EPAM Systems vs AtliQ Technologies: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of AtliQ Technologies (3.9/5) overall. EPAM Systems is the better choice for fortune 500 buyers needing AI at global engineering scale. AtliQ Technologies is the stronger option for budget-conscious teams wanting AI added to a product build. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs AtliQ Technologies: head-to-head summary
| Criterion | EPAM Systems | AtliQ Technologies |
|---|---|---|
| Founded | 1993 | 2017 |
| HQ | Newtown, United States | Vadodara, India |
| Team size | 62,000+ | 50-220 |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice | US and India presence at startup-friendly pricing for a firm founded in 2017 |
| 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, scikit-learn, AWS |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Media & entertainment | Retail & e-commerce, SaaS, Fintech |
EPAM Systems vs AtliQ Technologies: overview
EPAM Systems
EPAM Systems was founded in 1993 in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and has traded on the New York Stock Exchange since 2012 as a member of the S&P 500. The company employed roughly 62,850 people across more than 55 countries at the end of 2025, which puts it in a different capacity class from every other firm on this list. EPAM markets itself as a leader in AI transformation engineering, and its scale means AI work is one part of a much larger digital engineering and cloud transformation business rather than the whole of it.
AtliQ Technologies
AtliQ Technologies was founded in 2017 by Bhavin Patel and Dhaval Patel, and is based in Vadodara, Gujarat with an additional office in New Jersey. Public employee counts vary sharply, from roughly 42 to over 220 depending on the source and reporting date, which is worth confirming directly given how young the company is relative to others on this list. The firm's core work is software product and application development, with AI-driven data analysis added as a newer service rather than a founding specialty.
Services and capabilities: EPAM Systems vs AtliQ Technologies
| Capability | EPAM Systems | AtliQ Technologies |
|---|---|---|
| Generative AI | ✓ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| AI consulting | ✓ | ✗ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: EPAM Systems vs AtliQ Technologies
| Framework / platform | EPAM Systems | AtliQ Technologies |
|---|---|---|
| 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 AtliQ Technologies
| Criterion | EPAM Systems | AtliQ Technologies |
|---|---|---|
| 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 AtliQ Technologies
| Dimension | EPAM Systems | AtliQ Technologies |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail & e-commerce | Retail & e-commerce, SaaS, Fintech |
| Best use cases | Running an AI transformation program that spans multiple business units at once., Needing a publicly-traded vendor for procurement or audit reasons. | Adding basic AI-driven analytics to a product already in development., Getting a budget-friendly product build where AI is a smaller part of the overall scope. |
| Typical project type | Dedicated team | Fixed project |
EPAM Systems vs AtliQ Technologies: pros and cons
| EPAM Systems | |
|---|---|
| + | Public-company financial transparency and stability that private firms on this list can't match. |
| + | Scale to staff multiple large AI programs across regions simultaneously. |
| + | S&P 500 membership signals enterprise procurement teams can vet it through standard due diligence. |
| + | Cloud partnerships span all three major hyperscalers. |
| - | AI is one line of business inside a much larger engineering firm, not a dedicated specialty |
| - | Enterprise scale typically means longer sales cycles and higher minimum engagement sizes than boutiques |
| AtliQ Technologies | |
|---|---|
| + | Combined India and New Jersey presence gives clients a US point of contact at India-based delivery cost. |
| + | Founder-led team stays close to project delivery at this size. |
| + | AI added on top of an existing product development practice, not offered in isolation. |
| + | Younger firm tends to price more competitively than established mid-market vendors. |
| - | Public employee figures vary by nearly 5x, making true team capacity hard to confirm |
| - | Shorter operating history than most other firms on this list |
Who should choose EPAM Systems?
A typical fit: running an AI transformation program that spans multiple business units at once.
Public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media & entertainment.
Who should choose AtliQ Technologies?
A typical fit: adding basic AI-driven analytics to a product already in development.
US and India presence at startup-friendly pricing for a firm founded in 2017. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, SaaS, Fintech.
Decision matrix: EPAM Systems vs AtliQ Technologies
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | AtliQ Technologies |
| 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 AtliQ Technologies (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 AtliQ Technologies
| Use case | EPAM Systems fit | AtliQ Technologies fit | Winner |
|---|---|---|---|
| Running an AI transformation program that spans multiple business units at once. | Strong | Limited | EPAM Systems |
| Needing a publicly-traded vendor for procurement or audit reasons. | Strong | Limited | EPAM Systems |
| Adding basic AI-driven analytics to a product already in development. | Limited | Strong | AtliQ Technologies |
| Getting a budget-friendly product build where AI is a smaller part of the overall scope. | Limited | Strong | AtliQ Technologies |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: EPAM Systems vs AtliQ Technologies
EPAM Systems (4.1/5) is the stronger overall choice for most AI Development projects. Public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice.
AtliQ Technologies (3.9/5) is worth a look if you need getting a budget-friendly product build where AI is a smaller part of the overall scope. If your situation matches that, AtliQ Technologies is a competitive option.
Related comparisons
EPAM Systems vs AtliQ Technologies FAQ
Is EPAM Systems better than AtliQ Technologies?
EPAM Systems (4.1/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: public-company financial transparency and stability that private firms on this list can't match. AtliQ Technologies's strongest advantage: combined India and New Jersey presence gives clients a US point of contact at India-based delivery cost.
How do EPAM Systems and AtliQ Technologies differ in pricing?
EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. AtliQ Technologies 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 AtliQ Technologies?
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 company before shortlisting.
What are the main differences between EPAM Systems and AtliQ Technologies?
EPAM Systems's primary differentiator is: public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice. AtliQ Technologies's primary differentiator is: US and India presence at startup-friendly pricing for a firm founded in 2017. They also differ in team size (62,000+ vs 50-220), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Retail & e-commerce, SaaS).
Verify all details directly with each company before making a decision.