EPAM Systems vs Capgemini: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of Capgemini (4.0/5) overall. EPAM Systems is the better choice for enterprises with multi-year engineering budgets. Capgemini is the stronger option for global firms outsourcing AI-run back-office processes. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs Capgemini: head-to-head summary
| Criterion | EPAM Systems | Capgemini |
|---|---|---|
| Founded | 1993 | 1967 |
| HQ | Newtown, PA, USA | Paris, France |
| Team size | 61,000+ | 340,000+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Engineering capacity across Europe, India, and the Americas for long AI programs | Business-process outsourcing combined with agentic AI after the WNS deal |
| Pricing model | Time & materials and dedicated teams; rates on request | Outcome-based BPS contracts, fixed-scope programs, and managed services; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Azure OpenAI, AWS Bedrock, Databricks | SAP, Salesforce, Microsoft Dynamics 365 |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Media, Energy | Manufacturing, Financial services, Insurance, Energy, Public sector |
EPAM Systems vs Capgemini: overview
EPAM Systems
EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, with over 61,200 employees at the end of 2025. Acquisitions shaped the recent mix: NEORIS (2024) for Latin America and Iberia, and First Derivative (completed December 2024) for financial-services data. Management targets more than $600 million of AI-native revenue in 2026, after reporting over $105 million in Q4 2025. Its AI/Run tooling and Agentic QA product support large engineering programs more than single-workflow pilots.
Capgemini
Capgemini is a French IT services and consulting group founded in 1967, with more than 340,000 employees before its latest acquisition. It completed the $3.3 billion purchase of WNS, a business-process services firm, in October 2025, with the stated aim of selling agentic AI-run operations: finance, customer service, and procurement processes partly executed by agents. Its earlier acquisition of engineering firm Altran (2020) adds industrial depth. Buyers get global SAP, Salesforce, and Microsoft practices under one contract.
Services and capabilities: EPAM Systems vs Capgemini
| Capability | EPAM Systems | Capgemini |
|---|---|---|
| CRM / ERP integration | ✓ | ✓ |
| LLM API gateway & cost control | ✓ | ✗ |
| Document processing | ✗ | ✗ |
| Conversational AI | ✗ | ✗ |
| Agentic workflows | ✓ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✓ | ✓ |
Tech stack comparison: EPAM Systems vs Capgemini
| Framework / platform | EPAM Systems | Capgemini |
|---|---|---|
| Salesforce | N/A | ✓ |
| SAP | ✓ | ✓ |
| Microsoft Dynamics 365 | N/A | ✓ |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | N/A |
| Databricks | ✓ | N/A |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | N/A |
| Zendesk | N/A | N/A |
Pricing comparison: EPAM Systems vs Capgemini
| Criterion | EPAM Systems | Capgemini |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Time & materials, Dedicated team, Managed services | Fixed-scope project, Managed services |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs Capgemini
| Dimension | EPAM Systems | Capgemini |
|---|---|---|
| Best company size | Enterprise | Enterprise |
| Best industries | Financial services, Healthcare, Retail & e-commerce | Manufacturing, Financial services, Insurance |
| Best use cases | Large data-platform programs that end in AI features, Agent development across several business units | Agent-assisted accounts payable run as a managed process, AI features in SAP S/4HANA programs |
| Typical project type | Time & materials | Fixed-scope project |
EPAM Systems vs Capgemini: pros and cons
| EPAM Systems | |
|---|---|
| + | Engineering depth to staff many workstreams at once. |
| + | Public reporting on AI-native revenue gives a measurable view of the practice. |
| + | First Derivative added capital-markets data skills. |
| + | Agentic QA product addresses testing of AI-generated code. |
| - | Acquisition-driven growth (NEORIS, First Derivative) means teams are still being integrated |
| - | Not built for a small fixed-price pilot |
| - | Management flagged slower organic growth in 2026 guidance |
| Capgemini | |
|---|---|
| + | Can take over an entire process, not just build the integration. |
| + | SAP depth for AI inside finance and supply chain. |
| + | Altran engineering heritage for industrial clients. |
| + | Global delivery for multi-country rollouts. |
| - | Integrating WNS (acquired October 2025) is still under way |
| - | Outsourcing-style contracts are long and heavy for a first AI test |
| - | Pricing is rarely competitive for a single-workflow pilot |
Who should choose EPAM Systems?
A typical fit: large data-platform programs that end in AI features.
Engineering capacity across Europe, India, and the Americas for long AI programs. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media, Energy.
Who should choose Capgemini?
A typical fit: agent-assisted accounts payable run as a managed process.
Business-process outsourcing combined with agentic AI after the WNS deal. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Financial services, Insurance, Energy, Public sector.
Decision matrix: EPAM Systems vs Capgemini
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | Both offer managed services |
| Your budget is at the lower end | Compare: EPAM Systems (Not disclosed) vs Capgemini (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Both have CRM or ERP integration work |
| You need multi-step agents acting across systems | Both build agentic workflows |
| You need a large team for a multi-year program | Capgemini |
Use case fit: EPAM Systems vs Capgemini
| Use case | EPAM Systems fit | Capgemini fit | Winner |
|---|---|---|---|
| Large data-platform programs that end in AI features | Strong | Limited | EPAM Systems |
| Agent development across several business units | Strong | Limited | EPAM Systems |
| Agent-assisted accounts payable run as a managed process | Limited | Strong | Capgemini |
| AI features in SAP S/4HANA programs | Limited | Strong | Capgemini |
Verdict: EPAM Systems vs Capgemini
EPAM Systems (4.1/5) is the stronger overall choice for most AI Integration Services projects. Engineering capacity across Europe, India, and the Americas for long AI programs.
Capgemini (4.0/5) is worth a look if you need AI features in SAP S/4HANA programs. If your situation matches that, Capgemini is a competitive option.
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EPAM Systems vs Capgemini FAQ
Is EPAM Systems better than Capgemini?
EPAM Systems (4.1/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: engineering depth to staff many workstreams at once. Capgemini's strongest advantage: can take over an entire process, not just build the integration.
How do EPAM Systems and Capgemini differ in pricing?
EPAM Systems's pricing: time & materials and dedicated teams; rates on request. Capgemini's pricing: outcome-based BPS contracts, fixed-scope programs, and managed services; rates on request. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: EPAM Systems or Capgemini?
Capgemini is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between EPAM Systems and Capgemini?
EPAM Systems's primary differentiator is: engineering capacity across Europe, India, and the Americas for long AI programs. Capgemini's primary differentiator is: business-process outsourcing combined with agentic AI after the WNS deal. They also differ in team size (61,000+ vs 340,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Manufacturing, Financial services).
Verify all details directly with each provider before making a decision.