GeekyAnts vs Endava: full comparison for 2026
Quick verdict
GeekyAnts (3.5/5) edges ahead of Endava (3.3/5) overall. GeekyAnts is the better choice for product teams wanting AI-agent advisory embedded into a broader custom software build. Endava is the stronger option for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory. The right choice depends on your project size, budget, and required tech stack.
GeekyAnts vs Endava: head-to-head summary
| Criterion | GeekyAnts | Endava |
|---|---|---|
| Founded | 2006 | 2000 |
| HQ | Bangalore, India | London, UK |
| Team size | 201-500 | 11225 |
| Rating | 3.5 / 5 | 3.3 / 5 |
| Best for | Product teams wanting AI-agent advisory embedded into a broader custom software build | Enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory |
| Pricing model | Dedicated team, fixed project | Retainer, dedicated team, T&M |
| Min. engagement | $20K | $100K |
| Primary tech stack | LangChain, OpenAI, AWS | AWS, Azure, Kubernetes |
| Industries served | SaaS, Retail, Media | Fintech, Retail, Telecom |
GeekyAnts vs Endava: overview
GeekyAnts
GeekyAnts was founded in 2006 and is headquartered in Bangalore, India, with a U.S. office in San Francisco and roughly 450-500 employees. The company runs an annual Geekathon event showcasing autonomous agents and multi-agent architectures, and offers generative AI, AI copilots, and agentic-workflow advisory alongside its core product engineering practice.
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.
Services and capabilities: GeekyAnts vs Endava
| Capability | GeekyAnts | Endava |
|---|---|---|
| Enterprise automation | ✗ | ✓ |
| Agent orchestration | ✗ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✗ | ✗ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: GeekyAnts vs Endava
| Framework / platform | GeekyAnts | Endava |
|---|---|---|
| LangChain | ✓ | N/A |
| 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 | N/A | ✓ |
| Kubernetes | ✓ | ✓ |
Pricing comparison: GeekyAnts vs Endava
| Criterion | GeekyAnts | Endava |
|---|---|---|
| Minimum engagement | $20K | $100K |
| Engagement models | Dedicated team, Fixed project, Staff augmentation | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: GeekyAnts vs Endava
| Dimension | GeekyAnts | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Retail, Media | Fintech, Retail, Telecom |
| Best use cases | AI copilot advisory for existing products, Agentic workflow strategy | Enterprise AI technology consulting, Large-scale systems architecture advisory |
| Typical project type | Dedicated team | Retainer |
GeekyAnts vs Endava: pros and cons
| GeekyAnts | |
|---|---|
| + | Strong product-engineering track record dating back to 2006 |
| + | Active internal R&D events (Geekathon) demonstrate ongoing agent-tech investment |
| + | Sizeable team (450-500) offers good advisory-and-delivery capacity at mid-market pricing |
| - | Broader product-engineering identity means agent advisory is one service line among several |
| - | US and India office split can add timezone coordination for real-time collaboration |
| 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 |
Who should choose GeekyAnts?
GeekyAnts is the right choice for product teams wanting AI-agent advisory embedded into a broader custom software build.
18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon). Minimum engagement starts at $20K. Works best with clients in SaaS, Retail, Media.
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.
Decision matrix: GeekyAnts vs Endava
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | GeekyAnts |
| You need a large dedicated team for an ongoing programme | GeekyAnts |
| Your budget is at the lower end | GeekyAnts |
| You need specialist depth in a specific vertical | GeekyAnts |
| 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: GeekyAnts vs Endava
| Use case | GeekyAnts fit | Endava fit | Winner |
|---|---|---|---|
| AI copilot advisory for existing products | Strong | Strong | Both equally |
| Agentic workflow strategy | Strong | Limited | GeekyAnts |
| Enterprise AI technology consulting | Limited | Strong | Endava |
| Large-scale systems architecture advisory | Limited | Strong | Endava |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: GeekyAnts vs Endava
GeekyAnts (3.5/5) is the stronger overall choice for most AI Agent projects. 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon). It is best for product teams wanting AI-agent advisory embedded into a broader custom software build.
Endava (3.3/5) is the better choice when enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory. If your situation matches those criteria, Endava is a competitive option.
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GeekyAnts vs Endava FAQ
Is GeekyAnts better than Endava?
GeekyAnts (3.5/5) scores higher overall, but "better" depends on your use case. GeekyAnts is better for product teams wanting AI-agent advisory embedded into a broader custom software build. Endava is better for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory.
How do GeekyAnts and Endava differ in pricing?
GeekyAnts uses dedicated team, fixed project pricing with a minimum engagement of $20K. Endava uses retainer, dedicated team, t&m pricing with a minimum engagement of $100K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: GeekyAnts or Endava?
GeekyAnts 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 GeekyAnts and Endava?
GeekyAnts's primary differentiator is: 18+ years of product engineering combined with an active internal ai-agent r&d program (geekathon). Endava's primary differentiator is: publicly traded (nyse: dava) with a uk headquarters, useful for eu/uk-anchored enterprise buyers. They also differ in team size (201-500 vs 11225), minimum engagement ($20K vs $100K), and primary industries served (SaaS, Retail vs Fintech, Retail).