EPAM Systems vs 10Pearls: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of 10Pearls (3.9/5) overall. EPAM Systems is the better choice for global enterprises running generative AI at massive scale. 10Pearls is the stronger option for enterprises wanting generative AI bundled with digital transformation. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs 10Pearls: head-to-head summary
| Criterion | EPAM Systems | 10Pearls |
|---|---|---|
| Founded | 1993 | 2004 |
| HQ | Newtown, United States | Vienna, United States |
| Team size | 62,000+ | 1,800-1,950 |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Public-company scale (NYSE: EPAM) with financial transparency few competitors offer | Two decades of digital transformation delivery with generative AI as an established add-on |
| Pricing model | Retainer or dedicated team, enterprise contracting | Dedicated team or retainer |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, OpenAI API, AWS | Python, OpenAI API, AWS |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Media & entertainment | Financial services, Healthcare, Retail & e-commerce |
EPAM Systems vs 10Pearls: overview
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.
10Pearls
10Pearls was founded in 2004 by brothers Imran and Zeeshan Aftab and is headquartered in Vienna, Virginia. The firm operates across six countries with roughly 1,800-1,950 employees, and one source cites 2024 revenue near $358 million. Its core business is software development, product design, and digital transformation broadly, with generative AI positioned as one service line inside that larger practice rather than the firm's defining specialty.
Services and capabilities: EPAM Systems vs 10Pearls
| Capability | EPAM Systems | 10Pearls |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✗ | ✗ |
| AI agents | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| AI consulting | ✓ | ✗ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: EPAM Systems vs 10Pearls
| Framework / platform | EPAM Systems | 10Pearls |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: EPAM Systems vs 10Pearls
| Criterion | EPAM Systems | 10Pearls |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Retainer | Dedicated team, Retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs 10Pearls
| Dimension | EPAM Systems | 10Pearls |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail & e-commerce | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Running a generative AI transformation program spanning multiple business units and regions., Needing a publicly-traded vendor for audit or procurement compliance reasons. | Bundling a generative AI initiative into a larger digital transformation contract., Needing a financially stable US vendor for a multi-year enterprise engagement. |
| Typical project type | Dedicated team | Dedicated team |
EPAM Systems vs 10Pearls: pros and cons
| 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 |
| 10Pearls | |
|---|---|
| + | Reported revenue near $358 million signals financial stability for long engagements. |
| + | Twenty-plus years of digital transformation delivery experience. |
| + | US headquarters simplifies contracting for domestic enterprise buyers. |
| + | Six-country delivery footprint supports round-the-clock development cycles. |
| - | Generative AI is one of several service lines rather than the firm's primary specialty |
| - | Scale means engagement minimums are typically higher than boutique AI firms |
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.
Who should choose 10Pearls?
A typical fit: bundling a generative AI initiative into a larger digital transformation contract.
Two decades of digital transformation delivery with generative AI as an established add-on. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce.
Decision matrix: EPAM Systems vs 10Pearls
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | EPAM Systems |
| Your budget is at the lower end | Compare: EPAM Systems (Not disclosed) vs 10Pearls (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: EPAM Systems vs 10Pearls
| Use case | EPAM Systems fit | 10Pearls fit | Winner |
|---|---|---|---|
| Running a generative AI transformation program spanning multiple business units and regions. | Strong | Strong | Both equally |
| Needing a publicly-traded vendor for audit or procurement compliance reasons. | Strong | Strong | Both equally |
| Bundling a generative AI initiative into a larger digital transformation contract. | Limited | Strong | 10Pearls |
| Needing a financially stable US vendor for a multi-year enterprise engagement. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: EPAM Systems vs 10Pearls
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.
10Pearls (3.9/5) is worth a look if you need needing a financially stable US vendor for a multi-year enterprise engagement. If your situation matches that, 10Pearls is a competitive option.
Related comparisons
EPAM Systems vs 10Pearls FAQ
Is EPAM Systems better than 10Pearls?
EPAM Systems (4.1/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: public-company financial disclosure that no private agency on this list can match. 10Pearls's strongest advantage: reported revenue near $358 million signals financial stability for long engagements.
How do EPAM Systems and 10Pearls differ in pricing?
EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. 10Pearls uses dedicated team or retainer pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: EPAM Systems or 10Pearls?
10Pearls 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 EPAM Systems and 10Pearls?
EPAM Systems's primary differentiator is: public-company scale (NYSE: EPAM) with financial transparency few competitors offer. 10Pearls's primary differentiator is: two decades of digital transformation delivery with generative AI as an established add-on. They also differ in team size (62,000+ vs 1,800-1,950), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Financial services, Healthcare).
Verify all details directly with each company before making a decision.