Transparity
UK-based Microsoft pureplay partner delivering AI transformation through its AI Factory framework.
Founded 2015 | United Kingdom | 201–500 employees | Last updated: July 2026
ai-consultingmlopsdata-engineeringml-development
What is 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.
Transparity was founded in 2015 and is headquartered in United Kingdom. The firm employs 201–500 people and works primarily with clients in Insurance, Financial Services, Enterprise, Public Sector sectors. Its primary differentiator is: Proprietary AI Factory framework built specifically around Microsoft Azure and Copilot technologies.
Transparity tech stack and services
Azure MLAzure OpenAI ServicePower BIMicrosoft Copilot.NET
| Service area | Details |
|---|---|
| Azure-native AI transformation for an insurance or financial services client | Available for Insurance, Financial Services, Enterprise, Public Sector clients |
| Microsoft Copilot deployment across enterprise workflows | Available for Insurance, Financial Services, Enterprise, Public Sector clients |
| Bordereaux or regulatory data processing automation | Available for Insurance, Financial Services, Enterprise, Public Sector clients |
| UK public sector AI modernization on Microsoft infrastructure | Available for Insurance, Financial Services, Enterprise, Public Sector clients |
Transparity use cases
Short answer: Transparity is best suited for uK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner.
| Use case | Industries | Approach |
|---|---|---|
| Azure-native AI transformation for an insurance or financial services client | Insurance, Financial Services | Azure ML, Azure OpenAI Service |
| Microsoft Copilot deployment across enterprise workflows | Insurance, Financial Services | Azure ML, Azure OpenAI Service |
| Bordereaux or regulatory data processing automation | Insurance, Financial Services | Azure ML, Azure OpenAI Service |
| UK public sector AI modernization on Microsoft infrastructure | Insurance, Financial Services | Azure ML, Azure OpenAI Service |
Transparity pricing
Short answer: Transparity uses a retainer, fixed project, dedicated team pricing approach. Minimum engagement starts at $30K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Retainer | Monthly rate; not public | Ongoing AI engineering |
| Fixed project | From $30K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
Transparity does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Transparity pros and cons
| Advantages | Things to consider |
|---|---|
| +Deep Microsoft pureplay partnership status with a proprietary AI Factory delivery framework | -Azure-exclusive positioning is a poor fit for clients on AWS, GCP, or open-source ML stacks |
| +Demonstrated production case study, Bordereaux Sync, built with Charles Taylor InsureTech | -AI and ML transformation is delivered through a broader Microsoft cloud consulting practice rather than as a standalone ML specialization |
| +A decade of operating history since founding in 2015, with a growing UK enterprise client base | -Smaller named public case study base than larger, longer-established firms on this list |
| +Strong fit for insurance and financial services clients needing Azure-based compliance |
Transparity vs alternatives
How Transparity compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Startups and mid-market companies needing a dedicated, senior... | Full-stack ML delivery team (data science, MLOps, QA) inherited from a 25-year-old parent company, at boutique-agency pricing | 4.9 | Full comparison |
| ML6 | Enterprises needing production MLOps infrastructure and multi-cloud AI... | Official OpenAI Services Partner status combined with over a decade of pure-play ML engineering focus | 4.7 | Full comparison |
| Alexander Thamm | German and DACH-region manufacturers and industrial firms needing... | Deep specialization in industrial and automotive ML use cases across the German Mittelstand | 4.6 | Full comparison |
| Kineo.ai | Mid-market European businesses wanting a lean, senior AI... | All-Germany team of AI consultants focused specifically on operational-efficiency ML use cases | 4.6 | Full comparison |
| DataRoot Labs | Startups and SMBs needing a lean, senior custom... | Founder-led, unfunded boutique with nearly a decade of focused custom ML delivery experience | 4.5 | Full comparison |
| Twistag | Growth-stage and enterprise brands needing senior-engineer-only AI agent... | Senior-only engineering team with a client roster including well-known global brands | 4.5 | Full comparison |
| Preste | European companies needing custom computer vision or NLP... | Dual Paris and Kyiv structure pairing French market presence with dedicated computer vision and NLP engineering delivery | 4.4 | Full comparison |
| STX Next | Companies needing ML development paired with deep, large-scale... | One of Europe's largest dedicated Python engineering companies, with ML and data practices built on that scale | 4.3 | Full comparison |
| Neoteric | Mid-market companies wanting to move a generative AI... | Two-decade-old Polish software house with a dedicated generative AI practice and a US-facing New York office | 4.3 | Full comparison |
| Tooploox | Companies with genuinely hard ML and AI research-engineering... | Research-grade ML engineering with peer-reviewed academic recognition at ECCV 2024, alongside client delivery | 4.3 | Full comparison |
| Opinov8 | Enterprises and startups wanting AI embedded across a... | AI treated as a foundational layer across the entire engineering lifecycle, not a bolt-on service | 4.2 | Full comparison |
| FELD M | European enterprises wanting a long-established, multi-country data and... | Over two decades of operating history since founding in 2002, with organic growth into a five-office pan-European practice | 4.2 | Full comparison |
| WeAreBrain | Companies wanting AI and machine learning delivered as... | Digital product agency DNA combined with a dedicated AI, ML, and intelligent automation practice | 4.2 | Full comparison |
| DATAFOREST | Small and mid-market businesses needing data engineering plus... | Combined data engineering (ETL) and ML analytics practice with a growing review base | 4.1 | Full comparison |
| Probayes | Automotive, defense, and finance clients needing rigorous Bayesian... | Over two decades of specialization in Bayesian AI and predictive analytics, predating the current ML and AI boom | 4.1 | Full comparison |
| Digica | Regulated-industry clients such as automotive, defence, and medical... | Combines ML model development with embedded systems and IoT engineering for regulated hardware-adjacent industries | 4.1 | Full comparison |
| Imaginary Cloud | Companies wanting ML capabilities delivered alongside strong product... | Design-led software development studio with AI positioned as a first-class capability, not an afterthought | 4.0 | Full comparison |
| N-iX | Enterprises needing ML development bundled with large-scale custom... | Over two decades of engineering scale, over 1,000 staff, with an EU-registered legal entity in Malta | 4.0 | Full comparison |
| Gemmo | Companies wanting a structured, staged AI engagement, from... | Structured three-phase engagement model of Pathfinder, Implementation, and Optimization, rather than an open-ended consulting retainer | 4.0 | Full comparison |
| Plain Concepts | Enterprises standardized on Microsoft Azure wanting a certified... | Deep Azure-native AI and ML delivery credentials as a Microsoft Gold and AI Partner, plus mixed reality expertise | 3.9 | Full comparison |
| Edvantis | Enterprises wanting an EU-registered vendor with large-scale nearshore... | EU legal registration in Poland combined with substantial delivery scale across Ukraine and Germany | 3.9 | Full comparison |
| CodeLeap | Early-stage and growth-stage startups wanting fast, founder-friendly AI... | Founder-friendly, speed-oriented delivery model built specifically for startup-stage product timelines | 3.9 | Full comparison |
| High-Tech Systems & Software | Healthcare organizations needing AI and ML development bundled... | Deep healthcare-sector software specialization in supply chain and telemedicine, with AI and ML layered on top | 3.8 | Full comparison |
| DEPT | Large enterprise brands needing ML-driven marketing personalization at... | Proprietary AI marketing platform, Ada, and global scale of over 4,000 specialists across 30-plus offices, unmatched by any other firm on this list | 4.0 | Full comparison |
| Software Mind | Enterprises needing ML development bundled with large-scale, multi-region... | Over 25 years of operating history and enterprise-scale delivery capacity across three continents | 3.8 | Full comparison |
| Innowise | Enterprises needing large-scale, low-cost nearshore staff augmentation with... | Very large delivery scale and broad geographic reach, positioned for volume staff augmentation over specialist ML depth | 3.8 | Full comparison |
| BJSS | UK public sector and regulated-industry clients needing enterprise-grade... | Over three decades of operating history and deep specialization in regulated, complex enterprise environments | 3.8 | Full comparison |
| Siili Solutions | Nordic and European enterprises wanting a publicly listed,... | Publicly traded on Nasdaq Helsinki, offering financial transparency uncommon among privately held ML firms | 3.7 | Full comparison |
| SDG Group | Large enterprises wanting ML-driven analytics embedded within a... | Three decades of management consulting heritage applied to enterprise-scale analytics and AI programmes | 3.7 | Full comparison |
Transparity FAQ
What is 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.
How much does Transparity charge?
Transparity uses retainer, fixed project, dedicated team pricing. Minimum engagement starts at $30K. A discovery call is required to get project-specific quotes.
What tech stack does Transparity use?
Transparity works with Azure ML, Azure OpenAI Service, Power BI, Microsoft Copilot, .NET. Primary industries served include Insurance, Financial Services, Enterprise, Public Sector.
Is Transparity right for enterprise?
UK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner. 201–500 team size. Key consideration: Azure-exclusive positioning is a poor fit for clients on AWS, GCP, or open-source ML stacks.
What are the best Transparity alternatives?
The best alternatives to Transparity depend on your use case. Top options are:
- Tensorway: full-stack ml delivery team (data science, mlops, qa) inherited from a 25-year-old parent company, at boutique-agency pricing
- ML6: official openai services partner status combined with over a decade of pure-play ml engineering focus
- Alexander Thamm: deep specialization in industrial and automotive ml use cases across the german mittelstand
Compare Transparity with other Machine Learning Development companies
Transparity vs Tensorway Transparity vs ML6 Transparity vs Alexander Thamm Transparity vs Kineo.ai Transparity vs DataRoot Labs Transparity vs Twistag Transparity vs Preste Transparity vs STX Next Transparity vs Neoteric Transparity vs Tooploox Transparity vs Opinov8 Transparity vs FELD M Transparity vs WeAreBrain Transparity vs DATAFOREST Transparity vs Probayes Transparity vs Digica Transparity vs Imaginary Cloud Transparity vs N-iX Transparity vs Gemmo Transparity vs Plain Concepts Transparity vs Edvantis Transparity vs CodeLeap Transparity vs High-Tech Systems & Software Transparity vs DEPT Transparity vs Software Mind Transparity vs Innowise Transparity vs BJSS Transparity vs Siili Solutions Transparity vs SDG Group
Last reviewed: July 2026. Verify all details directly with Transparity before making a decision.