EPAM Systems
Global engineering firm with Salesforce and SAP practices and a 2026 partnership with Anthropic
What is EPAM Systems?
EPAM Systems is a NYSE-listed software engineering services company founded in 1993 in Princeton, New Jersey, and now headquartered in Newtown, Pennsylvania, with roughly 62,000 employees in more than 55 countries. It runs large Salesforce and SAP Commerce practices and bought Netherlands-based Just-BI to deepen its SAP consulting. In May 2026 it announced a multi-year partnership with Anthropic and a plan to certify more than 10,000 architects on Claude. Its AI/RUN platform is used to package enterprise deployments.
EPAM Systems works primarily with clients in Financial services, Healthcare & life sciences, Retail, Travel, Manufacturing sectors. Its primary differentiator is: Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic.
EPAM Systems tech stack and services
| Service area |
|---|
| CRM Integration |
| ERP Integration |
| LLM API Integration |
| Agentic AI |
| Salesforce Partner |
| SAP Partner |
EPAM Systems pricing
Short answer: T&M, dedicated teams and fixed-scope programmes; rates on request. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From not disclosed | Well-defined scope |
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
EPAM Systems pros and cons
| Advantages | Things to consider |
|---|---|
| +Thousands of certified Salesforce staff and a dedicated SAP Commerce bench | -Scale and account structure favour large, multi-year engagements |
| +Formal model-provider partnership gives early access and support for Claude-based builds | -Delivery staff numbers for specific platforms come partly from older announcements |
| +Engineering rigor suited to complex, multi-system integrations | -Advice tends to lead toward EPAM-delivered builds |
| +Large nearshore delivery in Central Europe and Latin America |
EPAM Systems vs alternatives
How EPAM Systems compares to the other top AI Integration companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market firms adding AI to existing CRM and... | Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call | 4.8 | Full comparison |
| Provectus | AWS-based companies needing data work before AI. | Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team | 4.6 | Full comparison |
| Slalom | Salesforce-centric enterprises, Data Cloud and Agentforce. | Partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack | 4.6 | Full comparison |
| Neurons Lab | Banks and insurers piloting agentic AI under regulation. | Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation | 4.5 | Full comparison |
| TTMS | Pharma and regulated firms on Salesforce or Microsoft... | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | 4.5 | Full comparison |
| Avanade | Microsoft-standardized enterprises rolling out Copilot. | A Microsoft-only practice of about 59,000 people covering Dynamics 365, Azure OpenAI and Copilot governance | 4.4 | Full comparison |
| deepsense.ai | Engineering teams wanting a strong RAG partner. | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets | 4.4 | Full comparison |
| Addepto | Data teams needing warehouse work before an LLM... | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | 4.3 | Full comparison |
| Vstorm | Teams wanting agents they will own and maintain. | Agent specialists who hand over a production system the client team can maintain without them | 4.3 | Full comparison |
| Quantiphi | Google Cloud estates, high-volume document AI. | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | 4.3 | Full comparison |
| Grid Dynamics | Retailers adding AI to commerce and supply chain... | Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting | 4.3 | Full comparison |
| Accenture | Global enterprises with multi-country compliance needs. | Scale and compliance coverage across every major platform, region and regulator | 4.2 | Full comparison |
| Perficient | Marketing and service teams on Adobe or Salesforce. | Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft | 4.2 | Full comparison |
| Azumo | Budget-conscious U.S. teams, time-zone-aligned. | U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point | 4.2 | Full comparison |
| RTS Labs | U.S. mid-market firms with stalled AI pilots. | Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections | 4.2 | Full comparison |
| Thoughtworks | Engineering-led firms that value delivery practice. | Long-standing engineering discipline, testing and continuous delivery applied to AI features | 4.1 | Full comparison |
| InData Labs | Mid-size firms needing forecasting and data science. | Data-science-led team that builds predictive models alongside generative features | 4.1 | Full comparison |
| Master of Code Global | Consumer brands building chat and voice assistants. | Two decades of conversational design work for consumer brands, now applied to LLM-based assistants | 4.1 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade AI controls. | Risk and governance expertise next to SAP and Oracle integration teams in one firm | 4.1 | Full comparison |
| IBM Consulting | Enterprises already committed to IBM watsonx. | Prebuilt connectors in watsonx Orchestrate plus IBM's own governance tooling | 4.0 | Full comparison |
| Globant | Firms wanting subscription-priced AI capacity. | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour | 4.0 | Full comparison |
| N-iX | Larger programmes needing an Eastern European team. | Large Central and Eastern European engineering bench with data-platform experience | 4.0 | Full comparison |
| ScienceSoft | Healthcare and finance firms wanting one IT vendor. | Long-established generalist covering both the surrounding software and the AI feature | 4.0 | Full comparison |
| Itransition | Cost-sensitive buyers wanting a large generalist. | Low published rates combined with a large engineering pool | 3.9 | Full comparison |
| Miquido | Product teams adding AI to customer-facing apps. | Product design and mobile engineering applied to AI features in apps | 3.9 | Full comparison |
| Markovate | Startups wanting a quick generative AI build. | Generative AI app builds for startups with a fast proof-of-concept focus | 3.9 | Full comparison |
| LeewayHertz | Buyers open to a platform-led ZBrain build. | Builds on its own ZBrain low-code platform, now backed by The Hackett Group | 3.8 | Full comparison |
EPAM Systems FAQ
What is EPAM Systems?
Global engineering firm with Salesforce and SAP practices and a 2026 partnership with Anthropic
How much does EPAM Systems charge?
Pricing at EPAM Systems: T&M, dedicated teams and fixed-scope programmes; rates on request. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does EPAM Systems use?
EPAM Systems works with Salesforce, SAP, Azure OpenAI, AWS Bedrock, Google Vertex AI, Claude. Primary industries served include Financial services, Healthcare & life sciences, Retail, Travel, Manufacturing.
Is EPAM Systems right for enterprise?
Large enterprises with Salesforce and SAP estates. 60,000+ team size. Key consideration: Scale and account structure favour large, multi-year engagements.
What are the best EPAM Systems alternatives?
The best alternatives to EPAM Systems depend on your use case. Top options are:
- Tensorway: integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call
- Provectus: pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team
- Slalom: partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack
Compare EPAM Systems with other AI Integration companies
Verify all details directly with EPAM Systems before making a decision.