Netguru vs Endava: full comparison for 2026
Quick verdict
Netguru (3.6/5) edges ahead of Endava (3.3/5) overall. Netguru is the better choice for digital product companies wanting a proven internal-agent case study translated into advisory work. 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.
Netguru vs Endava: head-to-head summary
| Criterion | Netguru | Endava |
|---|---|---|
| Founded | 2008 | 2000 |
| HQ | Poznań, Poland | London, UK |
| Team size | 501-1000 | 11225 |
| Rating | 3.6 / 5 | 3.3 / 5 |
| Best for | Digital product companies wanting a proven internal-agent case study translated into advisory work | Enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory |
| Pricing model | Dedicated team, retainer | Retainer, dedicated team, T&M |
| Min. engagement | $25K | $100K |
| Primary tech stack | OpenAI, AWS, Node.js | AWS, Azure, Kubernetes |
| Industries served | SaaS, Fintech, Retail | Fintech, Retail, Telecom |
Netguru vs Endava: overview
Netguru
Netguru was founded in 2008 and is headquartered in Poznań, Poland, with 501-1,000 employees across offices including Warsaw, Kraków, Wrocław, Gdańsk, and Białystok. The company built Omega, an internal AI agent that automates tasks and guides sales reps through the sales process, and offers similar agent advisory and build services to enterprise and startup clients.
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: Netguru vs Endava
| Capability | Netguru | Endava |
|---|---|---|
| Enterprise automation | ✗ | ✓ |
| Agent orchestration | ✗ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✗ | ✗ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: Netguru vs Endava
| Framework / platform | Netguru | Endava |
|---|---|---|
| LangChain | N/A | 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 | N/A | ✓ |
Pricing comparison: Netguru vs Endava
| Criterion | Netguru | Endava |
|---|---|---|
| Minimum engagement | $25K | $100K |
| Engagement models | Dedicated team, Retainer, Fixed project | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Netguru vs Endava
| Dimension | Netguru | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Retail | Fintech, Retail, Telecom |
| Best use cases | Sales process automation advisory, Customer support agent strategy | Enterprise AI technology consulting, Large-scale systems architecture advisory |
| Typical project type | Dedicated team | Retainer |
Netguru vs Endava: pros and cons
| Netguru | |
|---|---|
| + | Internal production agent (Omega) demonstrates real operational agent use, not just advisory pitches |
| + | Established digital product consultancy since 2008 with strong startup/scaleup portfolio |
| + | Multiple Poland offices provide solid EU delivery coverage |
| - | Broader digital-product identity means AI agent advisory is one of several service lines |
| - | Internal agent case study (Omega) is sales-process-specific, less evidence in other advisory domains |
| 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 Netguru?
Netguru is the right choice for digital product companies wanting a proven internal-agent case study translated into advisory work.
Publicly documented internal production agent (Omega) as proof of applied advisory-to-delivery capability. Minimum engagement starts at $25K. Works best with clients in SaaS, Fintech, Retail.
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: Netguru vs Endava
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Netguru |
| You need a large dedicated team for an ongoing programme | Netguru |
| Your budget is at the lower end | Netguru |
| You need specialist depth in a specific vertical | Netguru |
| 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: Netguru vs Endava
| Use case | Netguru fit | Endava fit | Winner |
|---|---|---|---|
| Sales process automation advisory | Strong | Limited | Netguru |
| Customer support agent strategy | Strong | Limited | Netguru |
| 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: Netguru vs Endava
Netguru (3.6/5) is the stronger overall choice for most AI Agent projects. Publicly documented internal production agent (Omega) as proof of applied advisory-to-delivery capability. It is best for digital product companies wanting a proven internal-agent case study translated into advisory work.
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.
Related comparisons
Netguru vs Endava FAQ
Is Netguru better than Endava?
Netguru (3.6/5) scores higher overall, but "better" depends on your use case. Netguru is better for digital product companies wanting a proven internal-agent case study translated into advisory work. Endava is better for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory.
How do Netguru and Endava differ in pricing?
Netguru uses dedicated team, retainer pricing with a minimum engagement of $25K. 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: Netguru or Endava?
Netguru 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 Netguru and Endava?
Netguru's primary differentiator is: publicly documented internal production agent (omega) as proof of applied advisory-to-delivery capability. 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 (501-1000 vs 11225), minimum engagement ($25K vs $100K), and primary industries served (SaaS, Fintech vs Fintech, Retail).