Best AI Development Services

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 fortune 500 buyers needing AI at global engineering 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 AI folded into a much larger engineering practice 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 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.

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 firms on this list, Growexx has built its practice around product engineering with machine learning and data engineering woven in, rather than carrying years of AI-specific case studies the way older firms can. A separate, more recently reported entity called Growexx AI Solutions suggests the company is actively investing 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 that spans multiple business units at once., Needing a publicly-traded vendor for procurement or audit 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 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
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 firms 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 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 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 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
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 AI folded into a much larger engineering practice.

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.

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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 transparency and stability that private firms on this list can't 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 company before shortlisting.

What are the main differences between EPAM Systems and Growexx?

EPAM Systems's primary differentiator is: public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice. 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 company before making a decision.