Rearc vs Endava: full comparison for 2026
Quick verdict
Rearc (4.0/5) edges ahead of Endava (3.3/5) overall. Rearc is the better choice for enterprises wanting engineering-first advisory, not slide decks. 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.
Rearc vs Endava: head-to-head summary
| Criterion | Rearc | Endava |
|---|---|---|
| Founded | 2016 | 2000 |
| HQ | New York, NY, USA | London, UK |
| Team size | 51-100 | 11225 |
| Rating | 4.0 / 5 | 3.3 / 5 |
| Primary differentiator | Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off | Publicly traded (NYSE: DAVA) with a UK headquarters, useful for EU/UK-anchored enterprise buyers |
| Pricing model | Dedicated team, T&M | Retainer, dedicated team, T&M |
| Min. engagement | $30K | $100K |
| Primary tech stack | AWS, OpenAI, LangChain | AWS, Azure, Kubernetes |
| Industries served | Fintech, SaaS, Healthcare | Fintech, Retail, Telecom |
Rearc vs Endava: overview
Rearc
Rearc was founded in 2016 and is headquartered in New York, with roughly 51-100 employees (74 reported directly) across North America, Asia, and Europe. The firm is an engineering-driven services company specializing in accelerating generative AI, data platform, and cloud platform development for enterprises.
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: Rearc vs Endava
| Capability | Rearc | Endava |
|---|---|---|
| Enterprise automation | ✗ | ✓ |
| Agent orchestration | ✗ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✓ | ✗ |
| LLM integration | ✓ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: Rearc vs Endava
| Framework / platform | Rearc | Endava |
|---|---|---|
| LangChain | ✓ | N/A |
| 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 | N/A | ✓ |
| Kubernetes | ✓ | ✓ |
Pricing comparison: Rearc vs Endava
| Criterion | Rearc | Endava |
|---|---|---|
| Minimum engagement | $30K | $100K |
| Engagement models | Dedicated team, T&M, Fixed project | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Rearc vs Endava
| Dimension | Rearc | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, SaaS, Healthcare | Fintech, Retail, Telecom |
| Best use cases | GenAI platform advisory and build, Data platform foundation for agents | Enterprise AI technology consulting, Large-scale systems architecture advisory |
| Typical project type | Dedicated team | Retainer |
Rearc vs Endava: pros and cons
| Rearc | |
|---|---|
| + | Engineering-first culture avoids the strategy-only-advisory pitfall of pure consulting firms |
| + | Focused practice areas (GenAI, data, cloud) rather than broad generalist consulting |
| + | US HQ simplifies contracting for North American enterprise buyers |
| - | Smaller team (51-100) limits capacity for very large multi-region programs |
| - | Younger firm (2016) has a shorter track record than legacy advisory houses |
| 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 Rearc?
A typical fit: GenAI platform advisory and build.
Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off. Minimum engagement starts at $30K. Works best with clients in Fintech, SaaS, Healthcare.
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: Rearc vs Endava
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Rearc |
| You need a large dedicated team for an ongoing programme | Rearc |
| Your budget is at the lower end | Rearc |
| You need specialist depth in a specific vertical | Rearc |
| 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: Rearc vs Endava
| Use case | Rearc fit | Endava fit | Winner |
|---|---|---|---|
| GenAI platform advisory and build | Strong | Limited | Rearc |
| Data platform foundation for agents | Strong | Limited | Rearc |
| 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: Rearc vs Endava
Rearc (4.0/5) is the stronger overall choice for most AI Agent projects. Engineering-driven identity — advisory work is delivered by the same team that builds, not handed off.
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
Rearc vs Endava FAQ
Is Rearc better than Endava?
Rearc (4.0/5) scores higher overall, but "better" depends on your use case. Rearc's strongest advantage: engineering-first culture avoids the strategy-only-advisory pitfall of pure consulting firms. Endava's strongest advantage: publicly traded (NYSE: DAVA) with audited financial transparency.
How do Rearc and Endava differ in pricing?
Rearc uses dedicated team, t&m pricing with a minimum engagement of $30K. 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: Rearc or Endava?
Rearc 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 Rearc and Endava?
Rearc's primary differentiator is: engineering-driven identity — advisory work is delivered by the same team that builds, not handed off. 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 (51-100 vs 11225), minimum engagement ($30K vs $100K), and primary industries served (Fintech, SaaS vs Fintech, Retail).