Capgemini vs Endava: full comparison for 2026
Last updated: August 2026
Quick verdict
Capgemini (4.1/5) edges ahead of Endava (4.0/5) overall. Capgemini is the better choice for large European enterprises wanting agentic AI from a European-headquartered global systems integrator with a named platform.. 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.
Capgemini vs Endava: head-to-head summary
| Criterion | Capgemini | Endava |
|---|---|---|
| Founded | 1967 | 2000 |
| HQ | Paris, France | London, UK |
| Team size | 400,000+ | 10,000+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Best for | Large European enterprises wanting agentic AI from a European-headquartered global systems integrator with a named platform. | 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 (typically six- to seven-figure enterprise programs) | Not published |
| Primary tech stack | Python, OpenAI, Azure AI | Python, OpenAI, LangChain |
| Industries served | Financial Services, Manufacturing, Healthcare, Government & Public Sector, Technology & SaaS | Financial Services, Technology & SaaS, Retail & E-commerce, Healthcare |
Capgemini vs Endava: overview
Capgemini
Capgemini was founded by Serge Kampf in Paris, France on October 1, 1967, and now employs approximately 423,400 people worldwide, making it one of the largest European-headquartered professional services firms in the world. Its RAISE™ (Reliable AI Solution Engineering) platform is a modular accelerator for building, integrating, and operating agentic AI at scale with multi-cloud integration and full lifecycle management. As a French SE (Societas Europaea), its EU headquarters gives buyers a European legal entity for contracting, even though its global delivery network spans far beyond Europe.
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: Capgemini vs Endava
| Capability | Capgemini | Endava |
|---|---|---|
| Multi-agent orchestration | ✓ | ✓ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✓ |
| Monitoring & anomaly detection | ✓ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Capgemini vs Endava
| Framework / platform | Capgemini | Endava |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | ✓ |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: Capgemini vs Endava
| Criterion | Capgemini | Endava |
|---|---|---|
| Minimum engagement | Not published (typically six- to seven-figure enterprise programs) | 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: Capgemini vs Endava
| Dimension | Capgemini | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Financial Services, Manufacturing, Healthcare | Financial Services, Technology & SaaS, Retail & E-commerce |
| Best use cases | Large European enterprises wanting agentic AI from a French-headquartered global systems integrator, Vendor-consolidation programs wanting a named platform (RAISE) plus implementation under one contract | 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 |
Capgemini vs Endava: pros and cons
| Capgemini | |
|---|---|
| + | Paris-headquartered European legal entity (Societas Europaea) simplifies EU contracting |
| + | Named, productized agentic AI platform (RAISE) with full lifecycle management, not just consulting |
| + | ~423,400 employees globally gives unmatched bench depth for large multi-country programs |
| + | Nearly six decades of operating history (founded 1967) with public-company financial transparency |
| - | Delivery network extends far beyond Europe, so specific project staffing location needs separate confirmation |
| - | Standard enterprise contracting and procurement cycles run considerably longer than a boutique vendor's |
| - | Buyers get a broad consulting team rather than the named-architect continuity smaller firms offer |
| 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 Capgemini?
Capgemini is the right choice for large European enterprises wanting agentic AI from a European-headquartered global systems integrator with a named platform..
Europe's largest IT services company by headquarters, with a named modular agentic AI platform (RAISE) offering full lifecycle management.. Minimum engagement starts at Not published (typically six- to seven-figure enterprise programs). Works best with clients in Financial Services, Manufacturing, Healthcare, 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: Capgemini 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 | Capgemini |
| Your budget is at the lower end | Compare: Capgemini (Not published (typically six- to seven-figure enterprise programs)) vs Endava (Not published) |
| You need specialist depth in a specific vertical | Capgemini |
| 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: Capgemini vs Endava
| Use case | Capgemini fit | Endava fit | Winner |
|---|---|---|---|
| Large European enterprises wanting agentic AI from a French-headquartered global systems integrator | Strong | Strong | Both equally |
| Vendor-consolidation programs wanting a named platform (RAISE) plus implementation under one contract | Strong | Limited | Capgemini |
| Buyers wanting proof a vendor applies agentic AI to its own delivery process before selling it externally | Limited | Strong | Endava |
| 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: Capgemini vs Endava
Capgemini (4.1/5) is the stronger overall choice for most AI Agent Development projects. Europe's largest IT services company by headquarters, with a named modular agentic AI platform (RAISE) offering full lifecycle management.. It is best for large European enterprises wanting agentic AI from a European-headquartered global systems integrator with a named platform..
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
Capgemini vs Endava FAQ
Is Capgemini better than Endava?
Capgemini (4.1/5) scores higher overall, but "better" depends on your use case. Capgemini is better for large European enterprises wanting agentic AI from a European-headquartered global systems integrator with a named platform.. 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 Capgemini and Endava differ in pricing?
Capgemini uses retainer, dedicated team, time & materials pricing with a minimum engagement of Not published (typically six- to seven-figure enterprise programs). 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: Capgemini or Endava?
Capgemini 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 Capgemini and Endava?
Capgemini's primary differentiator is: europe's largest it services company by headquarters, with a named modular agentic ai platform (raise) offering full lifecycle management.. 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 (400,000+ vs 10,000+), minimum engagement (Not published (typically six- to seven-figure enterprise programs) vs Not published), and primary industries served (Financial Services, Manufacturing vs Financial Services, Technology & SaaS).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.