WeAreBrain vs Transparity: full comparison for 2026
Last updated: July 2026
Quick verdict
WeAreBrain (4.2/5) edges ahead of Transparity (3.7/5) overall. WeAreBrain is the better choice for companies wanting AI and machine learning delivered as part of a broader digital product build. 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.
WeAreBrain vs Transparity: head-to-head summary
| Criterion | WeAreBrain | Transparity |
|---|---|---|
| Founded | 2015 | 2015 |
| HQ | Amsterdam, Netherlands | United Kingdom |
| Team size | 51–200 | 201–500 |
| Rating | 4.2 / 5 | 3.7 / 5 |
| Best for | Companies wanting AI and machine learning delivered as part of a broader digital product build | 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 | $25K | $30K |
| Primary tech stack | Python, AWS, Azure | Azure ML, Azure OpenAI Service, Power BI |
| Industries served | SaaS, Fintech, Enterprise, Retail | Insurance, Financial Services, Enterprise, Public Sector |
WeAreBrain vs Transparity: overview
WeAreBrain
WeAreBrain is an Amsterdam, Netherlands-headquartered digital product and AI agency founded in 2015 by Mario Grunitz, Elvire Jaspers, and Ievgen Miasushkin. The roughly 60 to 70 person team specializes in digital transformation, AI and machine learning applications, and intelligent process automation. In 2017, WeAreBrain co-founded Tur.ai, an AI and hyperautomation platform with joint Amsterdam and Kyiv operations, reflecting the founders' Ukrainian engineering ties.
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: WeAreBrain vs Transparity
| Capability | WeAreBrain | Transparity |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✓ | ✓ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: WeAreBrain vs Transparity
| Framework / platform | WeAreBrain | Transparity |
|---|---|---|
| Python | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | N/A |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: WeAreBrain vs Transparity
| Criterion | WeAreBrain | Transparity |
|---|---|---|
| Minimum engagement | $25K | $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: WeAreBrain vs Transparity
| Dimension | WeAreBrain | Transparity |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Enterprise | Insurance, Financial Services, Enterprise |
| Best use cases | Building an AI-powered consumer-facing digital product, Intelligent process automation for back-office workflows | Azure-native AI transformation for an insurance or financial services client, Microsoft Copilot deployment across enterprise workflows |
| Typical project type | Fixed project | Retainer |
WeAreBrain vs Transparity: pros and cons
| WeAreBrain | |
|---|---|
| + | A decade of operating history since founding in 2015 as an Amsterdam-based digital product agency |
| + | Co-founded a dedicated AI and hyperautomation platform, Tur.ai, showing deeper AI investment beyond client services |
| + | Combines product design with ML and AI engineering, useful for consumer-facing AI products |
| + | EU-headquartered in the Netherlands, simplifying GDPR compliance for European clients |
| - | AI and ML is one of several practice areas alongside broader digital product work |
| - | Some delivery ties to Kyiv, Ukraine via the Tur.ai venture carry the same continuity considerations as other Ukraine-linked 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 WeAreBrain?
WeAreBrain is the right choice for companies wanting AI and machine learning delivered as part of a broader digital product build.
Digital product agency DNA combined with a dedicated AI, ML, and intelligent automation practice. Minimum engagement starts at $25K. Works best with clients in SaaS, Fintech, Enterprise, Retail.
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: WeAreBrain vs Transparity
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | WeAreBrain |
| You need a large dedicated team for an ongoing programme | WeAreBrain |
| Your budget is at the lower end | WeAreBrain |
| You need specialist depth in a specific vertical | WeAreBrain |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | WeAreBrain |
Use case fit: WeAreBrain vs Transparity
| Use case | WeAreBrain fit | Transparity fit | Winner |
|---|---|---|---|
| Building an AI-powered consumer-facing digital product | Strong | Limited | WeAreBrain |
| Intelligent process automation for back-office workflows | Strong | Limited | WeAreBrain |
| 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: WeAreBrain vs Transparity
WeAreBrain (4.2/5) is the stronger overall choice for most Machine Learning Development projects. Digital product agency DNA combined with a dedicated AI, ML, and intelligent automation practice. It is best for companies wanting AI and machine learning delivered as part of a broader digital product build.
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
WeAreBrain vs Transparity FAQ
Is WeAreBrain better than Transparity?
WeAreBrain (4.2/5) scores higher overall, but "better" depends on your use case. WeAreBrain is better for companies wanting AI and machine learning delivered as part of a broader digital product build. Transparity is better for uK enterprises fully standardized on Microsoft Azure wanting AI transformation through a certified Microsoft partner.
How do WeAreBrain and Transparity differ in pricing?
WeAreBrain uses fixed project, dedicated team pricing with a minimum engagement of $25K. 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: WeAreBrain 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 WeAreBrain and Transparity?
WeAreBrain's primary differentiator is: digital product agency dna combined with a dedicated ai, ml, and intelligent automation practice. 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 ($25K 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.