Best AI Consulting Agencies

EPAM Systems vs Softermii: full comparison for 2026

Quick verdict

EPAM Systems (4.1/5) edges ahead of Softermii (3.9/5) overall. EPAM Systems is the better choice for enterprises wanting AI advisory paired directly with engineering delivery. Softermii is the stronger option for teams needing AI advisory inside a broader product build. The right choice depends on your project size, budget, and required tech stack.

EPAM Systems vs Softermii: head-to-head summary

Criterion EPAM Systems Softermii
Founded 1993 2014
HQ Newtown, United States Los Angeles, United States
Team size 62,000+ 51-120
Rating 4.1 / 5 3.9 / 5
Primary differentiator Engineering-heavy advisory where strategists and the build team sit together Full-stack product development capability layered with newer AI advisory service lines
Pricing model Retainer or dedicated team, enterprise contracting Fixed project or dedicated team
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, AWS, Azure Python, OpenAI API, React
Industries served Financial services, Healthcare, Retail & e-commerce, Media & entertainment Healthcare, Fintech, Media & entertainment

EPAM Systems vs Softermii: overview

EPAM Systems

EPAM Systems was co-founded in 1993 in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and it's 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 work runs as a company-wide practice, and what separates it from a typical Big Four strategy firm is that its advisors sit directly alongside the technical staff who build what gets recommended, rather than handing off to a separate delivery team.

Softermii

Softermii has run out of Los Angeles since 2014, with reported staff between roughly 88 and 120. Its core identity is custom software and platform development; AI advisory is a newer, growing line rather than the founding specialty. Clients get a partner that builds the full surrounding product, not just an AI recommendation, at the cost of the depth a dedicated AI-only agency can offer.

Services and capabilities: EPAM Systems vs Softermii

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

Tech stack comparison: EPAM Systems vs Softermii

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

Pricing comparison: EPAM Systems vs Softermii

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

Target audience comparison: EPAM Systems vs Softermii

Dimension EPAM Systems Softermii
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Healthcare, Retail & e-commerce Healthcare, Fintech, Media & entertainment
Best use cases Running an AI strategy engagement that needs to move straight into technical build with the same team., Needing a publicly-traded vendor for audit or procurement compliance reasons. Getting AI strategy advice folded directly into an existing web or mobile product roadmap., Building a new product where AI advisory is one input among several.
Typical project type Dedicated team Fixed project

EPAM Systems vs Softermii: pros and cons

EPAM Systems
+ Public-company financial disclosure that a privately held agency simply can't offer.
+ Advisors and builders sit together, avoiding the strategy-to-build handoff gap common at pure advisory firms.
+ Enough scale to run several large AI advisory and build programs across regions simultaneously.
+ S&P 500 membership lets enterprise procurement run standard financial due diligence.
- AI advisory sits inside an enormous engineering business rather than as its own dedicated specialty
- Enterprise scale generally means slower onboarding and a higher minimum than boutique agencies
Softermii
+ Full-stack development means AI strategy recommendations arrive inside a complete working product.
+ Over a decade of US-based software delivery experience.
+ Comfortable across web, mobile, and backend work, not just the AI layer.
+ A mid-size team keeps senior engineers directly involved on most projects.
- AI advisory is a newer service addition rather than a founding specialty
- Employee counts differ by roughly 35% across public trackers

Who should choose EPAM Systems?

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

Engineering-heavy advisory where strategists and the build team sit together. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media & entertainment.

Who should choose Softermii?

A typical fit: getting AI strategy advice folded directly into an existing web or mobile product roadmap.

Full-stack product development capability layered with newer AI advisory service lines. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, Media & entertainment.

Decision matrix: EPAM Systems vs Softermii

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Softermii
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 Softermii (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 Softermii

Use case EPAM Systems fit Softermii fit Winner
Running an AI strategy engagement that needs to move straight into technical build with the same team. Strong Limited EPAM Systems
Needing a publicly-traded vendor for audit or procurement compliance reasons. Strong Limited EPAM Systems
Getting AI strategy advice folded directly into an existing web or mobile product roadmap. Limited Strong Softermii
Building a new product where AI advisory is one input among several. Limited Strong Softermii
Fixed-price project Limited Limited Both equally
Dedicated team model Limited Limited Both equally

Verdict: EPAM Systems vs Softermii

EPAM Systems (4.1/5) is the stronger overall choice for most AI Consulting projects. Engineering-heavy advisory where strategists and the build team sit together.

Softermii (3.9/5) is worth a look if you need building a new product where AI advisory is one input among several. If your situation matches that, Softermii is a competitive option.

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EPAM Systems vs Softermii FAQ

Is EPAM Systems better than Softermii?

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 agency simply can't offer. Softermii's strongest advantage: full-stack development means AI strategy recommendations arrive inside a complete working product.

How do EPAM Systems and Softermii differ in pricing?

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

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 agency before shortlisting.

What are the main differences between EPAM Systems and Softermii?

EPAM Systems's primary differentiator is: engineering-heavy advisory where strategists and the build team sit together. Softermii's primary differentiator is: full-stack product development capability layered with newer AI advisory service lines. They also differ in team size (62,000+ vs 51-120), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Healthcare, Fintech).

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