Publicis Sapient vs Endava: full comparison for 2026
Quick verdict
Publicis Sapient (3.4/5) edges ahead of Endava (3.3/5) overall. Publicis Sapient is the better choice for global enterprises needing a top-tier advisory brand with named proprietary AI platforms. Endava is the stronger option for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory. The right choice depends on your project size, budget, and required tech stack.
Publicis Sapient vs Endava: head-to-head summary
| Criterion | Publicis Sapient | Endava |
|---|---|---|
| Founded | 1990 | 2000 |
| HQ | Boston, MA, USA | London, UK |
| Team size | 20000-25000 | 11225 |
| Rating | 3.4 / 5 | 3.3 / 5 |
| Best for | Global enterprises needing a top-tier advisory brand with named proprietary AI platforms | Enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory |
| Pricing model | Retainer, dedicated team | Retainer, dedicated team, T&M |
| Min. engagement | $150K | $100K |
| Primary tech stack | AWS, Azure, GCP | AWS, Azure, Kubernetes |
| Industries served | Retail, Fintech, Telecom, Manufacturing | Fintech, Retail, Telecom |
Publicis Sapient vs Endava: overview
Publicis Sapient
Publicis Sapient was founded on November 6, 1990 by Jerry Greenberg and J. Stuart Moore in Cambridge, Massachusetts, and is now headquartered in Boston with a workforce of approximately 25,000. The firm's AI platforms — Sapient Bodhi, Sapient Slingshot, and Sapient Sustain — help enterprises modernize, build agentic solutions, and pair human ingenuity with agentic systems that scale intelligence across the organization.
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: Publicis Sapient vs Endava
| Capability | Publicis Sapient | Endava |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✓ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✓ | ✗ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✗ | ✓ |
Tech stack comparison: Publicis Sapient vs Endava
| Framework / platform | Publicis Sapient | Endava |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
Pricing comparison: Publicis Sapient vs Endava
| Criterion | Publicis Sapient | Endava |
|---|---|---|
| Minimum engagement | $150K | $100K |
| Engagement models | Retainer, Dedicated team, T&M | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Publicis Sapient vs Endava
| Dimension | Publicis Sapient | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Fintech, Telecom | Fintech, Retail, Telecom |
| Best use cases | Global enterprise agentic transformation, Proprietary AI platform advisory | Enterprise AI technology consulting, Large-scale systems architecture advisory |
| Typical project type | Retainer | Retainer |
Publicis Sapient vs Endava: pros and cons
| Publicis Sapient | |
|---|---|
| + | 35+ years of digital transformation consulting history |
| + | Three named proprietary AI platforms provide concrete, demonstrable IP beyond advisory decks |
| + | 25,000-person global scale supports the largest, most complex enterprise programs |
| - | Very high minimum engagement puts it out of reach for all but the largest enterprise buyers |
| - | Scale means limited boutique-style senior-partner attention on any single engagement |
| 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 Publicis Sapient?
Publicis Sapient is the right choice for global enterprises needing a top-tier advisory brand with named proprietary AI platforms.
Three named proprietary AI platforms (Sapient Bodhi, Slingshot, Sustain) built specifically for agentic transformation. Minimum engagement starts at $150K. Works best with clients in Retail, Fintech, Telecom, Manufacturing.
Who should choose Endava?
Endava is the right choice for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory.
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: Publicis Sapient vs Endava
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Publicis Sapient |
| Your budget is at the lower end | Endava |
| You need specialist depth in a specific vertical | Publicis Sapient |
| 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: Publicis Sapient vs Endava
| Use case | Publicis Sapient fit | Endava fit | Winner |
|---|---|---|---|
| Global enterprise agentic transformation | Strong | Limited | Publicis Sapient |
| Proprietary AI platform advisory | Strong | Limited | Publicis Sapient |
| Enterprise AI technology consulting | Strong | Strong | Both equally |
| Large-scale systems architecture advisory | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Publicis Sapient vs Endava
Publicis Sapient (3.4/5) is the stronger overall choice for most AI Agent projects. Three named proprietary AI platforms (Sapient Bodhi, Slingshot, Sustain) built specifically for agentic transformation. It is best for global enterprises needing a top-tier advisory brand with named proprietary AI platforms.
Endava (3.3/5) is the better choice when enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory. If your situation matches those criteria, Endava is a competitive option.
Related comparisons
Publicis Sapient vs Endava FAQ
Is Publicis Sapient better than Endava?
Publicis Sapient (3.4/5) scores higher overall, but "better" depends on your use case. Publicis Sapient is better for global enterprises needing a top-tier advisory brand with named proprietary AI platforms. Endava is better for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory.
How do Publicis Sapient and Endava differ in pricing?
Publicis Sapient uses retainer, dedicated team pricing with a minimum engagement of $150K. 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: Publicis Sapient or Endava?
Publicis Sapient 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 Publicis Sapient and Endava?
Publicis Sapient's primary differentiator is: three named proprietary ai platforms (sapient bodhi, slingshot, sustain) built specifically for agentic transformation. 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 (20000-25000 vs 11225), minimum engagement ($150K vs $100K), and primary industries served (Retail, Fintech vs Fintech, Retail).