Top AI Integration Companies

EPAM Systems vs RTS Labs: full comparison for 2026

Quick verdict

EPAM Systems (4.3/5) edges ahead of RTS Labs (4.2/5) overall. EPAM Systems is the better choice for large enterprises with Salesforce and SAP estates. RTS Labs is the stronger option for U.S. mid-market firms with stalled AI pilots. The right choice depends on your project size, budget, and required tech stack.

EPAM Systems vs RTS Labs: head-to-head summary

Criterion EPAM Systems RTS Labs
Founded 1993 2010
HQ Newtown, PA, USA Glen Allen, VA, USA
Team size 60,000+ 51–200
Rating 4.3 / 5 4.2 / 5
Primary differentiator Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections
Pricing model T&M, dedicated teams and fixed-scope programmes; rates on request Fixed-scope assessments and builds, then T&M; rates on request
Min. engagement Not disclosed Not disclosed
Primary tech stack Salesforce, SAP, Azure OpenAI Salesforce, Snowflake, Azure OpenAI
Industries served Financial services, Healthcare & life sciences, Retail, Travel, Manufacturing Logistics, Financial services, Healthcare, Manufacturing

EPAM Systems vs RTS Labs: overview

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.

RTS Labs

RTS Labs is a U.S. software and data consultancy founded in 2010, headquartered in Glen Allen, Virginia, near Richmond. It began with custom software, Salesforce implementation and business intelligence, and now positions itself as an implementation partner that takes AI and data systems from pilot to production. It says it has more than 100 senior engineers and AI architects and deploys in 8–12 weeks (per company website; independently unverifiable). Third-party estimates put headcount at 51–100.

Services and capabilities: EPAM Systems vs RTS Labs

Capability EPAM Systems RTS Labs
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: EPAM Systems vs RTS Labs

Framework / platform EPAM Systems RTS Labs
Salesforce ✓ ✓
SAP ✓ N/A
Microsoft Dynamics 365 N/A N/A
HubSpot N/A N/A
Snowflake N/A ✓
Databricks N/A N/A
Azure OpenAI ✓ ✓
AWS Bedrock ✓ ✓
LangChain N/A N/A
ServiceNow N/A N/A

Pricing comparison: EPAM Systems vs RTS Labs

Criterion EPAM Systems RTS Labs
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed project, Time & materials, Dedicated team Fixed project, Time & materials
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: EPAM Systems vs RTS Labs

Dimension EPAM Systems RTS Labs
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Healthcare & life sciences, Retail Logistics, Financial services, Healthcare
Best use cases Agentforce and service-agent features across a large Salesforce estate., AI features in SAP Commerce storefronts and order flows. Connecting an AI agent to ERP order data for a logistics company., Rescuing a stalled proof of concept and putting it into production.
Typical project type Fixed project Fixed project

EPAM Systems vs RTS Labs: pros and cons

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
RTS Labs
+ Onshore U.S. delivery suits buyers who need data to stay with domestic staff
+ Salesforce implementation history helps when the CRM is part of the build
+ Explicit focus on production readiness, monitoring and fine-tuning after launch
+ Mid-market size keeps engagement minimums modest
- Deployment-time and client-count claims are self-reported
- Glassdoor employee reviews average about 3.0, which may point to retention issues
- Smaller bench than national consultancies

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.

Who should choose RTS Labs?

A typical fit: connecting an AI agent to ERP order data for a logistics company.

Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections. Minimum engagement is not publicly disclosed. Works best with clients in Logistics, Financial services, Healthcare, Manufacturing.

Decision matrix: EPAM Systems vs RTS Labs

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 Both
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: EPAM Systems (Not disclosed) vs RTS Labs (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 Both

Use case fit: EPAM Systems vs RTS Labs

Use case EPAM Systems fit RTS Labs fit Winner
Agentforce and service-agent features across a large Salesforce estate. Strong Limited EPAM Systems
AI features in SAP Commerce storefronts and order flows. Strong Strong Both equally
Connecting an AI agent to ERP order data for a logistics company. Limited Strong RTS Labs
Rescuing a stalled proof of concept and putting it into production. Limited Strong RTS Labs

Verdict: EPAM Systems vs RTS Labs

EPAM Systems (4.3/5) is the stronger overall choice for most AI Integration projects. Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic.

RTS Labs (4.2/5) is worth a look if you need rescuing a stalled proof of concept and putting it into production. If your situation matches that, RTS Labs is a competitive option.

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EPAM Systems vs RTS Labs FAQ

Is EPAM Systems better than RTS Labs?

EPAM Systems (4.3/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: thousands of certified Salesforce staff and a dedicated SAP Commerce bench. RTS Labs's strongest advantage: onshore U.S. delivery suits buyers who need data to stay with domestic staff.

How do EPAM Systems and RTS Labs differ in pricing?

EPAM Systems pricing: T&M, dedicated teams and fixed-scope programmes; rates on request. RTS Labs pricing: Fixed-scope assessments and builds, then T&M; rates on request. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: EPAM Systems or RTS Labs?

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 EPAM Systems and RTS Labs?

EPAM Systems's primary differentiator is: engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic. RTS Labs's primary differentiator is: onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections. They also differ in team size (60,000+ vs 51–200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare & life sciences vs Logistics, Financial services).

Verify all details directly with each company before making a decision.