Perficient vs EPAM Systems: full comparison for 2026
Quick verdict
Perficient (4.2/5) edges ahead of EPAM Systems (4.1/5) overall. Perficient is the better choice for mid-market Salesforce or Microsoft customers. EPAM Systems is the stronger option for enterprises with multi-year engineering budgets. The right choice depends on your project size, budget, and required tech stack.
Perficient vs EPAM Systems: head-to-head summary
| Criterion | Perficient | EPAM Systems |
|---|---|---|
| Founded | 1997 | 1993 |
| HQ | St. Louis, MO, USA | Newtown, PA, USA |
| Team size | ~7,000 | 61,000+ |
| Rating | 4.2 / 5 | 4.1 / 5 |
| Primary differentiator | Agentforce capability expanded through the Kelley Austin acquisition | Engineering capacity across Europe, India, and the Americas for long AI programs |
| Pricing model | Fixed-scope projects, time & materials, and managed services; rates on request | Time & materials and dedicated teams; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, Agentforce, Microsoft Dynamics 365 | Azure OpenAI, AWS Bedrock, Databricks |
| Industries served | Healthcare, Financial services, Manufacturing, Retail & e-commerce | Financial services, Healthcare, Retail & e-commerce, Media, Energy |
Perficient vs EPAM Systems: overview
Perficient
Perficient is a digital consultancy founded in 1997, headquartered in St. Louis, with about 7,000 employees. Private-equity firm EQT took it private in October 2024 in a deal valued around $3 billion. In October 2025 it bought Dallas-based Salesforce partner Kelley Austin to add Agentforce, Data Cloud, and Revenue Cloud skills, and it has a broad partnership with Salesforce on agentic AI. IDC included its mid-market Salesforce practice in a 2025–2026 MarketScape report.
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.
Services and capabilities: Perficient vs EPAM Systems
| Capability | Perficient | EPAM Systems |
|---|---|---|
| CRM / ERP integration | ✓ | ✓ |
| LLM API gateway & cost control | ✗ | ✓ |
| Document processing | ✗ | ✗ |
| Conversational AI | ✗ | ✗ |
| Agentic workflows | ✓ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✓ | ✓ |
Tech stack comparison: Perficient vs EPAM Systems
| Framework / platform | Perficient | EPAM Systems |
|---|---|---|
| Salesforce | ✓ | N/A |
| SAP | N/A | ✓ |
| Microsoft Dynamics 365 | ✓ | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | N/A | ✓ |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: Perficient vs EPAM Systems
| Criterion | Perficient | EPAM Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Managed services | Time & materials, Dedicated team, Managed services |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Perficient vs EPAM Systems
| Dimension | Perficient | EPAM Systems |
|---|---|---|
| Best company size | Mid-market to enterprise | Enterprise |
| Best industries | Healthcare, Financial services, Manufacturing | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Agentforce deployments for mid-market sales teams, Revenue Cloud and Data Cloud work ahead of AI features | Large data-platform programs that end in AI features, Agent development across several business units |
| Typical project type | Fixed-scope project | Time & materials |
Perficient vs EPAM Systems: pros and cons
| Perficient | |
|---|---|
| + | Salesforce and Microsoft practices under one roof. |
| + | Kelley Austin brought 400+ additional Salesforce certifications. |
| + | Mid-market Salesforce work is a stated focus. |
| + | Managed services are available for platforms it implements. |
| - | Private-equity owned (EQT) and actively acquiring, which can mean shifting teams |
| - | Generalist digital firm whose AI work is one practice among many |
| - | Leadership reports conflict across sources after the take-private |
| 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 |
Who should choose Perficient?
A typical fit: agentforce deployments for mid-market sales teams.
Agentforce capability expanded through the Kelley Austin acquisition. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Manufacturing, Retail & e-commerce.
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.
Decision matrix: Perficient vs EPAM Systems
| 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: Perficient (Not disclosed) vs EPAM Systems (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 | EPAM Systems |
Use case fit: Perficient vs EPAM Systems
| Use case | Perficient fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Agentforce deployments for mid-market sales teams | Strong | Limited | Perficient |
| Revenue Cloud and Data Cloud work ahead of AI features | Strong | Limited | Perficient |
| Large data-platform programs that end in AI features | Limited | Strong | EPAM Systems |
| Agent development across several business units | Limited | Strong | EPAM Systems |
Verdict: Perficient vs EPAM Systems
Perficient (4.2/5) is the stronger overall choice for most AI Integration Services projects. Agentforce capability expanded through the Kelley Austin acquisition.
EPAM Systems (4.1/5) is worth a look if you need agent development across several business units. If your situation matches that, EPAM Systems is a competitive option.
Related comparisons
Perficient vs EPAM Systems FAQ
Is Perficient better than EPAM Systems?
Perficient (4.2/5) scores higher overall, but "better" depends on your use case. Perficient's strongest advantage: salesforce and Microsoft practices under one roof. EPAM Systems's strongest advantage: engineering depth to staff many workstreams at once.
How do Perficient and EPAM Systems differ in pricing?
Perficient's pricing: fixed-scope projects, time & materials, and managed services; rates on request. EPAM Systems's pricing: time & materials and dedicated teams; 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: Perficient or EPAM Systems?
EPAM Systems 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 Perficient and EPAM Systems?
Perficient's primary differentiator is: agentforce capability expanded through the Kelley Austin acquisition. EPAM Systems's primary differentiator is: engineering capacity across Europe, India, and the Americas for long AI programs. They also differ in team size (~7,000 vs 61,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Financial services vs Financial services, Healthcare).
Verify all details directly with each provider before making a decision.