Best Generative AI Development Services

EPAM Systems vs Belitsoft: full comparison for 2026

Quick verdict

EPAM Systems (4.1/5) edges ahead of Belitsoft (3.9/5) overall. EPAM Systems is the better choice for global enterprises running generative AI at massive scale. Belitsoft is the stronger option for teams wanting generative AI from an established staff augmentation partner. The right choice depends on your project size, budget, and required tech stack.

EPAM Systems vs Belitsoft: head-to-head summary

Criterion EPAM Systems Belitsoft
Founded 1993 2004
HQ Newtown, United States Warsaw, Poland
Team size 62,000+ 250-400
Rating 4.1 / 5 3.9 / 5
Primary differentiator Public-company scale (NYSE: EPAM) with financial transparency few competitors offer Twenty years of outsourcing delivery with generative AI added as a distinctly recent practice
Pricing model Retainer or dedicated team, enterprise contracting Dedicated team or staff augmentation
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, OpenAI API, AWS Python, OpenAI API, AWS
Industries served Financial services, Healthcare, Retail & e-commerce, Media & entertainment Healthcare, Fintech, E-learning

EPAM Systems vs Belitsoft: 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, a scale category no other agency on this list approaches. Generative AI transformation engineering is a marketed practice area, but at this size it functions as part of a much larger digital engineering business rather than a standalone specialty.

Belitsoft

Belitsoft was founded in 2004 and is headquartered in Warsaw, Poland, with over 250 core employees and more than 400 developers, testers, and DevOps staff distributed across Poland, Latvia, and Georgia. The company expanded into cloud and generative AI development in 2024, layering AI solutions on top of an already-established web and mobile development and team augmentation business. That makes generative AI a genuinely recent addition rather than a rebrand of older services.

Services and capabilities: EPAM Systems vs Belitsoft

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

Tech stack comparison: EPAM Systems vs Belitsoft

Framework / platform EPAM Systems Belitsoft
Python
OpenAI API
PyTorch N/A N/A
LangChain N/A N/A
AWS
Azure N/A
Kubernetes N/A N/A

Pricing comparison: EPAM Systems vs Belitsoft

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

Target audience comparison: EPAM Systems vs Belitsoft

Dimension EPAM Systems Belitsoft
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Healthcare, Retail & e-commerce Healthcare, Fintech, E-learning
Best use cases Running a generative AI transformation program spanning multiple business units and regions., Needing a publicly-traded vendor for audit or procurement compliance reasons. Augmenting an internal team with generative AI engineers on a staff-aug basis., Working with an established outsourcing partner newly investing in generative AI.
Typical project type Dedicated team Dedicated team

EPAM Systems vs Belitsoft: pros and cons

EPAM Systems
+ Public-company financial disclosure that no private agency on this list can match.
+ Scale to staff several large generative AI programs across regions simultaneously.
+ S&P 500 membership lets enterprise procurement teams vet it through standard due diligence.
+ Partnerships span all three major cloud hyperscalers.
- Generative AI sits inside an enormous engineering business rather than as a dedicated specialty
- Scale generally means slower onboarding and higher minimum engagement than boutique firms
Belitsoft
+ Two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia.
+ Transparent about generative AI being a 2024 addition rather than overstating a longer history.
+ Over 400 combined technical staff supports flexible team augmentation.
+ Established e-learning industry presence gives it relevant vertical experience.
- Generative AI practice is genuinely new as of 2024, with a shorter track record than most on this list
- AI sits alongside a broader outsourcing business rather than as the firm's core identity

Who should choose EPAM Systems?

A typical fit: running a generative AI transformation program spanning multiple business units and regions.

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.

Who should choose Belitsoft?

A typical fit: augmenting an internal team with generative AI engineers on a staff-aug basis.

Twenty years of outsourcing delivery with generative AI added as a distinctly recent practice. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, E-learning.

Decision matrix: EPAM Systems vs Belitsoft

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 Belitsoft (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 Belitsoft

Use case EPAM Systems fit Belitsoft fit Winner
Running a generative AI transformation program spanning multiple business units and regions. Strong Limited EPAM Systems
Needing a publicly-traded vendor for audit or procurement compliance reasons. Strong Limited EPAM Systems
Augmenting an internal team with generative AI engineers on a staff-aug basis. Limited Strong Belitsoft
Working with an established outsourcing partner newly investing in generative AI. Limited Strong Belitsoft
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Strong Belitsoft

Verdict: EPAM Systems vs Belitsoft

EPAM Systems (4.1/5) is the stronger overall choice for most Generative AI Development projects. Public-company scale (NYSE: EPAM) with financial transparency few competitors offer.

Belitsoft (3.9/5) is worth a look if you need working with an established outsourcing partner newly investing in generative AI. If your situation matches that, Belitsoft is a competitive option.

Related comparisons

EPAM Systems vs Belitsoft FAQ

Is EPAM Systems better than Belitsoft?

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 agency on this list can match. Belitsoft's strongest advantage: two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia.

How do EPAM Systems and Belitsoft differ in pricing?

EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. Belitsoft uses dedicated team or staff augmentation 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 Belitsoft?

Belitsoft 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 Belitsoft?

EPAM Systems's primary differentiator is: public-company scale (NYSE: EPAM) with financial transparency few competitors offer. Belitsoft's primary differentiator is: twenty years of outsourcing delivery with generative AI added as a distinctly recent practice. They also differ in team size (62,000+ vs 250-400), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Healthcare, Fintech).

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