Quantiphi vs EPAM Systems: full comparison for 2026
Quick verdict
Quantiphi (4.3/5) edges ahead of EPAM Systems (4.3/5) overall. Quantiphi is the better choice for google Cloud estates, high-volume document AI. EPAM Systems is the stronger option for large enterprises with Salesforce and SAP estates. The right choice depends on your project size, budget, and required tech stack.
Quantiphi vs EPAM Systems: head-to-head summary
| Criterion | Quantiphi | EPAM Systems |
|---|---|---|
| Founded | 2013 | 1993 |
| HQ | Marlborough, MA, USA | Newtown, PA, USA |
| Team size | 3,500+ | 60,000+ |
| Rating | 4.3 / 5 | 4.3 / 5 |
| Primary differentiator | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic |
| Pricing model | Fixed-price and T&M with offshore-weighted rates; rates on request | T&M, dedicated teams and fixed-scope programmes; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Google Vertex AI, Google Document AI, AWS Bedrock | Salesforce, SAP, Azure OpenAI |
| Industries served | Healthcare, Insurance, Financial services, Public sector, Media | Financial services, Healthcare & life sciences, Retail, Travel, Manufacturing |
Quantiphi vs EPAM Systems: overview
Quantiphi
Quantiphi is an AI-first digital engineering firm founded in 2013, with U.S. headquarters in Marlborough, Massachusetts and most of its delivery staff in India. It employs about 3,500–4,000 people and holds premier-level partnerships with Google Cloud and AWS, plus many partner-of-the-year awards (exact counts differ across its own pages). Document AI, contact-centre AI and data modernization make up much of its published work.
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.
Services and capabilities: Quantiphi vs EPAM Systems
| Capability | Quantiphi | EPAM Systems |
|---|---|---|
| CRM / ERP integration | ✗ | ✓ |
| LLM API gateway & cost control | ✗ | ✓ |
| Document processing | ✓ | ✗ |
| Agentic workflows | ✗ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✗ |
| PII masking & access control | ✗ | ✗ |
Tech stack comparison: Quantiphi vs EPAM Systems
| Framework / platform | Quantiphi | EPAM Systems |
|---|---|---|
| Salesforce | N/A | ✓ |
| SAP | N/A | ✓ |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | N/A |
| Databricks | ✓ | N/A |
| Azure OpenAI | N/A | ✓ |
| AWS Bedrock | ✓ | ✓ |
| LangChain | N/A | N/A |
| ServiceNow | N/A | N/A |
Pricing comparison: Quantiphi vs EPAM Systems
| Criterion | Quantiphi | EPAM Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Time & materials, Dedicated team | Fixed project, Time & materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Quantiphi vs EPAM Systems
| Dimension | Quantiphi | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Insurance, Financial services | Financial services, Healthcare & life sciences, Retail |
| Best use cases | Insurance claims intake with Document AI extraction and human review., Contact-centre AI on Google Cloud for a high-volume support operation. | Agentforce and service-agent features across a large Salesforce estate., AI features in SAP Commerce storefronts and order flows. |
| Typical project type | Fixed project | Fixed project |
Quantiphi vs EPAM Systems: pros and cons
| Quantiphi | |
|---|---|
| + | Rare dual premier status with Google Cloud and AWS |
| + | Mature document AI practice for claims, forms and medical records |
| + | India-weighted delivery keeps blended rates below U.S. consultancies |
| + | Can scale teams quickly for large backlogs |
| - | Award and partner counts vary between its own pages, so confirm current tiers in partner directories |
| - | Offshore-heavy delivery needs strong client-side product ownership |
| - | Less visible work inside Salesforce or SAP |
| EPAM Systems | |
|---|---|
| + | Thousands of certified Salesforce staff and a dedicated SAP Commerce bench |
| + | Formal model-provider partnership gives early access and support for Claude-based builds |
| + | Engineering rigor suited to complex, multi-system integrations |
| + | Large nearshore delivery in Central Europe and Latin America |
| - | Scale and account structure favour large, multi-year engagements |
| - | Delivery staff numbers for specific platforms come partly from older announcements |
| - | Advice tends to lead toward EPAM-delivered builds |
Who should choose Quantiphi?
A typical fit: insurance claims intake with Document AI extraction and human review.
Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Insurance, Financial services, Public sector, Media.
Who should choose EPAM Systems?
A typical fit: agentforce and service-agent features across a large Salesforce estate.
Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare & life sciences, Retail, Travel, Manufacturing.
Decision matrix: Quantiphi vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You want a fixed-price audit or pilot before committing | Neither advertises one; ask for a scoped pilot |
| AI has to work inside your existing CRM or ERP | EPAM Systems |
| Personal data must be masked and answers limited by user permissions | Ask both for their PII and access-control design |
| Your budget is at the lower end | Compare: Quantiphi (Not disclosed) vs EPAM Systems (Not disclosed) |
| You want the vendor to run the AI service after launch | Neither offers managed services; plan in-house operations |
| You are building multi-step agents across systems | EPAM Systems |
Use case fit: Quantiphi vs EPAM Systems
| Use case | Quantiphi fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Insurance claims intake with Document AI extraction and human review. | Strong | Limited | Quantiphi |
| Contact-centre AI on Google Cloud for a high-volume support operation. | Strong | Limited | Quantiphi |
| Agentforce and service-agent features across a large Salesforce estate. | Limited | Strong | EPAM Systems |
| AI features in SAP Commerce storefronts and order flows. | Strong | Strong | Both equally |
Verdict: Quantiphi vs EPAM Systems
Quantiphi (4.3/5) is the stronger overall choice for most AI Integration projects. Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments.
EPAM Systems (4.3/5) is worth a look if you need AI features in SAP Commerce storefronts and order flows. If your situation matches that, EPAM Systems is a competitive option.
Related comparisons
Quantiphi vs EPAM Systems FAQ
Is Quantiphi better than EPAM Systems?
Quantiphi (4.3/5) scores higher overall, but "better" depends on your use case. Quantiphi's strongest advantage: rare dual premier status with Google Cloud and AWS. EPAM Systems's strongest advantage: thousands of certified Salesforce staff and a dedicated SAP Commerce bench.
How do Quantiphi and EPAM Systems differ in pricing?
Quantiphi pricing: Fixed-price and T&M with offshore-weighted rates; rates on request. EPAM Systems pricing: T&M, dedicated teams and fixed-scope programmes; rates on request. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Quantiphi 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 company before shortlisting.
What are the main differences between Quantiphi and EPAM Systems?
Quantiphi's primary differentiator is: premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments. EPAM Systems's primary differentiator is: engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic. They also differ in team size (3,500+ vs 60,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Insurance vs Financial services, Healthcare & life sciences).
Verify all details directly with each company before making a decision.