Master of Code Global vs Endava: full comparison for 2026
Quick verdict
Master of Code Global (3.5/5) edges ahead of Endava (3.3/5) overall. Master of Code Global is the better choice for brands wanting conversational AI agent advisory with named enterprise consumer-brand references. 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.
Master of Code Global vs Endava: head-to-head summary
| Criterion | Master of Code Global | Endava |
|---|---|---|
| Founded | 2004 | 2000 |
| HQ | Redwood City, CA, USA | London, UK |
| Team size | 201-250 | 11225 |
| Rating | 3.5 / 5 | 3.3 / 5 |
| Best for | Brands wanting conversational AI agent advisory with named enterprise consumer-brand references | Enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory |
| Pricing model | Fixed project, retainer | Retainer, dedicated team, T&M |
| Min. engagement | $20K | $100K |
| Primary tech stack | OpenAI, LangChain, AWS | AWS, Azure, Kubernetes |
| Industries served | Retail, Telecom, Fashion | Fintech, Retail, Telecom |
Master of Code Global vs Endava: overview
Master of Code Global
Master of Code Global was founded in 2004 with headquarters reported in both Winnipeg, Canada and Redwood City, California, and a team of roughly 184-250 across 5 global offices. The company specializes in conversational AI advisory, custom AI agents, chatbots, and voice solutions, reporting over 1,000 completed projects for clients including T-Mobile, Burberry, and Tom Ford.
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: Master of Code Global vs Endava
| Capability | Master of Code Global | Endava |
|---|---|---|
| Enterprise automation | ✗ | ✓ |
| Agent orchestration | ✗ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✗ | ✗ |
| LLM integration | ✓ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: Master of Code Global vs Endava
| Framework / platform | Master of Code Global | 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 | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Master of Code Global vs Endava
| Criterion | Master of Code Global | Endava |
|---|---|---|
| Minimum engagement | $20K | $100K |
| Engagement models | Fixed project, Retainer, Dedicated team | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Master of Code Global vs Endava
| Dimension | Master of Code Global | Endava |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Telecom, Fashion | Fintech, Retail, Telecom |
| Best use cases | Conversational AI agent advisory, Voice-based customer agent strategy | Enterprise AI technology consulting, Large-scale systems architecture advisory |
| Typical project type | Fixed project | Retainer |
Master of Code Global vs Endava: pros and cons
| Master of Code Global | |
|---|---|
| + | 20+ years focused specifically on conversational AI, longer than most agent-era entrants |
| + | Named, verifiable enterprise consumer-brand clients (T-Mobile, Burberry, Tom Ford) |
| + | 1,000+ completed projects (per company website) shows high advisory-and-delivery volume |
| - | Conversational/chatbot heritage means less depth in non-conversational agent advisory categories |
| - | Dual-HQ reporting (Winnipeg/Redwood City) across sources — confirm legal HQ directly |
| 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 Master of Code Global?
Master of Code Global is the right choice for brands wanting conversational AI agent advisory with named enterprise consumer-brand references.
20+ years of conversational AI specialization with named enterprise consumer brands (T-Mobile, Burberry). Minimum engagement starts at $20K. Works best with clients in Retail, Telecom, Fashion.
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: Master of Code Global vs Endava
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Master of Code Global |
| You need a large dedicated team for an ongoing programme | Master of Code Global |
| Your budget is at the lower end | Master of Code Global |
| You need specialist depth in a specific vertical | Master of Code Global |
| 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: Master of Code Global vs Endava
| Use case | Master of Code Global fit | Endava fit | Winner |
|---|---|---|---|
| Conversational AI agent advisory | Strong | Limited | Master of Code Global |
| Voice-based customer agent strategy | Strong | Limited | Master of Code Global |
| 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: Master of Code Global vs Endava
Master of Code Global (3.5/5) is the stronger overall choice for most AI Agent projects. 20+ years of conversational AI specialization with named enterprise consumer brands (T-Mobile, Burberry). It is best for brands wanting conversational AI agent advisory with named enterprise consumer-brand references.
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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Master of Code Global vs Endava FAQ
Is Master of Code Global better than Endava?
Master of Code Global (3.5/5) scores higher overall, but "better" depends on your use case. Master of Code Global is better for brands wanting conversational AI agent advisory with named enterprise consumer-brand references. Endava is better for enterprises wanting a publicly traded UK-headquartered technology consultancy for AI advisory.
How do Master of Code Global and Endava differ in pricing?
Master of Code Global uses fixed project, retainer pricing with a minimum engagement of $20K. 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: Master of Code Global or Endava?
Master of Code Global 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 Master of Code Global and Endava?
Master of Code Global's primary differentiator is: 20+ years of conversational ai specialization with named enterprise consumer brands (t-mobile, burberry). 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 (201-250 vs 11225), minimum engagement ($20K vs $100K), and primary industries served (Retail, Telecom vs Fintech, Retail).