Xomnia vs Endava: full comparison for 2026
Last updated: August 2026
Quick verdict
Xomnia (4.3/5) edges ahead of Endava (4.0/5) overall. Xomnia is the better choice for northwest European enterprises wanting a data-and-AI consultancy with a recent acquisition-driven scale-up in specialist headcount.. Endava is the stronger option for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology.. The right choice depends on your project size, budget, and required tech stack.
Xomnia vs Endava: head-to-head summary
| Criterion | Xomnia | Endava |
|---|---|---|
| Founded | 2013 | 2000 |
| HQ | Amsterdam, Netherlands | London, UK |
| Team size | 51–200 | 10,000+ |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Best for | Northwest European enterprises wanting a data-and-AI consultancy with a recent acquisition-driven scale-up in specialist headcount. | UK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology. |
| Pricing model | Fixed project, dedicated team | Dedicated team, retainer, time & materials |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, LangChain, AWS | Python, OpenAI, LangChain |
| Industries served | Manufacturing, Financial Services, Government & Public Sector, Technology & SaaS | Financial Services, Technology & SaaS, Retail & E-commerce, Healthcare |
Xomnia vs Endava: overview
Xomnia
Xomnia is a data and AI consultancy founded in 2013 and headquartered in Amsterdam, the Netherlands, with roughly 85 employees before its June 2025 acquisition of Aurai (a 50-person data and AI team founded by Lars Kieftenburg), bringing its combined headcount to 135+ specialists. It serves manufacturing, finance, telecommunications, energy, and government clients across Northwest Europe, positioning itself explicitly as the region's leading data and AI consultancy. As a Dutch company, all client engagements sit fully within EU jurisdiction and GDPR by default.
Endava
Endava was founded in 2000 and is headquartered in London, UK, with over 10,000 employees across 26 locations. It has embedded OpenAI's AI agents directly into its own software delivery workflow, branded as DavaFlow, making it one of the few firms on this list that has publicly documented using agentic AI to redesign its own internal delivery process, not just sell it to clients. As a UK-headquartered, NYSE-listed company, it offers public financial disclosure but sits outside EU jurisdiction post-Brexit for its own corporate entity.
Services and capabilities: Xomnia vs Endava
| Capability | Xomnia | Endava |
|---|---|---|
| Multi-agent orchestration | ✗ | ✓ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✓ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Xomnia vs Endava
| Framework / platform | Xomnia | Endava |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | ✓ |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Xomnia vs Endava
| Criterion | Xomnia | Endava |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team | Dedicated team, Retainer, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Xomnia vs Endava
| Dimension | Xomnia | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Manufacturing, Financial Services, Government & Public Sector | Financial Services, Technology & SaaS, Retail & E-commerce |
| Best use cases | Government or energy-sector clients needing a Northwest-Europe-based AI consultancy, Manufacturing or telecom enterprises wanting data pipeline work bundled with agentic AI | Buyers wanting proof a vendor applies agentic AI to its own delivery process before selling it externally, UK and European enterprises needing large-scale dedicated-team engagements |
| Typical project type | Fixed project | Dedicated team |
Xomnia vs Endava: pros and cons
| Xomnia | |
|---|---|
| + | Fully EU-domiciled (Netherlands), with all engagements sitting inside GDPR jurisdiction by default |
| + | 135+ specialists post-acquisition gives it meaningful bench depth for a boutique-scale firm |
| + | Named delivery experience across manufacturing, finance, telecom, energy, and government |
| + | Over a decade of data and AI consultancy history since 2013 |
| - | Recent acquisition (2025) means combined-team integration is still relatively new |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| - | Agentic AI is one part of a broader data-and-AI consultancy practice, not the sole focus |
| Endava | |
|---|---|
| + | Publicly documented use of OpenAI's agentic AI in its own internal delivery methodology (DavaFlow) |
| + | NYSE-listed with public financial disclosure |
| + | 10,000+ employees across 26 locations gives substantial bench depth |
| + | Quarter-century of digital consultancy history since 2000 |
| - | UK-headquartered, so post-Brexit it sits outside EU jurisdiction for its own corporate entity |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| - | 26-location scale can mean less senior-architect access than boutique competitors |
Who should choose Xomnia?
Xomnia is the right choice for northwest European enterprises wanting a data-and-AI consultancy with a recent acquisition-driven scale-up in specialist headcount..
A 2025 acquisition (Aurai) grew its specialist headcount to 135+, positioning it as Northwest Europe's leading data and AI consultancy.. Minimum engagement starts at Not published. Works best with clients in Manufacturing, Financial Services, Government & Public Sector, Technology & SaaS.
Who should choose Endava?
Endava is the right choice for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology..
A named, OpenAI-powered internal delivery methodology (DavaFlow) — evidence the firm applies agentic AI to its own software delivery, not just client work.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Technology & SaaS, Retail & E-commerce, Healthcare.
Decision matrix: Xomnia vs Endava
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Xomnia |
| You need a large dedicated team for an ongoing programme | Xomnia |
| Your budget is at the lower end | Compare: Xomnia (Not published) vs Endava (Not published) |
| You need specialist depth in a specific vertical | Xomnia |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Xomnia vs Endava
| Use case | Xomnia fit | Endava fit | Winner |
|---|---|---|---|
| Government or energy-sector clients needing a Northwest-Europe-based AI consultancy | Strong | Limited | Xomnia |
| Manufacturing or telecom enterprises wanting data pipeline work bundled with agentic AI | Strong | Limited | Xomnia |
| Buyers wanting proof a vendor applies agentic AI to its own delivery process before selling it externally | Strong | Strong | Both equally |
| UK and European enterprises needing large-scale dedicated-team engagements | Limited | Strong | Endava |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Xomnia vs Endava
Xomnia (4.3/5) is the stronger overall choice for most AI Agent Development projects. A 2025 acquisition (Aurai) grew its specialist headcount to 135+, positioning it as Northwest Europe's leading data and AI consultancy.. It is best for northwest European enterprises wanting a data-and-AI consultancy with a recent acquisition-driven scale-up in specialist headcount..
Endava (4.0/5) is the better choice when uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology.. If your situation matches those criteria, Endava is a competitive option.
Related comparisons
Xomnia vs Endava FAQ
Is Xomnia better than Endava?
Xomnia (4.3/5) scores higher overall, but "better" depends on your use case. Xomnia is better for northwest European enterprises wanting a data-and-AI consultancy with a recent acquisition-driven scale-up in specialist headcount.. Endava is better for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology..
How do Xomnia and Endava differ in pricing?
Xomnia uses fixed project, dedicated team pricing with a minimum engagement of Not published. Endava uses dedicated team, retainer, time & materials pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Xomnia or Endava?
Xomnia 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 Xomnia and Endava?
Xomnia's primary differentiator is: a 2025 acquisition (aurai) grew its specialist headcount to 135+, positioning it as northwest europe's leading data and ai consultancy.. Endava's primary differentiator is: a named, openai-powered internal delivery methodology (davaflow) — evidence the firm applies agentic ai to its own software delivery, not just client work.. They also differ in team size (51–200 vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Manufacturing, Financial Services vs Financial Services, Technology & SaaS).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.