Top AI Consulting Services

EPAM Systems vs Andersen: full comparison for 2026

Quick verdict

EPAM Systems (4.1/5) edges ahead of Andersen (4.0/5) overall. EPAM Systems is the better choice for enterprises wanting AI advisory services paired directly with engineering delivery. Andersen is the stronger option for enterprises wanting AI advisory services paired with broad platform engineering. The right choice depends on your project size, budget, and required tech stack.

EPAM Systems vs Andersen: head-to-head summary

Criterion EPAM Systems Andersen
Founded 1993 2007
HQ Newtown, United States Warsaw, Poland
Team size 62,000+ 3,500+
Rating 4.1 / 5 4.0 / 5
Primary differentiator Engineering-heavy services where strategists and builders work as one team 3,500-plus specialists across 20 global offices with a named AI advisory service
Pricing model Retainer or dedicated team, enterprise contracting Dedicated team or retainer
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, AWS, Azure Python, .NET, Java
Industries served Financial services, Healthcare, Retail & e-commerce, Media & entertainment Financial services, Healthcare, Logistics, Automotive

EPAM Systems vs Andersen: overview

EPAM Systems

EPAM Systems was co-founded in 1993 in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and it has been an S&P 500 constituent on the NYSE since 2012. By the end of 2025 it employed roughly 62,850 people across more than 55 countries. Its AI advisory and transformation engineering service runs company-wide, and what sets it apart from a typical Big Four service line is that advisors and the technical build staff sit together rather than handing off between separate teams.

Andersen

Andersen was founded in 2007 and is headquartered in Warsaw, Poland, running more than 3,500 specialists across 20 office locations and 16 development centers globally. Its named AI and data service spans advisory, machine learning, data engineering, and robotic process integration, sitting on top of a broader stack that covers .NET, Java, Python, PHP, and Go. Its client industries run through financial services, healthcare, logistics, automotive, and media.

Services and capabilities: EPAM Systems vs Andersen

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

Tech stack comparison: EPAM Systems vs Andersen

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

Pricing comparison: EPAM Systems vs Andersen

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

Target audience comparison: EPAM Systems vs Andersen

Dimension EPAM Systems Andersen
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Healthcare, Retail & e-commerce Financial services, Healthcare, Logistics
Best use cases Running an AI strategy service that needs to move straight into technical build with the same team., Needing a publicly-traded services provider for audit or procurement compliance reasons. Running an AI advisory service that needs to plug into an existing multi-technology enterprise stack., Adding robotic process integration alongside an AI advisory service.
Typical project type Dedicated team Dedicated team

EPAM Systems vs Andersen: pros and cons

EPAM Systems
+ Public-company financial disclosure that a privately held services firm simply can't offer.
+ Advisors and builders sit together, closing the strategy-to-build handoff gap common at pure advisory firms.
+ Enough scale to run several large AI service programs across regions at once.
+ S&P 500 membership lets enterprise procurement run standard financial due diligence.
- AI services sit inside an enormous engineering business rather than as their own dedicated line
- Enterprise scale generally means slower onboarding and a higher minimum than boutique agencies
Andersen
+ A large global footprint, 20 offices and 16 development centers, supports concurrent enterprise service programs.
+ The named AI and data service isn't just a marketing add-on to broader software services.
+ Nearly two decades of software delivery history across multiple technology stacks.
+ Vertical coverage spans financial services, healthcare, logistics, and automotive.
- AI services are one line within a much larger, multi-stack engineering business
- Scale typically means a more formal sales and onboarding process than smaller agencies

Who should choose EPAM Systems?

A typical fit: running an AI strategy service that needs to move straight into technical build with the same team.

Engineering-heavy services where strategists and builders work as one team. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media & entertainment.

Who should choose Andersen?

A typical fit: running an AI advisory service that needs to plug into an existing multi-technology enterprise stack.

3,500-plus specialists across 20 global offices with a named AI advisory service. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Logistics, Automotive.

Decision matrix: EPAM Systems vs Andersen

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Both offer fixed-price models
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 Andersen (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 Andersen

Use case EPAM Systems fit Andersen fit Winner
Running an AI strategy service that needs to move straight into technical build with the same team. Strong Strong Both equally
Needing a publicly-traded services provider for audit or procurement compliance reasons. Strong Strong Both equally
Running an AI advisory service that needs to plug into an existing multi-technology enterprise stack. Strong Strong Both equally
Adding robotic process integration alongside an AI advisory service. Limited Strong Andersen
Fixed-price project Limited Limited Both equally
Dedicated team model Limited Limited Both equally

Verdict: EPAM Systems vs Andersen

EPAM Systems (4.1/5) is the stronger overall choice for most AI Consulting projects. Engineering-heavy services where strategists and builders work as one team.

Andersen (4.0/5) is worth a look if you need adding robotic process integration alongside an AI advisory service. If your situation matches that, Andersen is a competitive option.

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EPAM Systems vs Andersen FAQ

Is EPAM Systems better than Andersen?

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 a privately held services firm simply can't offer. Andersen's strongest advantage: a large global footprint, 20 offices and 16 development centers, supports concurrent enterprise service programs.

How do EPAM Systems and Andersen differ in pricing?

EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. Andersen uses 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 Andersen?

EPAM Systems 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 EPAM Systems and Andersen?

EPAM Systems's primary differentiator is: engineering-heavy services where strategists and builders work as one team. Andersen's primary differentiator is: 3,500-plus specialists across 20 global offices with a named AI advisory service. They also differ in team size (62,000+ vs 3,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Financial services, Healthcare).

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