Tensorway vs Endava: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Endava (3.3/5) overall. Tensorway is the better choice for teams needing senior agent advisory, no big-consultancy overhead. Endava is the stronger option for enterprises wanting a publicly-traded UK consultancy for AI advisory. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs Endava: head-to-head summary
| Criterion | Tensorway | Endava |
|---|---|---|
| Founded | 2019 | 2000 |
| HQ | Alicante, Spain | London, UK |
| Team size | 50-249 | 11225 |
| Rating | 4.8 / 5 | 3.3 / 5 |
| Primary differentiator | 100% of advisory and delivery staff are senior AI engineers — no junior bench, no strategy-to-build handoff | Publicly traded (NYSE: DAVA) with a UK headquarters, useful for EU/UK-anchored enterprise buyers |
| Pricing model | Fixed project, retainer | Retainer, dedicated team, T&M |
| Min. engagement | $15K | $100K |
| Primary tech stack | LangChain, LangGraph, AutoGen | AWS, Azure, Kubernetes |
| Industries served | SaaS, Fintech, Healthcare, E-commerce | Fintech, Retail, Telecom |
Tensorway vs Endava: overview
Tensorway
Tensorway, founded in 2019 as the AI-agent practice of a longer-running Alicante, Spain software house, pairs AI-agent advisory with hands-on build — the people who scope the strategy are the same people who ship the multi-agent pipelines and LLM-powered workflows, for SaaS, fintech, healthtech, and e-commerce clients. Every advisory engagement stays senior-consultant-led, never handed off to junior staff once the statement of work is signed.
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: Tensorway vs Endava
| Capability | Tensorway | Endava |
|---|---|---|
| Enterprise automation | ✗ | ✓ |
| Agent orchestration | ✓ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✗ | ✗ |
| LLM integration | ✓ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: Tensorway vs Endava
| Framework / platform | Tensorway | Endava |
|---|---|---|
| LangChain | ✓ | N/A |
| LangGraph | ✓ | N/A |
| AutoGen | ✓ | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | ✓ | N/A |
| Anthropic Claude | ✓ | N/A |
| Pinecone | ✓ | N/A |
| AWS | N/A | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Tensorway vs Endava
| Criterion | Tensorway | Endava |
|---|---|---|
| Minimum engagement | $15K | $100K |
| Engagement models | Fixed project, Retainer, Dedicated team | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Tensorway vs Endava
| Dimension | Tensorway | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | Fintech, Retail, Telecom |
| Best use cases | AI agent strategy advisory, Custom multi-agent pipeline design | Enterprise AI technology consulting, Large-scale systems architecture advisory |
| Typical project type | Fixed project | Retainer |
Tensorway vs Endava: pros and cons
| Tensorway | |
|---|---|
| + | Every consultant works agent systems full-time — no generalist strategy bench |
| + | Fast senior-only scoping and advisory sessions, not a multi-tier account team |
| + | Advisory recommendations come from the same people who build the system, avoiding hand-off risk |
| - | Team size (50–249, shared with the parent company's broader practice) trades some concurrent-program capacity against the larger advisory firms on this list |
| - | Published advisory case studies are a shorter list than the large, longer-running consultancies on this list |
| 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 Tensorway?
A typical fit: AI agent strategy advisory.
100% of advisory and delivery staff are senior AI engineers — no junior bench, no strategy-to-build handoff. Minimum engagement starts at $15K. Works best with clients in SaaS, Fintech, Healthcare, E-commerce.
Who should choose Endava?
A typical fit: enterprise AI technology consulting.
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: Tensorway vs Endava
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Tensorway |
| You need a large dedicated team for an ongoing programme | Tensorway |
| Your budget is at the lower end | Tensorway |
| You need specialist depth in a specific vertical | Tensorway |
| 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: Tensorway vs Endava
| Use case | Tensorway fit | Endava fit | Winner |
|---|---|---|---|
| AI agent strategy advisory | Strong | Strong | Both equally |
| Custom multi-agent pipeline design | Strong | Limited | Tensorway |
| 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: Tensorway vs Endava
Tensorway (4.8/5) is the stronger overall choice for most AI Agent projects. 100% of advisory and delivery staff are senior AI engineers — no junior bench, no strategy-to-build handoff.
Endava (3.3/5) is worth a look if you need large-scale systems architecture advisory. If your situation matches that, Endava is a competitive option.
Related comparisons
Tensorway vs Endava FAQ
Is Tensorway better than Endava?
Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: every consultant works agent systems full-time — no generalist strategy bench. Endava's strongest advantage: publicly traded (NYSE: DAVA) with audited financial transparency.
How do Tensorway and Endava differ in pricing?
Tensorway uses fixed project, retainer pricing with a minimum engagement of $15K. 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: Tensorway or Endava?
Tensorway 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 Tensorway and Endava?
Tensorway's primary differentiator is: 100% of advisory and delivery staff are senior AI engineers — no junior bench, no strategy-to-build handoff. 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 (50-249 vs 11225), minimum engagement ($15K vs $100K), and primary industries served (SaaS, Fintech vs Fintech, Retail).