RTS Labs vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
RTS Labs (4.5/5) edges ahead of EPAM Systems (3.8/5) overall. RTS Labs is the better choice for high-growth US companies that have done ML experiments and now need a partner accountable for production outcomes. EPAM Systems is the stronger option for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation. 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 | Newtown, PA |
| Team size | 50–200 | 50,000+ |
| Rating | 4.5 / 5 | 3.8 / 5 |
| Best for | High-growth US companies that have done ML experiments and now need a partner accountable for production outcomes | Global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation |
| Pricing model | Fixed project, T&M | Dedicated team, T&M |
| Min. engagement | $25K | ~$200K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | Healthcare & Life Sciences, Financial Services, Manufacturing & Industrial, Logistics & Supply Chain | Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial, Media & Entertainment, Retail & E-commerce |
RTS Labs vs EPAM Systems: overview
RTS Labs
RTS Labs is an enterprise AI consulting firm founded in 2010 and headquartered in Richmond, Virginia. The company positions itself as a boutique applied AI partner for high-growth organisations that need production ML systems rather than proofs of concept. Services include custom application development, data engineering, MLOps, and Salesforce AI integration. RTS Labs has delivered production ML systems for WEX and other mid-market and enterprise clients in healthcare and financial services.
EPAM Systems
EPAM Systems is a global software engineering and IT services company founded in 1993 and headquartered in Newtown, PA, with 50,000+ professionals. The firm offers AI-native engineering services with a focus on scaling ML, generative AI, and agentic systems across large enterprises with strict governance requirements. EPAM is a powerhouse for building complex, software-heavy AI products from scratch, though it comes at a premium price point.
Services and capabilities: RTS Labs vs EPAM Systems
| Capability | RTS Labs | EPAM Systems |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP & LLMs | ✗ | ✗ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✗ | ✓ |
| Staff augmentation | ✗ | ✓ |
Tech stack comparison: RTS Labs vs EPAM Systems
| Framework / platform | RTS Labs | EPAM Systems |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| Vertex AI | N/A | N/A |
| Scikit-learn | N/A | N/A |
| Hugging Face | N/A | N/A |
| Apache Spark | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
| MLflow | ✓ | N/A |
Pricing comparison: RTS Labs vs EPAM Systems
| Criterion | RTS Labs | EPAM Systems |
|---|---|---|
| Minimum engagement | $25K | ~$200K+ |
| Engagement models | Fixed project, Time & materials | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Enterprise |
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 | Healthcare & Life Sciences, Financial Services, Manufacturing & Industrial | Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial |
| Best use cases | Production ML system build for high-growth fintech with post-launch support SLA, Healthcare predictive analytics pipeline from data engineering through model monitoring | Global AI transformation programme for Fortune 100 enterprise with multi-year delivery scope, Enterprise GenAI platform with strict governance and compliance for regulated financial institution |
| Typical project type | Fixed project | Dedicated team |
RTS Labs vs EPAM Systems: pros and cons
| RTS Labs | |
|---|---|
| + | Senior-only staffing model — no junior resource substitution after the sales process |
| + | Production-first mindset — explicit accountability for post-launch monitoring and iteration |
| + | Named client references including WEX, a publicly listed fintech/fleet payments company |
| + | US-based team with no offshore substitution risk for regulated or time-sensitive projects |
| + | Salesforce AI integration capability alongside custom ML — rare combination in boutique space |
| - | Deliberately small team (50–200) caps parallel project capacity — wait times possible in busy periods |
| - | Less computer vision and LLM depth than ML-native boutiques like Tensorway or LeewayHertz |
| - | Primarily US market — less experience with EU regulatory environments |
| EPAM Systems | |
|---|---|
| + | 50,000+ professionals — unmatched delivery scale for global multi-stream AI programmes |
| + | AI-native engineering practice purpose-built for scaling ML, GenAI, and agentic systems |
| + | Strict governance and compliance frameworks for regulated enterprise AI delivery |
| + | Full-stack capability from hardware infrastructure through ML models to frontend AI products |
| + | Strong US and Eastern European delivery mix for cost-performance balance at enterprise scale |
| - | ~$200K+ minimum makes EPAM inaccessible for all but the largest enterprise budgets |
| - | Large-firm overhead — procurement, contracting, and ramp-up timelines are significantly longer than boutiques |
| - | Generalist breadth means less niche ML depth than boutiques in specific domains like healthcare imaging or time-series |
Who should choose RTS Labs?
RTS Labs is the right choice for high-growth US companies that have done ML experiments and now need a partner accountable for production outcomes.
Small by choice, senior by design — every project is staffed with senior practitioners accountable for post-launch performance, not just the plan. Minimum engagement starts at $25K. Works best with clients in Healthcare & Life Sciences, Financial Services, Manufacturing & Industrial, Logistics & Supply Chain.
Who should choose EPAM Systems?
EPAM Systems is the right choice for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation.
AI-native engineering practice at 50,000-person scale — the broadest talent pool and delivery capacity of any firm on this list. Minimum engagement starts at ~$200K+. Works best with clients in Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial, Media & Entertainment, 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 | RTS Labs |
Use case fit: RTS Labs vs EPAM Systems
| Use case | RTS Labs fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Production ML system build for high-growth fintech with post-launch support SLA | Strong | Limited | RTS Labs |
| Healthcare predictive analytics pipeline from data engineering through model monitoring | Strong | Limited | RTS Labs |
| Global AI transformation programme for Fortune 100 enterprise with multi-year delivery scope | Limited | Strong | EPAM Systems |
| Enterprise GenAI platform with strict governance and compliance for regulated financial institution | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: RTS Labs vs EPAM Systems
RTS Labs (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Small by choice, senior by design — every project is staffed with senior practitioners accountable for post-launch performance, not just the plan. It is best for high-growth US companies that have done ML experiments and now need a partner accountable for production outcomes.
EPAM Systems (3.8/5) is the better choice when global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation. 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 (4.5/5) scores higher overall, but "better" depends on your use case. RTS Labs is better for high-growth US companies that have done ML experiments and now need a partner accountable for production outcomes. EPAM Systems is better for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation.
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 dedicated team, t&m pricing with a minimum engagement of ~$200K+. 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?
RTS Labs 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 RTS Labs and EPAM Systems?
RTS Labs's primary differentiator is: small by choice, senior by design — every project is staffed with senior practitioners accountable for post-launch performance, not just the plan. EPAM Systems's primary differentiator is: ai-native engineering practice at 50,000-person scale — the broadest talent pool and delivery capacity of any firm on this list. They also differ in team size (50–200 vs 50,000+), minimum engagement ($25K vs ~$200K+), and primary industries served (Healthcare & Life Sciences, Financial Services vs Financial Services, Healthcare & Life Sciences).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.