Top AI Consulting Companies

EPAM Systems vs ITRex Group: full comparison for 2026

Quick verdict

EPAM Systems (4.1/5) edges ahead of ITRex Group (4.0/5) overall. EPAM Systems is the better choice for enterprises wanting AI consulting paired directly with engineering delivery. ITRex Group is the stronger option for enterprises wanting AI strategy grounded in existing data infrastructure. 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 4.1 / 5 4.0 / 5
Primary differentiator Engineering-heavy consulting model, pairing strategy advisors with the technical build team Fifteen-plus years combining AI consulting with the data engineering it depends on
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. AI consulting and transformation engineering is a marketed practice area, distinguished from pure Big Four strategy shops by EPAM's engineering-heavy delivery model, pairing advisory work directly with the technical staff who build the resulting systems.

ITRex Group

ITRex has been based in Southern California since 2009, and public headcount estimates range from around 221 up to over 250 employees across three continents. The agency pairs AI consulting with data analytics and cloud computing rather than offering strategy advice in isolation, which means clients get a partner who can assess data readiness before recommending an AI roadmap, not just a slide deck disconnected from technical reality.

Services and capabilities: EPAM Systems vs ITRex Group

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

Tech stack comparison: EPAM Systems vs ITRex Group

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

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 strategy engagement that needs to transition directly into technical build with the same team., Needing a publicly-traded vendor for audit or procurement compliance reasons. Assessing data readiness before committing to a larger AI roadmap., Running an AI strategy engagement that needs to connect into existing enterprise cloud systems.
Typical project type Dedicated team Fixed project

EPAM Systems vs ITRex Group: pros and cons

EPAM Systems
+ Public-company financial disclosure that no private consultancy on this list can match.
+ Engineering-heavy delivery model avoids the strategy-to-build handoff gap common at pure consultancies.
+ Scale to staff several large AI consulting and build programs across regions simultaneously.
+ S&P 500 membership lets enterprise procurement teams vet it through standard due diligence.
- AI consulting 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
ITRex Group
+ Combines AI strategy work with the data engineering assessment most AI roadmaps 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.
- Data and cloud breadth means AI consulting is one specialty among several, not the sole focus
- Employee counts vary meaningfully across public sources

Who should choose EPAM Systems?

A typical fit: running an AI strategy engagement that needs to transition directly into technical build with the same team.

Engineering-heavy consulting model, pairing strategy advisors with the technical build team. 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: assessing data readiness before committing to a larger AI roadmap.

Fifteen-plus years combining AI consulting with the data engineering it depends on. 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 strategy engagement that needs to transition directly into technical build with the same team. Strong Strong Both equally
Needing a publicly-traded vendor for audit or procurement compliance reasons. Strong Limited EPAM Systems
Assessing data readiness before committing to a larger AI roadmap. Limited Strong ITRex Group
Running an AI strategy engagement that needs to connect into existing enterprise cloud systems. Strong Strong Both equally
Fixed-price project Limited Limited Both equally
Dedicated team model Limited Limited Both equally

Verdict: EPAM Systems vs ITRex Group

EPAM Systems (4.1/5) is the stronger overall choice for most AI Consulting projects. Engineering-heavy consulting model, pairing strategy advisors with the technical build team.

ITRex Group (4.0/5) is worth a look if you need running an AI strategy engagement that needs to connect into existing enterprise cloud systems. 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 (4.1/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: public-company financial disclosure that no private consultancy on this list can match. ITRex Group's strongest advantage: combines AI strategy work with the data engineering assessment most AI roadmaps 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: engineering-heavy consulting model, pairing strategy advisors with the technical build team. ITRex Group's primary differentiator is: fifteen-plus years combining AI consulting with the data engineering it depends on. 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.