Cleveroad vs EPAM Systems: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of Cleveroad (4.0/5) overall. EPAM Systems is the better choice for global enterprises running generative AI at massive scale. Cleveroad is the stronger option for startups needing generative AI inside a mobile or web product. The right choice depends on your project size, budget, and required tech stack.
Cleveroad vs EPAM Systems: head-to-head summary
| Criterion | Cleveroad | EPAM Systems |
|---|---|---|
| Founded | 2011 | 1993 |
| HQ | Krakow, Poland | Newtown, United States |
| Team size | 113-200 | 62,000+ |
| Rating | 4.0 / 5 | 4.1 / 5 |
| Primary differentiator | Production-deployment discipline carried over from a decade of mobile and web delivery | 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, OpenAI API, React Native | Python, OpenAI API, AWS |
| Industries served | Retail & e-commerce, Healthcare, Logistics | Financial services, Healthcare, Retail & e-commerce, Media & entertainment |
Cleveroad vs EPAM Systems: overview
Cleveroad
Cleveroad has operated since 2011, though public sources disagree on headquarters, LinkedIn listing Claymont, Delaware while other trackers point to Krakow, Poland. Employee counts vary similarly, from roughly 113 up to a LinkedIn-reported 201-500. The firm's roots are in mobile and web development, with safe, production-grade generative AI deployment positioned as a newer strength built on that existing delivery discipline.
EPAM Systems
EPAM Systems dates to 1993, co-founded in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and has traded on the NYSE as an S&P 500 constituent since 2012. It employed roughly 62,850 people across more than 55 countries at the end of 2025, a scale category no other agency on this list approaches. Generative AI transformation engineering is a marketed practice area, but at this size it functions as part of a much larger digital engineering business rather than a standalone specialty.
Services and capabilities: Cleveroad vs EPAM Systems
| Capability | Cleveroad | EPAM Systems |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✗ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Cleveroad vs EPAM Systems
| Framework / platform | Cleveroad | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Cleveroad vs EPAM Systems
| Criterion | Cleveroad | 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: Cleveroad vs EPAM Systems
| Dimension | Cleveroad | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & e-commerce, Healthcare, Logistics | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Adding generative AI features to a mobile app already in production., Getting a startup MVP built with generative AI as one feature among several. | Running a generative AI transformation program spanning multiple business units and regions., Needing a publicly-traded vendor for audit or procurement compliance reasons. |
| Typical project type | Fixed project | Dedicated team |
Cleveroad vs EPAM Systems: pros and cons
| Cleveroad | |
|---|---|
| + | Mobile and web development roots translate into disciplined production deployment practices. |
| + | Over a decade of delivery history across startup and enterprise clients. |
| + | Operates across four continents, giving flexible timezone coverage. |
| + | Generative AI positioned as an addition to, not a replacement for, established delivery skills. |
| - | Headquarters and employee count are reported inconsistently across public sources |
| - | AI-specific case studies are less prominent than the firm's mobile and web development portfolio |
| EPAM Systems | |
|---|---|
| + | Public-company financial disclosure that no private agency on this list can match. |
| + | Scale to staff several large generative AI programs across regions simultaneously. |
| + | S&P 500 membership lets enterprise procurement teams vet it through standard due diligence. |
| + | Partnerships span all three major cloud hyperscalers. |
| - | Generative AI sits inside an enormous engineering business rather than as a dedicated specialty |
| - | Scale generally means slower onboarding and higher minimum engagement than boutique firms |
Who should choose Cleveroad?
A typical fit: adding generative AI features to a mobile app already in production.
Production-deployment discipline carried over from a decade of mobile and web delivery. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Healthcare, Logistics.
Who should choose EPAM Systems?
A typical fit: running a generative AI transformation program spanning multiple business units and regions.
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: Cleveroad vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Cleveroad |
| You need a large dedicated team for an ongoing programme | Cleveroad |
| Your budget is at the lower end | Compare: Cleveroad (Not disclosed) vs EPAM Systems (Not disclosed) |
| You need specialist depth in a specific vertical | EPAM Systems |
| 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: Cleveroad vs EPAM Systems
| Use case | Cleveroad fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Adding generative AI features to a mobile app already in production. | Strong | Limited | Cleveroad |
| Getting a startup MVP built with generative AI as one feature among several. | Strong | Limited | Cleveroad |
| Running a generative AI transformation program spanning multiple business units and regions. | 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: Cleveroad vs EPAM Systems
EPAM Systems (4.1/5) is the stronger overall choice for most Generative AI Development projects. Public-company scale (NYSE: EPAM) with financial transparency few competitors offer.
Cleveroad (4.0/5) is worth a look if you need getting a startup MVP built with generative AI as one feature among several. If your situation matches that, Cleveroad is a competitive option.
Related comparisons
Cleveroad vs EPAM Systems FAQ
Is Cleveroad better than EPAM Systems?
EPAM Systems (4.1/5) scores higher overall, but "better" depends on your use case. Cleveroad's strongest advantage: mobile and web development roots translate into disciplined production deployment practices. EPAM Systems's strongest advantage: public-company financial disclosure that no private agency on this list can match.
How do Cleveroad and EPAM Systems differ in pricing?
Cleveroad 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: Cleveroad or EPAM Systems?
Cleveroad 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 Cleveroad and EPAM Systems?
Cleveroad's primary differentiator is: production-deployment discipline carried over from a decade of mobile and web delivery. EPAM Systems's primary differentiator is: public-company scale (NYSE: EPAM) with financial transparency few competitors offer. They also differ in team size (113-200 vs 62,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, Healthcare vs Financial services, Healthcare).
Verify all details directly with each company before making a decision.