EPAM Systems vs Debut Infotech: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of Debut Infotech (3.9/5) overall. EPAM Systems is the better choice for global enterprises running AI programs at massive scale. Debut Infotech is the stronger option for mobile-first products needing AI features added on. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs Debut Infotech: head-to-head summary
| Criterion | EPAM Systems | Debut Infotech |
|---|---|---|
| Founded | 1993 | 2011 |
| HQ | Newtown, United States | Mohali, India |
| Team size | 62,000+ | 120-200 |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Public-company scale (NYSE: EPAM) with financial transparency few competitors offer | Mobile and digital product development background with AI layered on top |
| Pricing model | Retainer or dedicated team, enterprise contracting | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, React Native, AWS |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Media & entertainment | Retail & e-commerce, Healthcare, Fintech |
EPAM Systems vs Debut Infotech: 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. AI transformation engineering is a marketed practice area, but at this size it functions as part of a much larger digital engineering and cloud transformation business rather than a standalone specialty.
Debut Infotech
Debut Infotech has run out of Mohali, Punjab since 2011, with employee counts reported between roughly 120 and 200 depending on the source. The company's core focus has been mobile app and digital product development, with Web3, IoT, and AI added as newer capabilities on top of that base. That makes it a reasonable fit for buyers whose primary need is a mobile or web product with AI features attached, rather than a standalone AI engineering engagement.
Services and capabilities: EPAM Systems vs Debut Infotech
| Capability | EPAM Systems | Debut Infotech |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| AI consulting | ✓ | ✗ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: EPAM Systems vs Debut Infotech
| Framework / platform | EPAM Systems | Debut Infotech |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: EPAM Systems vs Debut Infotech
| Criterion | EPAM Systems | Debut Infotech |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Retainer | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs Debut Infotech
| Dimension | EPAM Systems | Debut Infotech |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail & e-commerce | Retail & e-commerce, Healthcare, Fintech |
| Best use cases | Running an AI transformation program spanning multiple business units and regions at once., Needing a publicly-traded vendor for audit or procurement compliance reasons. | Building a mobile app with an AI-powered feature as part of the broader scope., Combining Web3 and AI capabilities under a single vendor for a blockchain-adjacent product. |
| Typical project type | Dedicated team | Fixed project |
EPAM Systems vs Debut Infotech: pros and cons
| EPAM Systems | |
|---|---|
| + | Public-company financial disclosure that no private agency on this list can match. |
| + | Scale to staff several large 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. |
| - | 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 |
| Debut Infotech | |
|---|---|
| + | Strong mobile app development background supports AI features shipped inside a real product. |
| + | Over a decade of delivery history in digital product development. |
| + | Competitive India-based delivery pricing relative to US and European agencies. |
| + | Comfortable adding Web3 or IoT components alongside AI where a project needs it. |
| - | AI is a newer addition to the service list rather than a founding specialty |
| - | Employee count estimates vary meaningfully across public trackers |
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.
Who should choose Debut Infotech?
A typical fit: building a mobile app with an AI-powered feature as part of the broader scope.
Mobile and digital product development background with AI layered on top. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Healthcare, Fintech.
Decision matrix: EPAM Systems vs Debut Infotech
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Debut Infotech |
| 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 Debut Infotech (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 Debut Infotech
| Use case | EPAM Systems fit | Debut Infotech fit | Winner |
|---|---|---|---|
| Running an AI transformation program spanning multiple business units and regions at once. | Strong | Limited | EPAM Systems |
| Needing a publicly-traded vendor for audit or procurement compliance reasons. | Strong | Limited | EPAM Systems |
| Building a mobile app with an AI-powered feature as part of the broader scope. | Limited | Strong | Debut Infotech |
| Combining Web3 and AI capabilities under a single vendor for a blockchain-adjacent product. | Limited | Strong | Debut Infotech |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: EPAM Systems vs Debut Infotech
EPAM Systems (4.1/5) is the stronger overall choice for most AI Development projects. Public-company scale (NYSE: EPAM) with financial transparency few competitors offer.
Debut Infotech (3.9/5) is worth a look if you need combining Web3 and AI capabilities under a single vendor for a blockchain-adjacent product. If your situation matches that, Debut Infotech is a competitive option.
Related comparisons
EPAM Systems vs Debut Infotech FAQ
Is EPAM Systems better than Debut Infotech?
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. Debut Infotech's strongest advantage: strong mobile app development background supports AI features shipped inside a real product.
How do EPAM Systems and Debut Infotech differ in pricing?
EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. Debut Infotech uses fixed project or dedicated team 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 Debut Infotech?
Debut Infotech 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 EPAM Systems and Debut Infotech?
EPAM Systems's primary differentiator is: public-company scale (NYSE: EPAM) with financial transparency few competitors offer. Debut Infotech's primary differentiator is: mobile and digital product development background with AI layered on top. They also differ in team size (62,000+ vs 120-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Retail & e-commerce, Healthcare).
Verify all details directly with each agency before making a decision.