Best AI Development Services Europe

EPAM Systems vs ITRex Group: full comparison for 2026

Quick verdict

EPAM Systems (4.0/5) edges ahead of ITRex Group (3.9/5) overall. EPAM Systems is the better choice for global enterprises running AI programs with deep CEE delivery depth. ITRex Group is the stronger option for US-based enterprises open to a non-EU AI vendor. The right choice depends on your project size, budget, and required tech stack.

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

Criterion EPAM Systems ITRex Group
Founded 1993 2009
HQ Newtown, United States Santa Monica, United States
Team size 62,000+ 201-250
Rating 4.0 / 5 3.9 / 5
Primary differentiator Public-company scale with historical delivery roots across EU member states in Central Europe Fifteen-plus years combining AI delivery with data engineering, based in the US
Pricing model Retainer or dedicated team, enterprise contracting Fixed project, dedicated team, or retainer
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, AWS, Azure Python, TensorFlow, AWS
Industries served Financial services, Healthcare, Retail & e-commerce, Media & entertainment Healthcare, Manufacturing, Retail & e-commerce, Logistics

EPAM Systems vs ITRex Group: 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, with deep historical delivery roots in Central and Eastern Europe, including EU member states like Poland and Hungary. AI transformation engineering is a marketed practice area within a much larger digital engineering business.

ITRex Group

ITRex has been based in Southern California since 2009, with public headcount estimates ranging from around 221 up to over 250 employees across three continents. The agency pairs AI and machine learning with data analytics and cloud computing, though its published delivery footprint centers on North America rather than Europe, which European buyers should factor into any data-residency planning.

Services and capabilities: EPAM Systems vs ITRex Group

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

Tech stack comparison: EPAM Systems vs ITRex Group

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

Pricing comparison: EPAM Systems vs ITRex Group

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

Target audience comparison: EPAM Systems vs ITRex Group

Dimension EPAM Systems ITRex Group
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Healthcare, Retail & e-commerce Healthcare, Manufacturing, Retail & e-commerce
Best use cases Running an AI transformation program spanning multiple EU regions and business units., Needing a publicly-traded vendor for audit or procurement compliance reasons. Modernizing a legacy data warehouse so it can actually feed an AI model, for a US-based buyer., Running an AI pilot that needs to connect into existing enterprise cloud systems outside the EU.
Typical project type Dedicated team Fixed project

EPAM Systems vs ITRex Group: pros and cons

EPAM Systems
+ Public-company financial disclosure that no private firm on this list can match.
+ Deep, decades-old delivery presence across Central and Eastern European EU member states.
+ Scale to staff several large AI programs across regions simultaneously.
+ S&P 500 membership lets enterprise procurement teams vet it through standard due diligence.
- US headquarters means the parent legal entity sits outside the EU
- AI sits inside an enormous engineering business rather than functioning as a dedicated specialty
ITRex Group
+ Combines AI work with the data engineering most AI projects actually need first.
+ Fifteen-plus years of history across three continents.
+ Enterprise client mix means the team is comfortable with procurement cycles.
+ Works across both AWS and Azure, reducing platform lock-in for clients.
- No reported EU delivery presence, which European clients with data-residency needs should factor in
- Employee counts vary meaningfully across public sources

Who should choose EPAM Systems?

A typical fit: running an AI transformation program spanning multiple EU regions and business units.

Public-company scale with historical delivery roots across EU member states in Central Europe. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media & entertainment.

Who should choose ITRex Group?

A typical fit: modernizing a legacy data warehouse so it can actually feed an AI model, for a US-based buyer.

Fifteen-plus years combining AI delivery with data engineering, based in the US. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Manufacturing, Retail & e-commerce, Logistics.

Decision matrix: EPAM Systems vs ITRex Group

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 EPAM Systems
Your budget is at the lower end Compare: EPAM Systems (Not disclosed) vs ITRex Group (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 ITRex Group

Use case EPAM Systems fit ITRex Group fit Winner
Running an AI transformation program spanning multiple EU regions and business units. Strong Strong Both equally
Needing a publicly-traded vendor for audit or procurement compliance reasons. Strong Limited EPAM Systems
Modernizing a legacy data warehouse so it can actually feed an AI model, for a US-based buyer. Limited Strong ITRex Group
Running an AI pilot that needs to connect into existing enterprise cloud systems outside the EU. Strong Strong Both equally
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: EPAM Systems vs ITRex Group

EPAM Systems (4.0/5) is the stronger overall choice for most AI Development projects. Public-company scale with historical delivery roots across EU member states in Central Europe.

ITRex Group (3.9/5) is worth a look if you need running an AI pilot that needs to connect into existing enterprise cloud systems outside the EU. If your situation matches that, ITRex Group is a competitive option.

Related comparisons

EPAM Systems vs ITRex Group FAQ

Is EPAM Systems better than ITRex Group?

EPAM Systems (4.0/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: public-company financial disclosure that no private firm on this list can match. ITRex Group's strongest advantage: combines AI work with the data engineering most AI projects actually need first.

How do EPAM Systems and ITRex Group differ in pricing?

EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. ITRex Group uses fixed project, dedicated team, or retainer 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 ITRex Group?

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 EPAM Systems and ITRex Group?

EPAM Systems's primary differentiator is: public-company scale with historical delivery roots across EU member states in Central Europe. ITRex Group's primary differentiator is: fifteen-plus years combining AI delivery with data engineering, based in the US. They also differ in team size (62,000+ vs 201-250), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Healthcare, Manufacturing).

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