Endava vs N-iX: full comparison for 2026
Last updated: August 2026
Quick verdict
Endava (4.0/5) edges ahead of N-iX (3.8/5) overall. Endava is the better choice for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology.. N-iX is the stronger option for large European enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program.. The right choice depends on your project size, budget, and required tech stack.
Endava vs N-iX: head-to-head summary
| Criterion | Endava | N-iX |
|---|---|---|
| Founded | 2000 | 2002 |
| HQ | London, UK | Lviv, Ukraine |
| Team size | 10,000+ | 1,001–5,000 |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Best for | UK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology. | Large European enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program. |
| Pricing model | Dedicated team, retainer, time & materials | Dedicated team, staff augmentation |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, OpenAI, LangChain | Python, LangChain, AWS |
| Industries served | Financial Services, Technology & SaaS, Retail & E-commerce, Healthcare | Financial Services, Manufacturing, Retail & E-commerce, Technology & SaaS |
Endava vs N-iX: overview
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.
N-iX
N-iX is a software engineering services company founded in 2002, with headquarters reported as Lviv, Ukraine (also listing a Valletta, Malta corporate address), and more than 2,400 professionals across Europe, the Americas, and APAC. It delivers cloud, data analytics, embedded software, IoT, and AI/ML solutions at scale, with agentic AI positioned as an extension of its existing AI and machine learning practice. The Malta corporate registration gives it an EU legal entity even though its founding and largest delivery base is Ukraine, outside the EU proper.
Services and capabilities: Endava vs N-iX
| Capability | Endava | N-iX |
|---|---|---|
| Multi-agent orchestration | ✓ | ✓ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✓ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Endava vs N-iX
| Framework / platform | Endava | N-iX |
|---|---|---|
| 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: Endava vs N-iX
| Criterion | Endava | N-iX |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Retainer, Time & materials | Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Endava vs N-iX
| Dimension | Endava | N-iX |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial Services, Technology & SaaS, Retail & E-commerce | Financial Services, Manufacturing, Retail & E-commerce |
| Best use cases | 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 | Large enterprise programs combining cloud modernization, data platforms, and agentic AI, Buyers needing an EU legal entity (via Malta) alongside large-scale Eastern European delivery |
| Typical project type | Dedicated team | Dedicated team |
Endava vs N-iX: pros and cons
| 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 |
| N-iX | |
|---|---|
| + | 2,400+ professionals gives substantial bench depth across Europe, the Americas, and APAC |
| + | Malta corporate registration provides an EU legal entity for contracting |
| + | Two decades of engineering services history (founded 2002) across multiple technology domains |
| + | Existing AI/ML practice gives agentic work a broader data-science foundation to draw on |
| - | Founding and largest delivery base (Lviv, Ukraine) sits outside the EU proper |
| - | Agentic AI is one of many active service lines rather than the firm's core specialty |
| - | Large-organization scale can mean less senior-engineer access than boutique competitors |
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.
Who should choose N-iX?
N-iX is the right choice for large European enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program..
Scale (2,400+ engineers) and an EU corporate entity (Malta) alongside a two-decade Ukraine-founded engineering track record.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Manufacturing, Retail & E-commerce, Technology & SaaS.
Decision matrix: Endava vs N-iX
| 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 | Compare: Endava (Not published) vs N-iX (Not published) |
| You need specialist depth in a specific vertical | Endava |
| 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 N-iX
| Use case | Endava fit | N-iX fit | Winner |
|---|---|---|---|
| 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 | Strong | Limited | Endava |
| Large enterprise programs combining cloud modernization, data platforms, and agentic AI | Strong | Strong | Both equally |
| Buyers needing an EU legal entity (via Malta) alongside large-scale Eastern European delivery | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Endava vs N-iX
Endava (4.0/5) is the stronger overall choice for most AI Agent Development projects. A named, OpenAI-powered internal delivery methodology (DavaFlow) — evidence the firm applies agentic AI to its own software delivery, not just client work.. It is best for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology..
N-iX (3.8/5) is the better choice when large European enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program.. If your situation matches those criteria, N-iX is a competitive option.
Related comparisons
Endava vs N-iX FAQ
Is Endava better than N-iX?
Endava (4.0/5) scores higher overall, but "better" depends on your use case. Endava is better for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology.. N-iX is better for large European enterprises that want agentic AI delivered alongside a broader cloud, data, and engineering modernization program..
How do Endava and N-iX differ in pricing?
Endava uses dedicated team, retainer, time & materials pricing with a minimum engagement of Not published. N-iX uses dedicated team, staff augmentation 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: Endava or N-iX?
N-iX 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 Endava and N-iX?
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.. N-iX's primary differentiator is: scale (2,400+ engineers) and an eu corporate entity (malta) alongside a two-decade ukraine-founded engineering track record.. They also differ in team size (10,000+ vs 1,001–5,000), minimum engagement (Not published vs Not published), and primary industries served (Financial Services, Technology & SaaS vs Financial Services, Manufacturing).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.