RTS Labs vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
RTS Labs (4.2/5) edges ahead of EPAM Systems (3.9/5) overall. RTS Labs is the better choice for mid-sized businesses in financial services or healthcare making their first serious investment in production ML. EPAM Systems is the stronger option for large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering. 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 | 2012 | 1993 |
| HQ | Richmond, VA, USA | Newtown, PA, USA |
| Team size | 50–200 | 58,000+ |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Best for | Mid-sized businesses in financial services or healthcare making their first serious investment in production ML | Large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering |
| Pricing model | Fixed project, T&M | T&M, Dedicated team |
| Min. engagement | $25K | $100K |
| Primary tech stack | Python, AWS, Azure | Python, TensorFlow, PyTorch |
| Industries served | Financial Services / Fintech, Healthcare, Technology / SaaS, Logistics | Financial Services, Healthcare, Technology / SaaS, Media / Entertainment, Logistics, Retail / E-commerce |
RTS Labs vs EPAM Systems: overview
RTS Labs
RTS Labs is a Virginia-based applied AI and data consultancy founded in 2012, recognised in 2026 as the top machine learning consultant in the United States for mid-sized businesses by multiple industry ranking platforms. The company focuses on building custom ML models and data pipelines specifically for financial services and healthcare clients, with an emphasis on delivering AI tools and analytics that help mid-market organisations compete against larger rivals with dedicated data science teams. RTS Labs covers AI agents, custom model development, data engineering, and AI readiness assessments, positioning itself as an accessible entry point for organisations that are beginning to operationalise ML.
EPAM Systems
EPAM Systems is a global digital transformation services company founded in 1993 and headquartered in Newtown, Pennsylvania, with over 58,000 professionals worldwide. It was ranked among the top three tech and AI companies on Glassdoor's Best Places to Work 2026. EPAM's AI and ML practice covers custom ML development, data engineering, generative AI, MLOps, and staff augmentation, delivered across financial services, healthcare, media, SaaS, and logistics. EPAM is best suited to enterprises needing a large-scale delivery partner with the governance, compliance, and programme management infrastructure of a major consultancy at software engineering rates.
Services and capabilities: RTS Labs vs EPAM Systems
| Capability | RTS Labs | EPAM Systems |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Deep learning | ✗ | ✗ |
| NLP / Text analytics | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| MLOps & deployment | ✗ | ✓ |
| Generative AI | ✓ | ✓ |
| AI strategy | ✓ | ✓ |
| Staff augmentation | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✗ | ✓ |
Tech stack comparison: RTS Labs vs EPAM Systems
| Framework / platform | RTS Labs | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | N/A | ✓ |
| AWS | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
| Databricks | N/A | ✓ |
| MLflow | N/A | N/A |
Pricing comparison: RTS Labs vs EPAM Systems
| Criterion | RTS Labs | EPAM Systems |
|---|---|---|
| Minimum engagement | $25K | $100K |
| Engagement models | Fixed project, Time & materials | Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: RTS Labs vs EPAM Systems
| Dimension | RTS Labs | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services / Fintech, Healthcare, Technology / SaaS | Financial Services, Healthcare, Technology / SaaS |
| Best use cases | AI readiness assessment and ML roadmap for mid-market organisations beginning their data science journey, Custom credit scoring or underwriting ML models for community banks and fintech startups | Enterprise-scale ML platform build requiring 50+ engineers across data engineering, ML, and MLOps tracks simultaneously, Global digital transformation programmes embedding ML into enterprise software at multiple business units |
| Typical project type | Fixed project | Time & materials |
RTS Labs vs EPAM Systems: pros and cons
| RTS Labs | |
|---|---|
| + | Named top US ML consultant for mid-sized businesses in 2026 by multiple ranking platforms |
| + | US-based delivery ensures timezone alignment and regulatory familiarity for healthcare and BFSI clients |
| + | AI readiness assessment service provides a structured low-risk entry point before committing to full build |
| + | Accessible $25K minimum enables mid-market organisations to start without enterprise-level investment |
| + | Domain depth in financial services and healthcare reduces onboarding time on regulated-industry projects |
| - | Smaller team limits depth for complex simultaneous engagements or very large data infrastructure builds |
| - | US-only delivery means higher blended rates than Eastern European or Indian competitors at equivalent quality |
| - | Less portfolio breadth outside financial services and healthcare compared to generalist firms |
| EPAM Systems | |
|---|---|
| + | 58,000+ engineers provide unmatched concurrent delivery capacity for large-scale enterprise ML programmes |
| + | Glassdoor top-3 Best Tech & AI Company 2026 reflects high engineering talent quality and retention |
| + | Full global delivery footprint enables follow-the-sun support and multi-geography data processing compliance |
| + | Strong programme management and governance infrastructure reduces enterprise delivery risk on complex projects |
| + | ML capability combined with broader digital transformation services reduces vendor proliferation for enterprise buyers |
| - | $100K minimum and large-firm overhead pricing makes EPAM less suitable for mid-market or startup buyers |
| - | ML specialisation depth is diluted by the breadth of a 58,000-person general technology firm |
| - | Large firm bureaucracy and account management layers can slow decision-making on agile ML projects |
Who should choose RTS Labs?
RTS Labs is the right choice for mid-sized businesses in financial services or healthcare making their first serious investment in production ML.
Named top US ML consultant for mid-market businesses in 2026 — focused entry point with accessible minimums and healthcare/fintech domain depth. Minimum engagement starts at $25K. Works best with clients in Financial Services / Fintech, Healthcare, Technology / SaaS, Logistics.
Who should choose EPAM Systems?
EPAM Systems is the right choice for large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering.
Global scale with 58,000+ engineers and top-3 Glassdoor AI company ranking — rare ML delivery capacity for simultaneous large enterprise programmes. Minimum engagement starts at $100K. Works best with clients in Financial Services, Healthcare, Technology / SaaS, Media / Entertainment, Logistics, Retail / E-commerce.
Decision matrix: RTS Labs vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | RTS Labs |
| You need a large dedicated team for an ongoing programme | EPAM Systems |
| Your budget is at the lower end | RTS Labs |
| You need specialist depth in a specific vertical | EPAM Systems |
| You need staff augmentation or team extension | EPAM Systems |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: RTS Labs vs EPAM Systems
| Use case | RTS Labs fit | EPAM Systems fit | Winner |
|---|---|---|---|
| AI readiness assessment and ML roadmap for mid-market organisations beginning their data science journey | Strong | Strong | Both equally |
| Custom credit scoring or underwriting ML models for community banks and fintech startups | Strong | Limited | RTS Labs |
| Enterprise-scale ML platform build requiring 50+ engineers across data engineering, ML, and MLOps tracks simultaneously | Limited | Strong | EPAM Systems |
| Global digital transformation programmes embedding ML into enterprise software at multiple business units | Limited | Strong | EPAM Systems |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | EPAM Systems |
Verdict: RTS Labs vs EPAM Systems
RTS Labs (4.2/5) is the stronger overall choice for most Machine Learning projects. Named top US ML consultant for mid-market businesses in 2026 — focused entry point with accessible minimums and healthcare/fintech domain depth. It is best for mid-sized businesses in financial services or healthcare making their first serious investment in production ML.
EPAM Systems (3.9/5) is the better choice when large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering. If your situation matches those criteria, EPAM Systems is a competitive option.
Related comparisons
RTS Labs vs EPAM Systems FAQ
Is RTS Labs better than EPAM Systems?
RTS Labs (4.2/5) scores higher overall, but "better" depends on your use case. RTS Labs is better for mid-sized businesses in financial services or healthcare making their first serious investment in production ML. EPAM Systems is better for large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering.
How do RTS Labs and EPAM Systems differ in pricing?
RTS Labs uses fixed project, t&m pricing with a minimum engagement of $25K. EPAM Systems uses t&m, dedicated team pricing with a minimum engagement of $100K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
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 agency before shortlisting.
What are the main differences between RTS Labs and EPAM Systems?
RTS Labs's primary differentiator is: named top us ml consultant for mid-market businesses in 2026 — focused entry point with accessible minimums and healthcare/fintech domain depth. EPAM Systems's primary differentiator is: global scale with 58,000+ engineers and top-3 glassdoor ai company ranking — rare ml delivery capacity for simultaneous large enterprise programmes. They also differ in team size (50–200 vs 58,000+), minimum engagement ($25K vs $100K), and primary industries served (Financial Services / Fintech, Healthcare vs Financial Services, Healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.