Best AI Development Firms

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 pairing AI with existing data infrastructure work. EPAM Systems is the stronger option for global enterprises running AI programs at massive 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-plus years combining AI delivery with the data engineering it depends on Public-company scale (NYSE: EPAM) with financial transparency few competitors offer
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 has operated out of Southern California since 2009, with public headcount estimates ranging from about 221 to over 250 across three continents depending on the source. The firm pitches itself on the combination of artificial intelligence, data analytics, and cloud computing rather than AI in isolation, which means clients get a partner comfortable with the data infrastructure an AI system needs before it can be built at all. That breadth costs some specialization depth compared to AI-only boutiques, but it removes a common integration headache.

EPAM Systems

EPAM Systems traces back to 1993, founded jointly in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and has been an S&P 500 constituent trading on the NYSE since 2012. By the end of 2025 the company employed roughly 62,850 people across more than 55 countries, a scale that puts it in an entirely different category from any other firm on this list. AI transformation engineering is one of its marketed practice areas, but at this size it operates as part of a much larger digital engineering and cloud transformation business rather than a standalone specialty.

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 so it can actually feed an AI model., Running an AI pilot that needs to connect into existing enterprise cloud systems. Running an AI transformation program spanning multiple business units and regions at once., Needing a publicly-traded vendor for audit or procurement compliance reasons.
Typical project type Fixed project Dedicated team

ITRex Group vs EPAM Systems: pros and cons

ITRex Group
+ Pairs AI work with the data engineering most AI projects actually need first.
+ Over fifteen years of operating history spread across three continents.
+ Enterprise client mix means the team already knows how to navigate procurement cycles.
+ Works across both AWS and Azure, reducing platform lock-in risk for clients.
- Data and cloud breadth means AI is one specialty among several, not the sole focus
- Employee counts differ meaningfully depending on which public source is checked
EPAM Systems
+ Public-company financial disclosure that no private firm on this list can match.
+ Enough scale to staff several large AI programs across regions simultaneously.
+ S&P 500 membership means enterprise procurement teams can vet it through standard due diligence.
+ Partnerships across 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

Who should choose ITRex Group?

A typical fit: modernizing a legacy data warehouse so it can actually feed an AI model.

Fifteen-plus years combining AI delivery with the 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 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.

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 so it can actually feed an AI model. Strong Limited ITRex Group
Running an AI pilot that needs to connect into existing enterprise cloud systems. Strong Strong Both equally
Running an AI transformation program spanning multiple business units and regions at once. Strong Strong Both equally
Needing a publicly-traded vendor for audit or procurement compliance 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-plus years combining AI delivery with the data engineering it depends on.

EPAM Systems (4.1/5) is worth a look if you need needing a publicly-traded vendor for audit or procurement compliance 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: pairs AI work with the data engineering most AI projects actually need first. EPAM Systems's strongest advantage: public-company financial disclosure that no private firm on this list can 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 firm before shortlisting.

What are the main differences between ITRex Group and EPAM Systems?

ITRex Group's primary differentiator is: fifteen-plus years combining AI delivery with the data engineering it depends on. EPAM Systems's primary differentiator is: public-company scale (NYSE: EPAM) with financial transparency few competitors offer. 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 firm before making a decision.