework / platform | Neoteric | 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: Neoteric vs Transparity
| Criterion | Neoteric | 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: Neoteric vs Transparity
| Dimension | Neoteric | Transparity |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | Insurance, Financial Services, Enterprise |
| Best use cases | Taking a generative AI proof-of-concept to production, LLM integration into an existing SaaS product | Azure-native AI transformation for an insurance or financial services client, Microsoft Copilot deployment across enterprise workflows |
| Typical project type | Fixed project | Retainer |
Neoteric vs Transparity: pros and cons
| Neoteric | |
|---|---|
| + | Two decades of operating history since founding in 2005 as a Polish software consultancy |
| + | Dedicated generative AI practice, not a bolted-on service line |
| + | New York office provides closer coverage for US-based clients |
| + | Track record spanning both custom software delivery and AI-specific projects |
| - | Broader custom-software heritage means ML and AI is one of several practice areas |
| - | Mid-size team may have longer ramp time for highly specialized ML research work |
| 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 Neoteric?
Neoteric is the right choice for mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product.
Two-decade-old Polish software house with a dedicated generative AI practice and a US-facing New York office. Minimum engagement starts at $20K. Works best with clients in SaaS, Fintech, Healthcare, Enterprise.
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: Neoteric vs Transparity
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Neoteric |
| You need a large dedicated team for an ongoing programme | Neoteric |
| Your budget is at the lower end | Neoteric |
| You need specialist depth in a specific vertical | Neoteric |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Neoteric |
Use case fit: Neoteric vs Transparity
| Use case | Neoteric fit | Transparity fit | Winner |
|---|---|---|---|
| Taking a generative AI proof-of-concept to production | Strong | Limited | Neoteric |
| LLM integration into an existing SaaS product | Strong | Limited | Neoteric |
| 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: Neoteric vs Transparity
Neoteric (4.3/5) is the stronger overall choice for most Machine Learning Development projects. Two-decade-old Polish software house with a dedicated generative AI practice and a US-facing New York office. It is best for mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product.
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
Neoteric vs Transparity FAQ
Is Neoteric better than Transparity?
Neoteric (4.3/5) scores higher overall, but "better" depends on your use case. Neoteric is better for mid-market companies wanting to move a generative AI proof-of-concept into a production-grade product. Transparity is better for uK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner.
How do Neoteric and Transparity differ in pricing?
Neoteric 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: Neoteric 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 Neoteric and Transparity?
Neoteric's primary differentiator is: two-decade-old polish software house with a dedicated generative ai practice and a us-facing new york office. 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.