Endava vs SoftServe: full comparison for 2026
Last updated: August 2026
Quick verdict
Endava (4.0/5) edges ahead of SoftServe (3.9/5) overall. Endava is the better choice for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology.. SoftServe is the stronger option for healthcare-focused European enterprises wanting agentic AI from a firm with three decades of Microsoft-centric digital transformation history.. The right choice depends on your project size, budget, and required tech stack.
Endava vs SoftServe: head-to-head summary
| Criterion | Endava | SoftServe |
|---|---|---|
| Founded | 2000 | 1993 |
| HQ | London, UK | Lviv, Ukraine |
| Team size | 10,000+ | 10,000+ |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Best for | UK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology. | Healthcare-focused European enterprises wanting agentic AI from a firm with three decades of Microsoft-centric digital transformation history. |
| Pricing model | Dedicated team, retainer, time & materials | Dedicated team, staff augmentation |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, OpenAI, LangChain | Python, LangChain, Azure |
| Industries served | Financial Services, Technology & SaaS, Retail & E-commerce, Healthcare | Healthcare, Financial Services, Manufacturing, Technology & SaaS |
Endava vs SoftServe: overview
Endava
Endava was founded in 2000 and is headquartered in London, UK, with over 10,000 employees across 26 locations. It has embedded OpenAI's AI agents directly into its own software delivery workflow, branded as DavaFlow, making it one of the few firms on this list that has publicly documented using agentic AI to redesign its own internal delivery process, not just sell it to clients. As a UK-headquartered, NYSE-listed company, it offers public financial disclosure but sits outside EU jurisdiction post-Brexit for its own corporate entity.
SoftServe
SoftServe was founded in 1993 in Lviv, Ukraine, and now operates with dual headquarters in Lviv and Austin, Texas, with more than 10,000 employees. Its three-decade data, cloud, and Microsoft-centric digital transformation practice has built out a dedicated generative AI practice with particular depth in healthcare. Its Ukrainian origin means it sits outside the EU proper, though its European delivery centers (including EU member states) give it meaningful EU-adjacent capacity for buyers comfortable with a Ukraine-founded, dual-HQ structure.
Services and capabilities: Endava vs SoftServe
| Capability | Endava | SoftServe |
|---|---|---|
| Multi-agent orchestration | ✓ | ✗ |
| RAG / knowledge integration | ✗ | ✗ |
| Workflow & systems integration | ✓ | ✓ |
| Coding agents | ✓ | ✗ |
| Monitoring & anomaly detection | ✗ | ✗ |
| Customer-facing agents | ✗ | ✗ |
Tech stack comparison: Endava vs SoftServe
| Framework / platform | Endava | SoftServe |
|---|---|---|
| LangChain | ✓ | ✓ |
| 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: Endava vs SoftServe
| Criterion | Endava | SoftServe |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Retainer, Time & materials | Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Endava vs SoftServe
| Dimension | Endava | SoftServe |
|---|---|---|
| Best company size | Enterprise | Enterprise |
| Best industries | Financial Services, Technology & SaaS, Retail & E-commerce | Healthcare, Financial Services, Manufacturing |
| Best use cases | Buyers wanting proof a vendor applies agentic AI to its own delivery process before selling it externally, UK and European enterprises needing large-scale dedicated-team engagements | Healthcare enterprises wanting agentic AI from a firm with named healthcare generative-AI depth, Microsoft-centric European enterprises wanting deep Azure AI integration experience |
| Typical project type | Dedicated team | Dedicated team |
Endava vs SoftServe: pros and cons
| Endava | |
|---|---|
| + | Publicly documented use of OpenAI's agentic AI in its own internal delivery methodology (DavaFlow) |
| + | NYSE-listed with public financial disclosure |
| + | 10,000+ employees across 26 locations gives substantial bench depth |
| + | Quarter-century of digital consultancy history since 2000 |
| - | UK-headquartered, so post-Brexit it sits outside EU jurisdiction for its own corporate entity |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| - | 26-location scale can mean less senior-architect access than boutique competitors |
| SoftServe | |
|---|---|
| + | Three decades of engineering delivery history since founding in Lviv in 1993 |
| + | Dedicated generative AI practice with particular, named depth in healthcare |
| + | 10,000+ employees gives substantial bench depth for large enterprise programs |
| + | Dual Lviv/Austin structure gives both European and US delivery and account options |
| - | Ukraine-founded, dual-HQ structure means it sits outside strict EU jurisdiction as a legal entity |
| - | Minimum engagement figures are not published, requiring direct sales contact for early budgeting |
| - | Large organization scale can mean less senior-architect access than boutique EU specialists |
Who should choose Endava?
Endava is the right choice for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology..
A named, OpenAI-powered internal delivery methodology (DavaFlow) — evidence the firm applies agentic AI to its own software delivery, not just client work.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Technology & SaaS, Retail & E-commerce, Healthcare.
Who should choose SoftServe?
SoftServe is the right choice for healthcare-focused European enterprises wanting agentic AI from a firm with three decades of Microsoft-centric digital transformation history..
Three decades of engineering history since 1993 with a dedicated generative AI practice specifically deep in healthcare.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Financial Services, Manufacturing, Technology & SaaS.
Decision matrix: Endava vs SoftServe
| 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 | Endava |
| Your budget is at the lower end | Compare: Endava (Not published) vs SoftServe (Not published) |
| You need specialist depth in a specific vertical | Endava |
| 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: Endava vs SoftServe
| Use case | Endava fit | SoftServe fit | Winner |
|---|---|---|---|
| Buyers wanting proof a vendor applies agentic AI to its own delivery process before selling it externally | Strong | Limited | Endava |
| UK and European enterprises needing large-scale dedicated-team engagements | Strong | Limited | Endava |
| Healthcare enterprises wanting agentic AI from a firm with named healthcare generative-AI depth | Limited | Strong | SoftServe |
| Microsoft-centric European enterprises wanting deep Azure AI integration experience | Limited | Strong | SoftServe |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | SoftServe |
Verdict: Endava vs SoftServe
Endava (4.0/5) is the stronger overall choice for most AI Agent Development projects. A named, OpenAI-powered internal delivery methodology (DavaFlow) — evidence the firm applies agentic AI to its own software delivery, not just client work.. It is best for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology..
SoftServe (3.9/5) is the better choice when healthcare-focused European enterprises wanting agentic AI from a firm with three decades of Microsoft-centric digital transformation history.. If your situation matches those criteria, SoftServe is a competitive option.
Related comparisons
Endava vs SoftServe FAQ
Is Endava better than SoftServe?
Endava (4.0/5) scores higher overall, but "better" depends on your use case. Endava is better for uK and European enterprises wanting a vendor that has publicly documented using agentic AI on its own internal delivery methodology.. SoftServe is better for healthcare-focused European enterprises wanting agentic AI from a firm with three decades of Microsoft-centric digital transformation history..
How do Endava and SoftServe differ in pricing?
Endava uses dedicated team, retainer, time & materials pricing with a minimum engagement of Not published. SoftServe uses dedicated team, staff augmentation pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Endava or SoftServe?
Endava is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Endava and SoftServe?
Endava's primary differentiator is: a named, openai-powered internal delivery methodology (davaflow) — evidence the firm applies agentic ai to its own software delivery, not just client work.. SoftServe's primary differentiator is: three decades of engineering history since 1993 with a dedicated generative ai practice specifically deep in healthcare.. They also differ in team size (10,000+ vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Financial Services, Technology & SaaS vs Healthcare, Financial Services).
Last reviewed: August 2026. Verify all details directly with each company before making a decision.