EPAM Systems vs Growexx: full comparison for 2026
Quick verdict
EPAM Systems (4.1/5) edges ahead of Growexx (3.9/5) overall. EPAM Systems is the better choice for global enterprises running AI programs at massive scale. Growexx is the stronger option for startups wanting fast-growing engineering capacity with AI. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs Growexx: head-to-head summary
| Criterion | EPAM Systems | Growexx |
|---|---|---|
| Founded | 1993 | 2020 |
| HQ | Newtown, United States | Ahmedabad, India |
| Team size | 62,000+ | 240-260 |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Public-company scale (NYSE: EPAM) with financial transparency few competitors offer | Younger, fast-scaling team actively expanding a dedicated AI division |
| 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, AWS, Node.js |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Media & entertainment | SaaS, Fintech, Retail & e-commerce |
EPAM Systems vs Growexx: 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.
Growexx
Growexx was founded in 2020 by Vikas Agarwaal and Ruchit Jani and is based in Ahmedabad, India, with a headcount reported between roughly 240 and 260 employees. As one of the younger agencies on this list, Growexx built its practice around product engineering with machine learning and data engineering woven in rather than carrying years of AI-specific case studies. A separate, more recently reported entity called Growexx AI Solutions suggests active investment in expanding this side of the business.
Services and capabilities: EPAM Systems vs Growexx
| Capability | EPAM Systems | Growexx |
|---|---|---|
| Generative AI | ✓ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| AI consulting | ✓ | ✗ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: EPAM Systems vs Growexx
| Framework / platform | EPAM Systems | Growexx |
|---|---|---|
| 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 Growexx
| Criterion | EPAM Systems | Growexx |
|---|---|---|
| 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 Growexx
| Dimension | EPAM Systems | Growexx |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail & e-commerce | SaaS, Fintech, Retail & e-commerce |
| 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. | Working with a fast-growing team on a startup product that needs both engineering and ML capacity., Getting product engineering and machine learning from one team as a company scales quickly. |
| Typical project type | Dedicated team | Fixed project |
EPAM Systems vs Growexx: 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 |
| Growexx | |
|---|---|
| + | Rapid headcount growth since 2020 suggests strong client demand and reinvestment. |
| + | Actively expanding a dedicated AI division, evidenced by the separate Growexx AI Solutions entity. |
| + | Founder-led team still closely involved at this stage of growth. |
| + | Competitive Ahmedabad-based delivery pricing. |
| - | Founded in 2020, so has less AI-specific track record than most agencies on this list |
| - | Public information on named AI client projects is limited so far |
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 Growexx?
A typical fit: working with a fast-growing team on a startup product that needs both engineering and ML capacity.
Younger, fast-scaling team actively expanding a dedicated AI division. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, Retail & e-commerce.
Decision matrix: EPAM Systems vs Growexx
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Growexx |
| 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 Growexx (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 Growexx
| Use case | EPAM Systems fit | Growexx 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 |
| Working with a fast-growing team on a startup product that needs both engineering and ML capacity. | Limited | Strong | Growexx |
| Getting product engineering and machine learning from one team as a company scales quickly. | Limited | Strong | Growexx |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: EPAM Systems vs Growexx
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.
Growexx (3.9/5) is worth a look if you need getting product engineering and machine learning from one team as a company scales quickly. If your situation matches that, Growexx is a competitive option.
Related comparisons
EPAM Systems vs Growexx FAQ
Is EPAM Systems better than Growexx?
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. Growexx's strongest advantage: rapid headcount growth since 2020 suggests strong client demand and reinvestment.
How do EPAM Systems and Growexx differ in pricing?
EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. Growexx 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 Growexx?
Growexx 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 Growexx?
EPAM Systems's primary differentiator is: public-company scale (NYSE: EPAM) with financial transparency few competitors offer. Growexx's primary differentiator is: Younger, fast-scaling team actively expanding a dedicated AI division. They also differ in team size (62,000+ vs 240-260), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs SaaS, Fintech).
Verify all details directly with each agency before making a decision.