Top AI Consulting Agencies

EPAM Systems vs 10Pearls: full comparison for 2026

Quick verdict

EPAM Systems (4.1/5) edges ahead of 10Pearls (3.9/5) overall. EPAM Systems is the better choice for enterprises wanting AI advisory paired directly with engineering delivery. 10Pearls is the stronger option for enterprises wanting AI advisory bundled with digital transformation. The right choice depends on your project size, budget, and required tech stack.

EPAM Systems vs 10Pearls: head-to-head summary

Criterion EPAM Systems 10Pearls
Founded 1993 2004
HQ Newtown, United States Vienna, United States
Team size 62,000+ 1,800-1,950
Rating 4.1 / 5 3.9 / 5
Primary differentiator An engineering-heavy advisory model that pairs strategists with the actual build team Two decades of digital transformation delivery with AI advisory as an established add-on
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, AWS, Azure
Industries served Financial services, Healthcare, Retail & e-commerce, Media & entertainment Financial services, Healthcare, Retail & e-commerce

EPAM Systems vs 10Pearls: overview

EPAM Systems

EPAM Systems was co-founded in 1993 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 advisory and transformation engineering runs as a marketed practice across the firm, distinguished from pure Big Four strategy firms by EPAM's engineering-heavy delivery model: advisors sit alongside the technical staff who actually build what gets recommended.

10Pearls

10Pearls was founded in 2004 by brothers Imran and Zeeshan Aftab and is headquartered in Vienna, Virginia. The firm operates across six countries with roughly 1,800-1,950 employees, and one source cites 2024 revenue near $358 million. Its core business is software development, product design, and digital transformation broadly, with AI advisory positioned as one service line inside that larger practice.

Services and capabilities: EPAM Systems vs 10Pearls

Capability EPAM Systems 10Pearls
AI strategy consulting
Generative AI
Machine learning
Data engineering
MLOps
Fixed-price projects
Dedicated team model

Tech stack comparison: EPAM Systems vs 10Pearls

Framework / platform EPAM Systems 10Pearls
Python
AWS
Azure
Google Cloud N/A
Kubernetes
LangChain N/A N/A
PyTorch N/A N/A

Pricing comparison: EPAM Systems vs 10Pearls

Criterion EPAM Systems 10Pearls
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 10Pearls

Dimension EPAM Systems 10Pearls
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Healthcare, Retail & e-commerce Financial services, Healthcare, Retail & e-commerce
Best use cases Running an AI strategy engagement that needs to move directly into technical build with the same team., Needing a publicly-traded agency for audit or procurement compliance reasons. Bundling an AI strategy engagement into a larger digital transformation contract., Needing a financially stable US agency for a multi-year enterprise engagement.
Typical project type Dedicated team Dedicated team

EPAM Systems vs 10Pearls: pros and cons

EPAM Systems
+ Public-company financial disclosure that no privately held agency on this list can match.
+ The engineering-heavy delivery model avoids the strategy-to-build handoff gap common at pure advisory firms.
+ Enough scale to staff several large AI advisory and build programs across regions at once.
+ S&P 500 membership lets enterprise procurement teams vet the firm through standard due diligence.
- AI advisory sits inside an enormous engineering business rather than functioning as a dedicated specialty
- Enterprise scale generally means slower onboarding and a higher minimum engagement than boutique agencies
10Pearls
+ Reported revenue near $358 million signals financial stability for long engagements.
+ Twenty-plus years of digital transformation delivery experience.
+ A US headquarters simplifies contracting for domestic enterprise buyers.
+ A six-country delivery footprint supports round-the-clock development cycles.
- AI advisory is one of several service lines rather than the agency's primary specialty
- Scale means engagement minimums are typically higher than boutique AI agencies

Who should choose EPAM Systems?

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

An engineering-heavy advisory model that pairs strategists with the actual build team. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media & entertainment.

Who should choose 10Pearls?

A typical fit: bundling an AI strategy engagement into a larger digital transformation contract.

Two decades of digital transformation delivery with AI advisory as an established add-on. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce.

Decision matrix: EPAM Systems vs 10Pearls

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 10Pearls (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 10Pearls

Use case EPAM Systems fit 10Pearls fit Winner
Running an AI strategy engagement that needs to move directly into technical build with the same team. Strong Strong Both equally
Needing a publicly-traded agency for audit or procurement compliance reasons. Strong Strong Both equally
Bundling an AI strategy engagement into a larger digital transformation contract. Limited Strong 10Pearls
Needing a financially stable US agency for a multi-year enterprise engagement. Strong Strong Both equally
Fixed-price project Limited Limited Both equally
Dedicated team model Limited Limited Both equally

Verdict: EPAM Systems vs 10Pearls

EPAM Systems (4.1/5) is the stronger overall choice for most AI Consulting projects. An engineering-heavy advisory model that pairs strategists with the actual build team.

10Pearls (3.9/5) is worth a look if you need needing a financially stable US agency for a multi-year enterprise engagement. If your situation matches that, 10Pearls is a competitive option.

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EPAM Systems vs 10Pearls FAQ

Is EPAM Systems better than 10Pearls?

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 privately held agency on this list can match. 10Pearls's strongest advantage: reported revenue near $358 million signals financial stability for long engagements.

How do EPAM Systems and 10Pearls differ in pricing?

EPAM Systems uses retainer or dedicated team, enterprise contracting pricing. 10Pearls 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 10Pearls?

10Pearls is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.

What are the main differences between EPAM Systems and 10Pearls?

EPAM Systems's primary differentiator is: an engineering-heavy advisory model that pairs strategists with the actual build team. 10Pearls's primary differentiator is: two decades of digital transformation delivery with AI advisory as an established add-on. They also differ in team size (62,000+ vs 1,800-1,950), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Financial services, Healthcare).

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