Endava
Publicly traded technology consultancy with AI advisory services
Founded 2000 | London, UK | 11225 employees
enterprise-automationworkflow-integrationtask-automation
What is 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.
Endava was founded in 2000 and is headquartered in London, UK. The firm employs 11225 people and works primarily with clients in Fintech, Retail, Telecom sectors. Its primary differentiator is: Publicly traded (NYSE: DAVA) with a UK headquarters, useful for EU/UK-anchored enterprise buyers.
Endava tech stack and services
AWSAzureKubernetes
| Service area | Details |
|---|---|
| Enterprise AI technology consulting | Available for Fintech, Retail, Telecom clients |
| Large-scale systems architecture advisory | Available for Fintech, Retail, Telecom clients |
| UK/EU-anchored agent transformation | Available for Fintech, Retail, Telecom clients |
Endava use cases
Short answer: Endava is best suited for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory.
| Use case | Industries | Approach |
|---|---|---|
| Enterprise AI technology consulting | Fintech, Retail | AWS, Azure |
| Large-scale systems architecture advisory | Fintech, Retail | AWS, Azure |
| UK/EU-anchored agent transformation | Fintech, Retail | AWS, Azure |
Endava pricing
Short answer: Endava uses a retainer, dedicated team, t&m pricing approach. Minimum engagement starts at $100K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Retainer | Monthly rate; not public | Ongoing AI engineering |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| T&M | Variable; depends on team size | Large programmes or team augmentation |
Endava does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Endava pros and cons
| Advantages | Things to consider |
|---|---|
| +Publicly traded (NYSE: DAVA) with audited financial transparency | -Large-firm structure means less boutique-style senior-partner attention on smaller engagements |
| +25+ years of technology consulting history spanning strategy through delivery | -High minimum engagement puts it out of reach for smaller buyers |
| +UK headquarters simplifies engagement for European enterprise buyers |
Endava vs alternatives
How Endava compares to the other top AI Agent consultancies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Teams that need senior, agent-specialist advisory without big-consultancy... | 100% of advisory and delivery staff are senior AI engineers — no junior bench, no strategy-to-build handoff | 4.8 | Full comparison |
| Vstorm | Mid-market and enterprise buyers wanting boutique advisory with... | Verified enterprise client roster (Mercedes-Benz, Intel) despite a small advisory team | 4.5 | Full comparison |
| West Monroe | Enterprises wanting a proven business-and-technology consultancy with a... | Publicly launched its own agent product (WestMonroe.ai) as proof of applied capability, not just advisory slides | 4.4 | Full comparison |
| Neurons Lab | Enterprises that need AI opportunity discovery and advisory... | Full-lifecycle advisory model starting at use-case identification, not just implementation | 4.3 | Full comparison |
| Stride Consulting | Regulated-industry buyers (finance, healthcare, insurance) needing compliance-aware agent... | Explicit advisory focus on agentic AI for regulated/compliance-heavy environments | 4.2 | Full comparison |
| Tribe AI | Enterprises wanting access to a curated network of... | Platform-plus-network advisory model sourcing specialists per engagement rather than a static bench | 4.2 | Full comparison |
| RTS Labs | Enterprises stuck at the AI pilot stage that... | Explicit pilot-to-production advisory focus with named architecture/guardrails methodology | 4.1 | Full comparison |
| Thoughtworks | Large enterprises needing agent governance advisory across multi-cloud... | Named agent governance product (Agent/works) purpose-built to run and oversee enterprise AI agents | 4.0 | Full comparison |
| Rearc | Enterprises wanting an engineering-first advisory partner over a... | Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off | 4.0 | Full comparison |
| Hakkoda | Buyers wanting IBM-backed stability for data-and-AI advisory work... | IBM acquisition (April 2025) adds enterprise backing and cross-sell into IBM's broader AI portfolio | 3.9 | Full comparison |
| Xebia | Enterprises wanting AI advisory paired with a dedicated... | Combines AI-first advisory with a formal training arm, useful for buyers who need internal capability building alongside delivery | 3.9 | Full comparison |
| Blue Orange Digital | Data-heavy buyers wanting an AI advisory boutique with... | Backed by Oliver Wyman, a top-tier management consultancy, giving strategic advisory credibility beyond a typical AI boutique | 3.8 | Full comparison |
| Kanerika | Data-heavy enterprises wanting advisory tied directly into existing... | Named, production-deployed internal agent suite (Karl, DokGPT, and others) beyond generic advisory decks | 3.8 | Full comparison |
| Grid Dynamics | Large enterprises needing public-company scale, compliance rigor, and... | Publicly traded (Nasdaq: GDYN) with 4,500+ engineers — unmatched scale and financial transparency in this roster | 3.8 | Full comparison |
| Data Reply | Buyers wanting a specialized data-AI advisory division backed... | Backed by publicly traded Reply group (17,000+ employees) while operating as a focused, smaller specialist division | 3.7 | Full comparison |
| Slalom | Enterprises wanting a large, geographically diverse consultancy with... | Global AI upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing | 3.7 | Full comparison |
| Intuz | Buyers wanting a documented count of live production... | Reports 100+ enterprise agent deployments already in production across three named framework stacks | 3.7 | Full comparison |
| Signity Solutions | Cost-conscious buyers wanting full AI-first advisory, not just... | Documented evolution from web development to AI-first agentic advisory, with MLOps as a distinct capability | 3.6 | Full comparison |
| LeewayHertz | Buyers who want the stability of a Hackett... | Now backed by The Hackett Group's consulting and benchmarking resources following its 2024 acquisition | 3.6 | Full comparison |
| Netguru | Digital product companies wanting a proven internal-agent case... | Publicly documented internal production agent (Omega) as proof of applied advisory-to-delivery capability | 3.6 | Full comparison |
| Azilen Technologies | FinTech, HRTech, and manufacturing buyers wanting vertical-specific AI... | Explicit vertical focus across FinTech, manufacturing, and HRTech rather than horizontal generalism | 3.6 | Full comparison |
| Matellio | Enterprises wanting AI agent advisory alongside a larger... | US-HQ enterprise software firm with true multi-country delivery (UK, France, Germany) beyond a single offshore hub | 3.5 | Full comparison |
| Quytech | Buyers wanting agentic AI advisory paired with computer... | Broader AI portfolio spanning agentic AI, computer vision, and AR/VR beyond agents alone | 3.5 | Full comparison |
| Master of Code Global | Brands wanting conversational AI agent advisory with named... | 20+ years of conversational AI specialization with named enterprise consumer brands (T-Mobile, Burberry) | 3.5 | Full comparison |
| GeekyAnts | Product teams wanting AI-agent advisory embedded into a... | 18+ years of product engineering combined with an active internal AI-agent R&D program (Geekathon) | 3.5 | Full comparison |
| Innowise | Buyers wanting large-scale offshore advisory-plus-delivery capacity with an... | 3,500+ person full-cycle software firm with a dedicated internal AI Hub, not a small AI-only shop | 3.4 | Full comparison |
| Publicis Sapient | Global enterprises needing a top-tier advisory brand with... | Three named proprietary AI platforms (Sapient Bodhi, Slingshot, Sustain) built specifically for agentic transformation | 3.4 | Full comparison |
| Persistent Systems | Enterprises wanting a publicly traded, audited advisory partner... | Publicly traded (BSE/NSE) with 24,000+ employees and 35 years of digital engineering history | 3.4 | Full comparison |
| EPAM Systems | Global enterprises wanting the largest publicly traded engineering-consultancy... | Gartner-recognized GenAI consulting leader with 64,000+ employees, the largest single firm in this roster | 3.3 | Full comparison |
| Zensar Technologies | Enterprises wanting a large, governance-focused agentic AI platform... | Named proprietary agentic platform (ZenseAI.AgentMesh) with an explicit governance focus | 3.3 | Full comparison |
| Version 1 | Enterprises wanting an Ireland/UK-anchored management consultancy for AI... | Dublin headquarters gives it a distinct Irish/UK/US multinational footprint among this roster's large consultancies | 3.2 | Full comparison |
Endava FAQ
What is 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.
How much does Endava charge?
Endava uses retainer, dedicated team, t&m pricing. Minimum engagement starts at $100K. A discovery call is required to get project-specific quotes.
What tech stack does Endava use?
Endava works with AWS, Azure, Kubernetes. Primary industries served include Fintech, Retail, Telecom.
Is Endava right for enterprise?
Enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory. 11225 team size. Key consideration: Large-firm structure means less boutique-style senior-partner attention on smaller engagements.
What are the best Endava alternatives?
The best alternatives to Endava depend on your use case. Top options are:
- Tensorway: 100% of advisory and delivery staff are senior ai engineers — no junior bench, no strategy-to-build handoff
- Vstorm: verified enterprise client roster (mercedes-benz, intel) despite a small advisory team
- West Monroe: publicly launched its own agent product (westmonroe.ai) as proof of applied capability, not just advisory slides
Compare Endava with other AI Agent consultancies
Endava vs Tensorway Endava vs Vstorm Endava vs West Monroe Endava vs Neurons Lab Endava vs Stride Consulting Endava vs Tribe AI Endava vs RTS Labs Endava vs Thoughtworks Endava vs Rearc Endava vs Hakkoda Endava vs Xebia Endava vs Blue Orange Digital Endava vs Kanerika Endava vs Grid Dynamics Endava vs Data Reply Endava vs Slalom Endava vs Intuz Endava vs Signity Solutions Endava vs LeewayHertz Endava vs Netguru Endava vs Azilen Technologies Endava vs Matellio Endava vs Quytech Endava vs Master of Code Global Endava vs GeekyAnts Endava vs Innowise Endava vs Publicis Sapient Endava vs Persistent Systems Endava vs EPAM Systems Endava vs Zensar Technologies Endava vs Version 1