ML6 vs Endava: full comparison for 2026
Last updated: August 2026
Quick verdict
ML6 (4.4/5) edges ahead of Endava (4.0/5) overall. ML6 is the better choice for european buyers who specifically require every vendor office and delivery location to sit inside the EU with no exceptions.. 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.
ML6 vs Endava: head-to-head summary
| Criterion | ML6 | Endava |
|---|---|---|
| Founded | 2013 | 2000 |
| HQ | Ghent, Belgium | London, UK |
| Team size | 51–200 | 10,000+ |
| Rating | 4.4 / 5 | 4.0 / 5 |
| Best for | European buyers who specifically require every vendor office and delivery location to sit inside the EU with no exceptions. | UK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology. |
| Pricing model | Fixed project, dedicated team | Dedicated team, retainer, time & materials |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, LangChain, GCP | Python, OpenAI, LangChain |
| Industries served | Manufacturing, Financial Services, Retail & E-commerce, Technology & SaaS | Financial Services, Technology & SaaS, Retail & E-commerce, Healthcare |
ML6 vs Endava: overview
ML6
ML6 is an AI engineering company founded in 2013 by Nicolas Deruytter and Michael Lemmer, headquartered in Ghent, Belgium, with roughly 178 employees across offices exclusively in Ghent, Amsterdam, Berlin, and Munich. Unlike most firms on this list, it operates with zero non-EU offices — every delivery location is inside the EU, which materially simplifies data-residency and cross-border transfer questions for European procurement teams. Its positioning as "Enterprise Superintelligence" reflects a broader AI engineering practice, of which agentic AI is one growing part.
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: ML6 vs Endava
| Capability | ML6 | Endava |
|---|---|---|
| Multi-agent orchestration | ✓ | ✓ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✗ | ✓ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: ML6 vs Endava
| Framework / platform | ML6 | Endava |
|---|---|---|
| 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: ML6 vs Endava
| Criterion | ML6 | Endava |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team | Dedicated team, Retainer, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: ML6 vs Endava
| Dimension | ML6 | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Manufacturing, Financial Services, Retail & E-commerce | Financial Services, Technology & SaaS, Retail & E-commerce |
| Best use cases | Procurement processes with a hard requirement that every vendor office sits inside the EU, Multi-country EU enterprises wanting a choice of Belgian, Dutch, or German delivery hub | 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 | Fixed project | Dedicated team |
ML6 vs Endava: pros and cons
| ML6 | |
|---|---|
| + | 100% EU office footprint across Belgium, Netherlands, and Germany, with zero non-EU locations |
| + | A decade-plus of AI engineering delivery history since 2013 |
| + | Multi-country EU presence (Ghent, Amsterdam, Berlin, Munich) gives clients a choice of delivery hub |
| + | ~178-person team gives meaningful bench depth for a boutique-scale firm |
| - | Agentic AI is one growing part of a broader AI engineering practice, not the sole focus |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| - | No presence outside continental Europe limits options for clients needing non-EU delivery coverage |
| 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 ML6?
ML6 is the right choice for european buyers who specifically require every vendor office and delivery location to sit inside the EU with no exceptions..
A 100% EU office footprint (Ghent, Amsterdam, Berlin, Munich) with zero non-EU locations — the cleanest data-residency story among the boutiques on this list.. Minimum engagement starts at Not published. Works best with clients in Manufacturing, Financial Services, Retail & E-commerce, 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: ML6 vs Endava
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | ML6 |
| You need a large dedicated team for an ongoing programme | ML6 |
| Your budget is at the lower end | Compare: ML6 (Not published) vs Endava (Not published) |
| You need specialist depth in a specific vertical | ML6 |
| 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: ML6 vs Endava
| Use case | ML6 fit | Endava fit | Winner |
|---|---|---|---|
| Procurement processes with a hard requirement that every vendor office sits inside the EU | Strong | Limited | ML6 |
| Multi-country EU enterprises wanting a choice of Belgian, Dutch, or German delivery hub | Strong | Limited | ML6 |
| 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: ML6 vs Endava
ML6 (4.4/5) is the stronger overall choice for most AI Agent Development projects. A 100% EU office footprint (Ghent, Amsterdam, Berlin, Munich) with zero non-EU locations — the cleanest data-residency story among the boutiques on this list.. It is best for european buyers who specifically require every vendor office and delivery location to sit inside the EU with no exceptions..
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
ML6 vs Endava FAQ
Is ML6 better than Endava?
ML6 (4.4/5) scores higher overall, but "better" depends on your use case. ML6 is better for european buyers who specifically require every vendor office and delivery location to sit inside the EU with no exceptions.. 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 ML6 and Endava differ in pricing?
ML6 uses fixed project, dedicated team pricing with a minimum engagement of Not published. 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: ML6 or Endava?
ML6 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 ML6 and Endava?
ML6's primary differentiator is: a 100% eu office footprint (ghent, amsterdam, berlin, munich) with zero non-eu locations — the cleanest data-residency story among the boutiques on this list.. 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 (51–200 vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Manufacturing, Financial Services vs Financial Services, Technology & SaaS).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.