Endava vs Zensar Technologies: full comparison for 2026
Quick verdict
Endava (3.3/5) edges ahead of Zensar Technologies (3.3/5) overall. Endava is the better choice for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory. Zensar Technologies is the stronger option for enterprises wanting a large, governance-focused agentic AI platform backed by an established conglomerate. The right choice depends on your project size, budget, and required tech stack.
Endava vs Zensar Technologies: head-to-head summary
| Criterion | Endava | Zensar Technologies |
|---|---|---|
| Founded | 2000 | 1991 |
| HQ | London, UK | Pune, India |
| Team size | 11225 | 10000+ |
| Rating | 3.3 / 5 | 3.3 / 5 |
| Best for | Enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory | Enterprises wanting a large, governance-focused agentic AI platform backed by an established conglomerate |
| Pricing model | Retainer, dedicated team, T&M | Retainer, dedicated team |
| Min. engagement | $100K | $75K |
| Primary tech stack | AWS, Azure, Kubernetes | Azure, AWS, GCP |
| Industries served | Fintech, Retail, Telecom | Fintech, Manufacturing, Healthcare, Retail, Telecom |
Endava vs Zensar Technologies: overview
Endava
Endava was founded in 2000 by John Cotterell in London and is headquartered there, with 11,225 total employees. The company is a publicly traded (NYSE: DAVA) technology services firm offering strategy consulting, data insights, systems architecture, automation, software engineering, cloud computing, and AI technology consulting.
Zensar Technologies
Zensar Technologies is part of the RPG Group, headquartered in Pune, India, with over 10,000 professionals across 30+ global locations. The firm specializes in AI-led digital transformation, digital engineering, and experience design, and launched ZenseAI, its next-generation agentic AI platform with an AgentMesh component for governed, enterprise-grade AI.
Services and capabilities: Endava vs Zensar Technologies
| Capability | Endava | Zensar Technologies |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✗ | ✓ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✗ | ✓ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✓ | ✗ |
Tech stack comparison: Endava vs Zensar Technologies
| Framework / platform | Endava | Zensar Technologies |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: Endava vs Zensar Technologies
| Criterion | Endava | Zensar Technologies |
|---|---|---|
| Minimum engagement | $100K | $75K |
| Engagement models | Retainer, Dedicated team, T&M | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Endava vs Zensar Technologies
| Dimension | Endava | Zensar Technologies |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Retail, Telecom | Fintech, Manufacturing, Healthcare |
| Best use cases | Enterprise AI technology consulting, Large-scale systems architecture advisory | Governed agentic AI platform deployment, Enterprise AI-led digital transformation |
| Typical project type | Retainer | Retainer |
Endava vs Zensar Technologies: pros and cons
| Endava | |
|---|---|
| + | Publicly traded (NYSE: DAVA) with audited financial transparency |
| + | 25+ years of technology consulting history spanning strategy through delivery |
| + | UK headquarters simplifies engagement for European enterprise buyers |
| - | Large-firm structure means less boutique-style senior-partner attention on smaller engagements |
| - | High minimum engagement puts it out of reach for smaller buyers |
| Zensar Technologies | |
|---|---|
| + | Named, governance-focused agentic platform (ZenseAI.AgentMesh) rather than generic advisory |
| + | 10,000+ professionals across 30+ locations support large distributed programs |
| + | Backed by the established RPG Group conglomerate for financial stability |
| - | Large-firm structure means less boutique-style senior-partner attention on smaller engagements |
| - | High minimum engagement limits accessibility for smaller buyers |
Who should choose Endava?
Endava is the right choice for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory.
Publicly traded (NYSE: DAVA) with a UK headquarters, useful for EU/UK-anchored enterprise buyers. Minimum engagement starts at $100K. Works best with clients in Fintech, Retail, Telecom.
Who should choose Zensar Technologies?
Zensar Technologies is the right choice for enterprises wanting a large, governance-focused agentic AI platform backed by an established conglomerate.
Named proprietary agentic platform (ZenseAI.AgentMesh) with an explicit governance focus. Minimum engagement starts at $75K. Works best with clients in Fintech, Manufacturing, Healthcare, Retail, Telecom.
Decision matrix: Endava vs Zensar Technologies
| 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 | Endava |
| Your budget is at the lower end | Zensar Technologies |
| You need specialist depth in a specific vertical | Zensar Technologies |
| 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: Endava vs Zensar Technologies
| Use case | Endava fit | Zensar Technologies fit | Winner |
|---|---|---|---|
| Enterprise AI technology consulting | Strong | Strong | Both equally |
| Large-scale systems architecture advisory | Strong | Limited | Endava |
| Governed agentic AI platform deployment | Limited | Strong | Zensar Technologies |
| Enterprise AI-led digital transformation | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Endava vs Zensar Technologies
Endava (3.3/5) is the stronger overall choice for most AI Agent projects. Publicly traded (NYSE: DAVA) with a UK headquarters, useful for EU/UK-anchored enterprise buyers. It is best for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory.
Zensar Technologies (3.3/5) is the better choice when enterprises wanting a large, governance-focused agentic AI platform backed by an established conglomerate. If your situation matches those criteria, Zensar Technologies is a competitive option.
Related comparisons
Endava vs Zensar Technologies FAQ
Is Endava better than Zensar Technologies?
Endava (3.3/5) scores higher overall, but "better" depends on your use case. Endava is better for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory. Zensar Technologies is better for enterprises wanting a large, governance-focused agentic AI platform backed by an established conglomerate.
How do Endava and Zensar Technologies differ in pricing?
Endava uses retainer, dedicated team, t&m pricing with a minimum engagement of $100K. Zensar Technologies uses retainer, dedicated team pricing with a minimum engagement of $75K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Endava or Zensar Technologies?
Endava is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultancy before shortlisting.
What are the main differences between Endava and Zensar Technologies?
Endava's primary differentiator is: publicly traded (nyse: dava) with a uk headquarters, useful for eu/uk-anchored enterprise buyers. Zensar Technologies's primary differentiator is: named proprietary agentic platform (zenseai.agentmesh) with an explicit governance focus. They also differ in team size (11225 vs 10000+), minimum engagement ($100K vs $75K), and primary industries served (Fintech, Retail vs Fintech, Manufacturing).