Markovate vs EPAM Systems: full comparison for 2026
Quick verdict
Markovate (4.6/5) edges ahead of EPAM Systems (4.1/5) overall. Markovate is the better choice for founders wanting an AI-only product partner. EPAM Systems is the stronger option for global enterprises running AI programs at massive scale. The right choice depends on your project size, budget, and required tech stack.
Markovate vs EPAM Systems: head-to-head summary
| Criterion | Markovate | EPAM Systems |
|---|---|---|
| Founded | 2015 | 1993 |
| HQ | San Francisco, United States | Newtown, United States |
| Team size | 51-200 | 62,000+ |
| Rating | 4.6 / 5 | 4.1 / 5 |
| Primary differentiator | AI-exclusive focus since 2015, predating the current generative AI surge | Public-company scale (NYSE: EPAM) with financial transparency few competitors offer |
| Pricing model | Fixed project or dedicated team | Retainer or dedicated team, enterprise contracting |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PyTorch, OpenAI API | Python, AWS, Azure |
| Industries served | Fintech, Healthcare, Retail & e-commerce, Logistics | Financial services, Healthcare, Retail & e-commerce, Media & entertainment |
Markovate vs EPAM Systems: overview
Markovate
Markovate has stayed narrowly focused on AI and machine learning product work since founding in 2015, running a team in the 51-200 range out of San Francisco. Co-founder Rajeev Sharma built the firm around shipping AI products end to end rather than staffing generic development teams, which shows in how consistently its case studies center on generative AI and applied ML rather than a broader software portfolio. That narrowness is a trade-off: less flexibility for non-AI work, more depth on the thing it actually does.
EPAM Systems
EPAM Systems traces back to 1993, founded jointly in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and has been an S&P 500 constituent trading on the NYSE since 2012. By the end of 2025 the company employed roughly 62,850 people across more than 55 countries, a scale that puts it in an entirely different category from any other firm on this list. AI transformation engineering is one of its marketed practice areas, but at this size it operates as part of a much larger digital engineering and cloud transformation business rather than a standalone specialty.
Services and capabilities: Markovate vs EPAM Systems
| Capability | Markovate | EPAM Systems |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✓ |
| AI agents | ✓ | ✗ |
| MLOps | ✗ | ✓ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Markovate vs EPAM Systems
| Framework / platform | Markovate | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: Markovate vs EPAM Systems
| Criterion | Markovate | EPAM Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Dedicated team, Retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Markovate vs EPAM Systems
| Dimension | Markovate | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail & e-commerce | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Turning a generative AI idea into a working product with a small, senior team., Getting a fast prototype built before deciding whether to hire in-house AI engineers. | Running an AI transformation program spanning multiple business units and regions at once., Needing a publicly-traded vendor for audit or procurement compliance reasons. |
| Typical project type | Fixed project | Dedicated team |
Markovate vs EPAM Systems: pros and cons
| Markovate | |
|---|---|
| + | Ten years of AI-only positioning, well before generative AI became the default pitch for every dev firm. |
| + | San Francisco location keeps the team close to the model providers it works with most. |
| + | Comfortable taking founder calls directly rather than routing everything through account management. |
| + | Case studies describe shipped products, not proof-of-concept demos. |
| - | Team size is small relative to the enterprise generalists on this list, which limits very large concurrent programs |
| - | No public minimum engagement figure to plan a budget against upfront |
| EPAM Systems | |
|---|---|
| + | Public-company financial disclosure that no private firm on this list can match. |
| + | Enough scale to staff several large AI programs across regions simultaneously. |
| + | S&P 500 membership means enterprise procurement teams can vet it through standard due diligence. |
| + | Partnerships across all three major cloud hyperscalers. |
| - | AI sits inside an enormous engineering business rather than functioning as a dedicated specialty |
| - | Scale generally means slower onboarding and higher minimum engagement than boutique firms |
Who should choose Markovate?
A typical fit: turning a generative AI idea into a working product with a small, senior team.
AI-exclusive focus since 2015, predating the current generative AI surge. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce, Logistics.
Who should choose EPAM Systems?
A typical fit: running an AI transformation program spanning multiple business units and regions at once.
Public-company scale (NYSE: EPAM) with financial transparency few competitors offer. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media & entertainment.
Decision matrix: Markovate vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Markovate |
| You need a large dedicated team for an ongoing programme | Markovate |
| Your budget is at the lower end | Compare: Markovate (Not disclosed) vs EPAM Systems (Not disclosed) |
| You need specialist depth in a specific vertical | Markovate |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | EPAM Systems |
Use case fit: Markovate vs EPAM Systems
| Use case | Markovate fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Turning a generative AI idea into a working product with a small, senior team. | Strong | Limited | Markovate |
| Getting a fast prototype built before deciding whether to hire in-house AI engineers. | Strong | Limited | Markovate |
| Running an AI transformation program spanning multiple business units and regions at once. | Limited | Strong | EPAM Systems |
| Needing a publicly-traded vendor for audit or procurement compliance reasons. | Limited | Strong | EPAM Systems |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Markovate vs EPAM Systems
Markovate (4.6/5) is the stronger overall choice for most AI Development projects. AI-exclusive focus since 2015, predating the current generative AI surge.
EPAM Systems (4.1/5) is worth a look if you need needing a publicly-traded vendor for audit or procurement compliance reasons. If your situation matches that, EPAM Systems is a competitive option.
Related comparisons
Markovate vs EPAM Systems FAQ
Is Markovate better than EPAM Systems?
Markovate (4.6/5) scores higher overall, but "better" depends on your use case. Markovate's strongest advantage: ten years of AI-only positioning, well before generative AI became the default pitch for every dev firm. EPAM Systems's strongest advantage: public-company financial disclosure that no private firm on this list can match.
How do Markovate and EPAM Systems differ in pricing?
Markovate uses fixed project or dedicated team pricing. EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Markovate 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 firm before shortlisting.
What are the main differences between Markovate and EPAM Systems?
Markovate's primary differentiator is: AI-exclusive focus since 2015, predating the current generative AI surge. EPAM Systems's primary differentiator is: public-company scale (NYSE: EPAM) with financial transparency few competitors offer. They also differ in team size (51-200 vs 62,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Financial services, Healthcare).
Verify all details directly with each firm before making a decision.