Slalom vs Endava: full comparison for 2026
Quick verdict
Slalom (3.7/5) edges ahead of Endava (3.3/5) overall. Slalom is the better choice for enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program. 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.
Slalom vs Endava: head-to-head summary
| Criterion | Slalom | Endava |
|---|---|---|
| Founded | 2001 | 2000 |
| HQ | Seattle, WA, USA | London, UK |
| Team size | 7800-12000 | 11225 |
| Rating | 3.7 / 5 | 3.3 / 5 |
| Best for | Enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program | Enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory |
| Pricing model | Retainer, dedicated team | Retainer, dedicated team, T&M |
| Min. engagement | $75K | $100K |
| Primary tech stack | AWS, Azure, GCP | AWS, Azure, Kubernetes |
| Industries served | Fintech, Healthcare, Retail, Manufacturing | Fintech, Retail, Telecom |
Slalom vs Endava: overview
Slalom
Slalom was founded in 2001 by Brad Jackson and John Tobin and is headquartered in Seattle, Washington, with employee counts reported between roughly 7,800 and 12,000 across 45 markets in eight countries. In 2024 the firm launched a major AI upskilling program for its consultants worldwide and opened a new technology hub in Mexico focused on AI and data science hiring.
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: Slalom vs Endava
| Capability | Slalom | Endava |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✓ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✗ | ✗ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: Slalom vs Endava
| Framework / platform | Slalom | 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 | N/A | ✓ |
Pricing comparison: Slalom vs Endava
| Criterion | Slalom | Endava |
|---|---|---|
| Minimum engagement | $75K | $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: Slalom vs Endava
| Dimension | Slalom | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail | Fintech, Retail, Telecom |
| Best use cases | Enterprise AI transformation advisory, Large-scale business-technology consulting | Enterprise AI technology consulting, Large-scale systems architecture advisory |
| Typical project type | Retainer | Retainer |
Slalom vs Endava: pros and cons
| Slalom | |
|---|---|
| + | 23+ years of business-and-technology consulting history across 45 global markets |
| + | Documented internal AI upskilling investment (2024) beyond client-facing marketing |
| + | New Mexico technology hub adds nearshore AI/data science delivery capacity |
| - | Large-firm structure means less boutique-style senior-partner attention on smaller engagements |
| - | High minimum engagement puts it out of reach for smaller buyers |
| 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 Slalom?
Slalom is the right choice for enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program.
Global AI upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing. Minimum engagement starts at $75K. Works best with clients in Fintech, Healthcare, Retail, 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: Slalom 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 | Slalom |
| Your budget is at the lower end | Slalom |
| You need specialist depth in a specific vertical | Slalom |
| 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: Slalom vs Endava
| Use case | Slalom fit | Endava fit | Winner |
|---|---|---|---|
| Enterprise AI transformation advisory | Strong | Strong | Both equally |
| Large-scale business-technology consulting | Strong | Strong | Both equally |
| 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: Slalom vs Endava
Slalom (3.7/5) is the stronger overall choice for most AI Agent projects. Global AI upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing. It is best for enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program.
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.
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Slalom vs Endava FAQ
Is Slalom better than Endava?
Slalom (3.7/5) scores higher overall, but "better" depends on your use case. Slalom is better for enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program. Endava is better for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory.
How do Slalom and Endava differ in pricing?
Slalom uses retainer, dedicated team pricing with a minimum engagement of $75K. 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: Slalom or Endava?
Slalom 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 Slalom and Endava?
Slalom's primary differentiator is: global ai upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing. 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 (7800-12000 vs 11225), minimum engagement ($75K vs $100K), and primary industries served (Fintech, Healthcare vs Fintech, Retail).