Nagarro vs Endava: full comparison for 2026
Last updated: August 2026
Quick verdict
Nagarro (4.1/5) edges ahead of Endava (4.0/5) overall. Nagarro is the better choice for german and EU enterprises wanting a publicly listed, Munich-headquartered engineering partner with a named agentic governance layer.. 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.
Nagarro vs Endava: head-to-head summary
| Criterion | Nagarro | Endava |
|---|---|---|
| Founded | 1996 | 2000 |
| HQ | Munich, Germany | London, UK |
| Team size | 18,500–22,600 | 10,000+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Best for | German and EU enterprises wanting a publicly listed, Munich-headquartered engineering partner with a named agentic governance layer. | UK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology. |
| Pricing model | Retainer, dedicated team, time & materials | 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, Technology & SaaS, Retail & E-commerce | Financial Services, Technology & SaaS, Retail & E-commerce, Healthcare |
Nagarro vs Endava: overview
Nagarro
Nagarro SE is headquartered in Munich, Germany, founded in 1996, and publicly listed with reported headcount ranging from roughly 18,500 to 22,600 employees depending on the source and date. It has an agentic AI governance layer added to its offering, formalized through a July 2026 partnership with DigitalAPI, giving it a named third-party integration specifically for agent governance. As a German SE (Societas Europaea) with public-company disclosure requirements, it offers procurement teams a European legal entity with financial transparency comparable to the larger French systems integrators on this list.
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: Nagarro vs Endava
| Capability | Nagarro | Endava |
|---|---|---|
| Multi-agent orchestration | ✓ | ✓ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✓ |
| Monitoring & anomaly detection | ✓ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Nagarro vs Endava
| Framework / platform | Nagarro | 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 |
Pricing comparison: Nagarro vs Endava
| Criterion | Nagarro | Endava |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Retainer, Dedicated team, Time & materials | Dedicated team, Retainer, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Nagarro vs Endava
| Dimension | Nagarro | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Manufacturing, Financial Services, Technology & SaaS | Financial Services, Technology & SaaS, Retail & E-commerce |
| Best use cases | German enterprises wanting a publicly listed, domestically headquartered engineering partner, Buyers specifically needing a named agentic AI governance layer, not just orchestration | 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 | Retainer | Dedicated team |
Nagarro vs Endava: pros and cons
| Nagarro | |
|---|---|
| + | German-headquartered (Munich), publicly listed (Nagarro SE) entity with public financial disclosure |
| + | Named third-party partnership (DigitalAPI, July 2026) specifically for agentic AI governance |
| + | 18,500+ employees gives substantial bench depth for large European enterprise programs |
| + | Three decades of engineering delivery history since 1996 |
| - | Reported headcount varies notably by source and date (roughly 18,500 to 22,600) |
| - | Agentic governance layer was added relatively recently (formalized mid-2026) |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| 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 Nagarro?
Nagarro is the right choice for german and EU enterprises wanting a publicly listed, Munich-headquartered engineering partner with a named agentic governance layer..
A German-headquartered, publicly listed (Nagarro SE) engineering firm with a named agentic AI governance partnership (DigitalAPI, July 2026).. Minimum engagement starts at Not published. Works best with clients in Manufacturing, Financial Services, Technology & SaaS, Retail & E-commerce.
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: Nagarro vs Endava
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Nagarro |
| Your budget is at the lower end | Compare: Nagarro (Not published) vs Endava (Not published) |
| You need specialist depth in a specific vertical | Nagarro |
| 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: Nagarro vs Endava
| Use case | Nagarro fit | Endava fit | Winner |
|---|---|---|---|
| German enterprises wanting a publicly listed, domestically headquartered engineering partner | Strong | Limited | Nagarro |
| Buyers specifically needing a named agentic AI governance layer, not just orchestration | Strong | Strong | Both equally |
| 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: Nagarro vs Endava
Nagarro (4.1/5) is the stronger overall choice for most AI Agent Development projects. A German-headquartered, publicly listed (Nagarro SE) engineering firm with a named agentic AI governance partnership (DigitalAPI, July 2026).. It is best for german and EU enterprises wanting a publicly listed, Munich-headquartered engineering partner with a named agentic governance layer..
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
Nagarro vs Endava FAQ
Is Nagarro better than Endava?
Nagarro (4.1/5) scores higher overall, but "better" depends on your use case. Nagarro is better for german and EU enterprises wanting a publicly listed, Munich-headquartered engineering partner with a named agentic governance layer.. 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 Nagarro and Endava differ in pricing?
Nagarro uses retainer, dedicated team, time & materials 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: Nagarro or Endava?
Nagarro 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 Nagarro and Endava?
Nagarro's primary differentiator is: a german-headquartered, publicly listed (nagarro se) engineering firm with a named agentic ai governance partnership (digitalapi, july 2026).. 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 (18,500–22,600 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.