Best AI Development Services

ITRex Group vs EPAM Systems: full comparison for 2026

Quick verdict

ITRex Group (4.3/5) edges ahead of EPAM Systems (4.1/5) overall. ITRex Group is the better choice for enterprises needing AI tied to existing data infrastructure. EPAM Systems is the stronger option for fortune 500 buyers needing AI at global engineering scale. The right choice depends on your project size, budget, and required tech stack.

ITRex Group vs EPAM Systems: head-to-head summary

Criterion ITRex Group EPAM Systems
Founded 2009 1993
HQ Santa Monica, United States Newtown, United States
Team size 201-250 62,000+
Rating 4.3 / 5 4.1 / 5
Primary differentiator Fifteen years pairing AI delivery with the underlying data engineering it depends on Public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice
Pricing model Fixed project, dedicated team, or retainer Retainer or dedicated team, enterprise contracting
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, TensorFlow, AWS Python, AWS, Azure
Industries served Healthcare, Manufacturing, Retail & e-commerce, Logistics Financial services, Healthcare, Retail & e-commerce, Media & entertainment

ITRex Group vs EPAM Systems: overview

ITRex Group

ITRex was founded in 2009 and operates out of Southern California, with public employee counts ranging from about 221 to 250-plus across three continents depending on the source. The firm works across artificial intelligence, data analytics, and cloud computing for enterprise clients rather than treating AI as a standalone product line, which shows up in how its case studies mix AI delivery with broader data infrastructure work. That breadth is a trade-off: buyers get a partner comfortable with the surrounding data plumbing an AI system needs, not just the model itself.

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.

Services and capabilities: ITRex Group vs EPAM Systems

Capability ITRex Group EPAM Systems
Generative AI
Machine learning
AI agents
MLOps
AI consulting
Fixed-price projects
Dedicated team model

Tech stack comparison: ITRex Group vs EPAM Systems

Framework / platform ITRex Group EPAM Systems
Python
PyTorch N/A N/A
TensorFlow N/A
LangChain N/A N/A
AWS
Azure
Kubernetes

Pricing comparison: ITRex Group vs EPAM Systems

Criterion ITRex Group EPAM Systems
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed project, Dedicated team, Retainer Dedicated team, Retainer
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: ITRex Group vs EPAM Systems

Dimension ITRex Group EPAM Systems
Best company size Startup to mid-market Startup to mid-market
Best industries Healthcare, Manufacturing, Retail & e-commerce Financial services, Healthcare, Retail & e-commerce
Best use cases Modernizing a legacy data warehouse into something an AI model can actually train on., Running an AI pilot that needs to plug into existing enterprise cloud infrastructure. Running an AI transformation program that spans multiple business units at once., Needing a publicly-traded vendor for procurement or audit reasons.
Typical project type Fixed project Dedicated team

ITRex Group vs EPAM Systems: pros and cons

ITRex Group
+ Combines AI delivery with the data engineering work most AI projects actually need first.
+ Fifteen-plus years of operating history across three continents.
+ Enterprise client base gives the team practice navigating procurement and compliance cycles.
+ Cloud partnerships across both AWS and Azure reduce platform lock-in for clients.
- Broader data-and-cloud focus means AI is one specialty among several, not the sole business
- Employee counts differ meaningfully across public sources
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

Who should choose ITRex Group?

A typical fit: modernizing a legacy data warehouse into something an AI model can actually train on.

Fifteen years pairing AI delivery with the underlying data engineering it depends on. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Manufacturing, Retail & e-commerce, Logistics.

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.

Decision matrix: ITRex Group vs EPAM Systems

Your situation Recommended choice
You need full-ownership delivery on a defined project scope ITRex Group
You need a large dedicated team for an ongoing programme ITRex Group
Your budget is at the lower end Compare: ITRex Group (Not disclosed) vs EPAM Systems (Not disclosed)
You need specialist depth in a specific vertical ITRex Group
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build ITRex Group

Use case fit: ITRex Group vs EPAM Systems

Use case ITRex Group fit EPAM Systems fit Winner
Modernizing a legacy data warehouse into something an AI model can actually train on. Strong Limited ITRex Group
Running an AI pilot that needs to plug into existing enterprise cloud infrastructure. Strong Strong Both equally
Running an AI transformation program that spans multiple business units at once. Strong Strong Both equally
Needing a publicly-traded vendor for procurement or audit reasons. Limited Strong EPAM Systems
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: ITRex Group vs EPAM Systems

ITRex Group (4.3/5) is the stronger overall choice for most AI Development projects. Fifteen years pairing AI delivery with the underlying data engineering it depends on.

EPAM Systems (4.1/5) is worth a look if you need needing a publicly-traded vendor for procurement or audit reasons. If your situation matches that, EPAM Systems is a competitive option.

Related comparisons

ITRex Group vs EPAM Systems FAQ

Is ITRex Group better than EPAM Systems?

ITRex Group (4.3/5) scores higher overall, but "better" depends on your use case. ITRex Group's strongest advantage: combines AI delivery with the data engineering work most AI projects actually need first. EPAM Systems's strongest advantage: public-company financial transparency and stability that private firms on this list can't match.

How do ITRex Group and EPAM Systems differ in pricing?

ITRex Group uses fixed project, dedicated team, or retainer pricing. EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: ITRex Group or EPAM Systems?

ITRex Group 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 ITRex Group and EPAM Systems?

ITRex Group's primary differentiator is: fifteen years pairing AI delivery with the underlying data engineering it depends on. EPAM Systems's primary differentiator is: public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice. They also differ in team size (201-250 vs 62,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Manufacturing vs Financial services, Healthcare).

Verify all details directly with each company before making a decision.