Tensorway vs Endava: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Endava (4.0/5) overall. Tensorway is the better choice for EU buyers, GDPR embedded in the delivery methodology. Endava is the stronger option for UK/EU enterprises, agentic AI in its own delivery process. 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 | 10,000+ |
| Rating | 4.8 / 5 | 4.0 / 5 |
| Primary differentiator | A Spain-headquartered legal entity with GDPR compliance as a named phase in its delivery methodology, not a bolt-on policy | A named, OpenAI-powered internal delivery methodology (DavaFlow) — evidence the firm applies agentic AI to its own software delivery, not just client work |
| Pricing model | Fixed project, dedicated team, retainer, time & materials, plus a discovery-first exploratory option | Dedicated team, retainer, time & materials |
| Min. engagement | $10K (per company website; independently unverifiable) | Not published |
| Primary tech stack | Python, TypeScript, LangChain | Python, OpenAI, LangChain |
| Industries served | Healthcare, Financial Services, Retail & E-commerce, Manufacturing | Financial Services, Technology & SaaS, Retail & E-commerce, Healthcare |
Tensorway vs Endava: overview
Tensorway
Headquartered in Alicante, Spain since 2019, Tensorway's AI-agent team inherits an EU legal entity and EU data residency by default — not retrofitted for European buyers after the fact — from a parent software company with roughly twenty-five years of continuous operation. Compliance (GDPR, HIPAA, ISO 27001) is named as an explicit phase in its six-phase delivery methodology rather than treated as an afterthought, and its lightweight, API-first architecture is built to plug into a client's existing systems instead of forcing a platform overhaul. Operating fully within EU jurisdiction lets it sidestep the cross-border data-transfer questions that non-EU vendors on this list have to answer.
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: Tensorway vs Endava
| Capability | Tensorway | Endava |
|---|---|---|
| Multi-agent orchestration | ✓ | ✓ |
| RAG / knowledge integration | ✓ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✓ | ✓ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Tensorway vs Endava
| Framework / platform | Tensorway | Endava |
|---|---|---|
| LangChain | ✓ | ✓ |
| LangGraph | ✓ | N/A |
| AutoGen | ✓ | N/A |
| LlamaIndex | ✓ | N/A |
| OpenAI | N/A | ✓ |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Tensorway vs Endava
| Criterion | Tensorway | Endava |
|---|---|---|
| Minimum engagement | $10K (per company website; independently unverifiable) | Not published |
| Engagement models | Fixed project, Dedicated team, Retainer, Time & materials, Discovery-first | Dedicated team, Retainer, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Mid-market |
Target audience comparison: Tensorway vs Endava
| Dimension | Tensorway | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Healthcare, Financial Services, Retail & E-commerce | Financial Services, Technology & SaaS, Retail & E-commerce |
| Best use cases | European enterprises needing an EU-domiciled vendor for data-residency-sensitive agent deployments, Deploying a RAG-backed knowledge agent over proprietary internal documents under GDPR constraints | 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 |
Tensorway vs Endava: pros and cons
| Tensorway | |
|---|---|
| + | Fully EU-domiciled legal entity avoids cross-border data-transfer complexity for European clients |
| + | Compliance embedded as a named phase in the delivery methodology, not an add-on policy |
| + | Lightweight, API-first architecture connects into existing systems without a platform overhaul |
| + | Six-phase methodology reaches a working MVP in roughly a month |
| + | Backed by a parent company with two-plus decades of European software delivery history |
| - | Team size (50–249, shared across the parent company's broader practice) is smaller than several global systems integrators on this list |
| - | Published case studies are a short list, so depth outside those verticals is less proven |
| - | Minimum engagement and project-count figures are sourced from the company's own site and independently unverifiable |
| 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 Tensorway?
A typical fit: european enterprises needing an EU-domiciled vendor for data-residency-sensitive agent deployments.
A Spain-headquartered legal entity with GDPR compliance as a named phase in its delivery methodology, not a bolt-on policy. Minimum engagement starts at $10K (per company website; independently unverifiable). Works best with clients in Healthcare, Financial Services, Retail & E-commerce, Manufacturing.
Who should choose Endava?
A typical fit: buyers wanting proof a vendor applies agentic AI to its own delivery process before selling it externally.
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: 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 | Compare: Tensorway ($10K (per company website; independently unverifiable)) vs Endava (Not published) |
| 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 |
|---|---|---|---|
| European enterprises needing an EU-domiciled vendor for data-residency-sensitive agent deployments | Strong | Strong | Both equally |
| Deploying a RAG-backed knowledge agent over proprietary internal documents under GDPR constraints | Strong | Limited | Tensorway |
| 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: Tensorway vs Endava
Tensorway (4.8/5) is the stronger overall choice for most AI Agent Development projects. A Spain-headquartered legal entity with GDPR compliance as a named phase in its delivery methodology, not a bolt-on policy.
Endava (4.0/5) is worth a look if you need UK and European enterprises needing large-scale dedicated-team engagements. 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: fully EU-domiciled legal entity avoids cross-border data-transfer complexity for European clients. Endava's strongest advantage: publicly documented use of OpenAI's agentic AI in its own internal delivery methodology (DavaFlow).
How do Tensorway and Endava differ in pricing?
Tensorway uses fixed project, dedicated team, retainer, time & materials, plus a discovery-first exploratory option pricing with a minimum engagement of $10K (per company website; independently unverifiable). 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: 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 company before shortlisting.
What are the main differences between Tensorway and Endava?
Tensorway's primary differentiator is: a Spain-headquartered legal entity with GDPR compliance as a named phase in its delivery methodology, not a bolt-on policy. 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 (50–249 vs 10,000+), minimum engagement ($10K (per company website; independently unverifiable) vs Not published), and primary industries served (Healthcare, Financial Services vs Financial Services, Technology & SaaS).