EPAM Systems vs RTS Labs: full comparison for 2026
Last updated: June 2026
Quick verdict
EPAM Systems (4.5/5) edges ahead of RTS Labs (4.3/5) overall. EPAM Systems is the better choice for enterprise organisations (1,000+ employees) needing scalable AI engineering with compliance rigour, multi-region delivery, and contractual structures that enterprise procurement requires. RTS Labs is the stronger option for enterprise teams needing combined data strategy and AI agent development from a single delivery partner. 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 | 2011 |
| HQ | Newtown, PA, USA | Richmond, VA, USA |
| Team size | 50,000+ | 51–200 |
| Rating | 4.5 / 5 | 4.3 / 5 |
| Best for | Enterprise organisations (1,000+ employees) needing scalable AI engineering with compliance rigour, multi-region delivery, and contractual structures that enterprise procurement requires | Enterprise teams needing combined data strategy and AI agent development from a single delivery partner |
| Pricing model | Retainer, dedicated team, T&M | Fixed project, retainer, dedicated team |
| Min. engagement | ~$200K+ (estimated; contact for RFP) | Not disclosed |
| Primary tech stack | Azure OpenAI, AWS Bedrock, GCP Vertex AI | OpenAI, LangChain, Python |
| Industries served | Financial services, Healthcare, Insurance, Retail, Media | Supply chain, Logistics, Healthcare, Manufacturing, Financial services |
EPAM Systems vs RTS Labs: overview
EPAM Systems
EPAM Systems (NYSE: EPAM) is one of the largest engineering services companies in the world, with approximately 55,000 engineers across 50+ countries as of 2025. Founded in 1993 and headquartered in Newtown, PA, the company holds top-tier cloud partnerships: AWS Premier Consulting Partner, Microsoft Solutions Partner (Azure Expert MSP status), and Google Cloud Partner. Its dedicated AI and LLM engineering practice runs enterprise-scale agent programmes, MLOps pipelines, and compliance-sensitive deployments across financial services, healthcare, and insurance. EPAM is the natural choice when delivery scale, regulated-industry track record, and contractual enterprise procurement structures matter more than pure agentic specialisation.
RTS Labs
RTS Labs is a Richmond, Virginia-based technology and AI consultancy specialising in enterprise AI agent development, data strategy, and LLM integration. The firm focuses on moving enterprise clients from data strategy to production-grade AI deployment, with particular strength in supply chain, logistics, healthcare, and manufacturing. RTS Labs serves organisations that need both data engineering depth and AI agent capability from a single partner, avoiding the handoff complexity between a data firm and a separate AI agency.
Services and capabilities: EPAM Systems vs RTS Labs
| Capability | EPAM Systems | RTS Labs |
|---|---|---|
| Custom AI agents | ✓ | ✓ |
| Multi-agent systems | ✓ | ✓ |
| RAG pipelines | ✓ | ✓ |
| LLM integration | ✓ | ✓ |
| MLOps | ✓ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: EPAM Systems vs RTS Labs
| Framework / platform | EPAM Systems | RTS Labs |
|---|---|---|
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| CrewAI | N/A | N/A |
| LangChain | ✓ | ✓ |
| OpenAI | ✓ | ✓ |
| Anthropic Claude | N/A | N/A |
| AWS Bedrock | ✓ | N/A |
| GCP Vertex AI | ✓ | N/A |
| Azure OpenAI | ✓ | N/A |
Pricing comparison: EPAM Systems vs RTS Labs
| Criterion | EPAM Systems | RTS Labs |
|---|---|---|
| Minimum engagement | ~$200K+ (estimated; contact for RFP) | Not disclosed |
| Engagement models | Retainer, Dedicated team, Time and materials | Fixed project, Retainer, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | 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, Insurance | Supply chain, Logistics, Healthcare |
| Best use cases | Enterprise AI agent programmes at scale, Compliance-sensitive AI deployments (regulated industries) | Supply chain and logistics AI agent automation, Healthcare workflow agents with data pipeline integration |
| Typical project type | Retainer | Fixed project |
EPAM Systems vs RTS Labs: pros and cons
| EPAM Systems | |
|---|---|
| + | Largest engineering capacity on this list; can staff multi-team AI programmes |
| + | Top-tier cloud partnerships: AWS Premier, Azure Expert MSP, Google Cloud Partner |
| + | Strong compliance and regulatory expertise (HIPAA, SOC 2, ISO standards) |
| + | Geographic coverage across 50+ countries; suited to multi-region delivery requirements |
| + | Mature MLOps, DevSecOps, and enterprise security practices |
| - | Enterprise pricing: minimum engagement ~$200K+; not competitive for projects under that threshold |
| - | AI practice sits within a very large generalised portfolio; confirm AI team seniority during scoping |
| - | Slower project starts and higher overhead than boutique specialists |
| - | Less framework agility: focuses on major cloud AI platforms over specialist OSS stacks |
| RTS Labs | |
|---|---|
| + | Combines data strategy and AI agent delivery in one firm |
| + | Strong supply chain and logistics AI track record |
| + | US-based team for easy collaboration with North American enterprises |
| - | Mid-size team — limited for very large enterprise programmes |
| - | Less suited to startup or sub-$50K engagements |
Who should choose EPAM Systems?
EPAM Systems is the right choice for enterprise organisations (1,000+ employees) needing scalable AI engineering with compliance rigour, multi-region delivery, and contractual structures that enterprise procurement requires.
55,000+ engineers, top-tier partnerships with AWS / Azure / GCP, and a track record in compliance-sensitive regulated-industry AI deployments. Minimum engagement starts at ~$200K+ (estimated; contact for RFP). Works best with clients in Financial services, Healthcare, Insurance, Retail, Media.
Who should choose RTS Labs?
RTS Labs is the right choice for enterprise teams needing combined data strategy and AI agent development from a single delivery partner.
Data strategy and AI agent development in one firm; supply chain and logistics AI depth. Minimum engagement starts at Not disclosed. Works best with clients in Supply chain, Logistics, Healthcare, Manufacturing, Financial services.
Decision matrix: EPAM Systems vs RTS Labs
| Your situation | Recommended choice |
|---|---|
| You need production-ready AI agents with full delivery ownership | EPAM Systems |
| You have a budget over $200K and need enterprise-scale delivery | Consider EPAM Systems for very large programmes |
| You need a fixed-price project with a well-defined scope | RTS Labs |
| You need AI engineers assembled within days | Consider Turing for speed of team assembly |
| You need healthcare AI with compliance expertise | Consider SoftServe for deep healthcare AI |
| Your budget is under $30K | Consider SoluLab ($15K) or Appinventiv ($20K) |
| You want multi-agent LangGraph architecture | Consider Tensorway or Leewayhertz |
| You need RAG over proprietary knowledge bases | Both EPAM Systems and RTS Labs cover RAG |
Use case fit: EPAM Systems vs RTS Labs
| Use case | EPAM Systems fit | RTS Labs fit | Winner |
|---|---|---|---|
| Autonomous AI agents | Limited | Limited | Both equally |
| RAG knowledge systems | Limited | Limited | Both equally |
| Enterprise compliance AI | Strong | Strong | Both equally |
| Healthcare AI | Limited | Strong | RTS Labs |
| Startup AI MVP | Limited | Limited | Both equally |
| Staff augmentation | Strong | Limited | EPAM Systems |
Verdict: EPAM Systems vs RTS Labs
EPAM Systems (4.5/5) is the stronger overall choice for most AI agent development projects in 2026. 55,000+ engineers, top-tier partnerships with AWS / Azure / GCP, and a track record in compliance-sensitive regulated-industry AI deployments. It is best for enterprise organisations (1,000+ employees) needing scalable AI engineering with compliance rigour, multi-region delivery, and contractual structures that enterprise procurement requires.
RTS Labs (4.3/5) is the better choice when enterprise teams needing combined data strategy and AI agent development from a single delivery partner. If your situation matches those criteria, RTS Labs is a competitive option.
Related comparisons
EPAM Systems vs RTS Labs FAQ
Is EPAM Systems better than RTS Labs?
EPAM Systems (4.5/5) scores higher overall, but "better" depends on your use case. EPAM Systems is better for enterprise organisations (1,000+ employees) needing scalable AI engineering with compliance rigour, multi-region delivery, and contractual structures that enterprise procurement requires. RTS Labs is better for enterprise teams needing combined data strategy and AI agent development from a single delivery partner.
How do EPAM Systems and RTS Labs differ in pricing?
EPAM Systems uses retainer, dedicated team, t&m pricing with a minimum engagement of ~$200K+ (estimated; contact for RFP). RTS Labs uses fixed project, retainer, dedicated team pricing with a minimum engagement of Not disclosed. 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?
Neither is the better enterprise choice due to team size and compliance capabilities. For large-scale enterprise AI programmes with multi-region requirements, EPAM Systems (10,000+ engineers) is worth evaluating alongside both firms.
What are the main differences between EPAM Systems and RTS Labs?
EPAM Systems's primary differentiator is: 55,000+ engineers, top-tier partnerships with aws / azure / gcp, and a track record in compliance-sensitive regulated-industry ai deployments. RTS Labs's primary differentiator is: data strategy and ai agent development in one firm; supply chain and logistics ai depth. They also differ in team size (50,000+ vs 51–200), minimum engagement (~$200K+ (estimated; contact for RFP) vs Not disclosed), and primary industries served (Financial services, Healthcare vs Supply chain, Logistics).
Last reviewed: June 2026. Verify all details directly with each company before making a decision.