RTS Labs vs EPAM Systems: full comparison for 2026
Quick verdict
RTS Labs (4.4/5) edges ahead of EPAM Systems (4.1/5) overall. RTS Labs is the better choice for U.S. firms needing onshore-only delivery. 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.
RTS Labs vs EPAM Systems: head-to-head summary
| Criterion | RTS Labs | EPAM Systems |
|---|---|---|
| Founded | 2010 | 1993 |
| HQ | Richmond, VA, USA | Newtown, PA, USA |
| Team size | 100+ | 61,000+ |
| Rating | 4.4 / 5 | 4.1 / 5 |
| Primary differentiator | All-U.S. engineering team and early MCP integration work | Engineering capacity across Europe, India, and the Americas for long AI programs |
| Pricing model | Fixed-scope phases and time & materials; rates on request | Time & materials and dedicated teams; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, Microsoft Dynamics 365, Snowflake | Azure OpenAI, AWS Bedrock, Databricks |
| Industries served | Logistics, Insurance, Legal, Financial services, Real estate, Healthcare | Financial services, Healthcare, Retail & e-commerce, Media, Energy |
RTS Labs vs EPAM Systems: overview
RTS Labs
RTS Labs has been building software since 2010 from Richmond, Virginia, and now positions itself as an applied-AI consultancy. Its 100-plus staff are all U.S.-based, which matters for clients that can't send data or system access offshore. The firm says it has shipped over 600 software and AI systems and that core implementations usually reach production in 8–12 weeks (per company website; independently unverifiable). It's also one of the few mid-size firms publicly building Model Context Protocol (MCP) server integrations for enterprise tools.
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: RTS Labs vs EPAM Systems
| Capability | RTS Labs | 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: RTS Labs vs EPAM Systems
| Framework / platform | RTS Labs | 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 | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: RTS Labs vs EPAM Systems
| Criterion | RTS Labs | 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: RTS Labs vs EPAM Systems
| Dimension | RTS Labs | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Logistics, Insurance, Legal | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Connecting an agent to a TMS (transportation management system) and ERP for freight exceptions, Building MCP servers so assistants can query internal tools | Large data-platform programs that end in AI features, Agent development across several business units |
| Typical project type | Fixed-scope project | Time & materials |
RTS Labs vs EPAM Systems: pros and cons
| RTS Labs | |
|---|---|
| + | Every engineer is U.S.-based, which simplifies data-residency and security reviews. |
| + | MCP server work lets agents call internal tools through one standard interface. |
| + | Logistics and insurance case work ties AI into operational systems. |
| + | Offers ongoing support once a system is live. |
| - | Onshore-only staffing means higher rates than nearshore firms |
| - | Its published timelines vary between 90 days and 8–12 weeks depending on the page |
| - | No hyperscaler partner tier is prominent in its materials |
| 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 RTS Labs?
A typical fit: connecting an agent to a TMS (transportation management system) and ERP for freight exceptions.
All-U.S. engineering team and early MCP integration work. Minimum engagement is not publicly disclosed. Works best with clients in Logistics, Insurance, Legal, Financial services, Real estate, Healthcare.
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: RTS Labs 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: RTS Labs (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: RTS Labs vs EPAM Systems
| Use case | RTS Labs fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Connecting an agent to a TMS (transportation management system) and ERP for freight exceptions | Strong | Limited | RTS Labs |
| Building MCP servers so assistants can query internal tools | Strong | Limited | RTS Labs |
| Large data-platform programs that end in AI features | Limited | Strong | EPAM Systems |
| Agent development across several business units | Limited | Strong | EPAM Systems |
Verdict: RTS Labs vs EPAM Systems
RTS Labs (4.4/5) is the stronger overall choice for most AI Integration Services projects. All-U.S. engineering team and early MCP integration work.
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
RTS Labs vs EPAM Systems FAQ
Is RTS Labs better than EPAM Systems?
RTS Labs (4.4/5) scores higher overall, but "better" depends on your use case. RTS Labs's strongest advantage: every engineer is U.S.-based, which simplifies data-residency and security reviews. EPAM Systems's strongest advantage: engineering depth to staff many workstreams at once.
How do RTS Labs and EPAM Systems differ in pricing?
RTS Labs's pricing: fixed-scope phases and time & materials; 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: RTS Labs 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 RTS Labs and EPAM Systems?
RTS Labs's primary differentiator is: All-U.S. engineering team and early MCP integration work. EPAM Systems's primary differentiator is: engineering capacity across Europe, India, and the Americas for long AI programs. They also differ in team size (100+ vs 61,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Logistics, Insurance vs Financial services, Healthcare).
Verify all details directly with each provider before making a decision.