Best AI Staffing Agencies

Mobilunity vs EPAM Systems: full comparison for 2026

Quick verdict

Mobilunity (4.2/5) edges ahead of EPAM Systems (3.9/5) overall. Mobilunity is the better choice for budget-conscious teams hiring a dedicated AI developer. EPAM Systems is the stronger option for global enterprises with large, compliance-heavy AI programs. The right choice depends on your project size, budget, and required tech stack.

Mobilunity vs EPAM Systems: head-to-head summary

Criterion Mobilunity EPAM Systems
Founded 2010 1993
HQ Kyiv, Ukraine Newtown, Pennsylvania, USA
Team size ~150 on client teams 62,850
Rating 4.2 / 5 3.9 / 5
Primary differentiator Recruits each hire to your spec at one of the lower rate bands here Scale, compliance maturity and vendor certifications
Pricing model Monthly per dedicated developer; part-time consultants; $25–$49/hr (third-party directory band) Enterprise time and materials; dedicated teams; rates on request
Min. engagement 1 dedicated developer Not disclosed
Primary tech stack Python, TensorFlow, PyTorch Claude, OpenAI, Gemini
Industries served SaaS, Fintech, E-commerce, Healthcare Fintech, Healthcare, Retail, Manufacturing, Travel

Mobilunity vs EPAM Systems: overview

Mobilunity

Mobilunity was founded in 2010 in Kyiv, Ukraine, and builds dedicated development teams by recruiting engineers specifically for each client. A company-affiliated post describes about 150 people on full-time client teams, plus a pool of part-time consultants for short skill gaps. It recruits AI roles on request; one recent DOU posting sought an LLM and generative-AI data scientist on behalf of a U.S. client. Third-party directories list average rates of $25–$49 per hour.

EPAM Systems

EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, with about 62,850 employees as of June 30, 2026, of whom roughly 56,650 work in delivery. It reports more than 5,700 Claude-certified engineers and set a target of 10,000, along with thousands of OpenAI- and Gemini-certified specialists. The company is targeting $600 million in AI-native services revenue for 2026. Its model is enterprise delivery, so individual staff augmentation usually sits inside a larger program.

Services and capabilities: Mobilunity vs EPAM Systems

Capability Mobilunity EPAM Systems
LLM / GenAI engineers ✓ ✓
MLOps & deployment ✗ ✓
Computer vision ✗ ✗
Data engineering ✗ ✓
AI agent development ✗ ✗
Fractional / part-time experts ✓ ✗
Risk-free trial period ✗ ✗
Nearshore time-zone overlap ✗ ✗

Tech stack comparison: Mobilunity vs EPAM Systems

Framework / platform Mobilunity EPAM Systems
PyTorch ✓ N/A
TensorFlow ✓ N/A
LangChain N/A N/A
Hugging Face N/A N/A
OpenAI ✓ ✓
AWS SageMaker N/A ✓
Azure ML N/A ✓
Databricks N/A ✓
MLflow N/A N/A
Kubernetes N/A N/A

Pricing comparison: Mobilunity vs EPAM Systems

Criterion Mobilunity EPAM Systems
Minimum engagement 1 dedicated developer Not disclosed
Engagement models Full-time dedicated engineers, Part-time fractional experts, Dedicated team Dedicated team, Managed delivery
Rate transparency Minimum disclosed Not public
Price tier Accessible Mid-market

Target audience comparison: Mobilunity vs EPAM Systems

Dimension Mobilunity EPAM Systems
Best company size Startup to mid-market Startup to mid-market
Best industries SaaS, Fintech, E-commerce Fintech, Healthcare, Retail
Best use cases Hiring one dedicated ML engineer on a tight budget, Bringing in a part-time LLM consultant for a short evaluation Staffing a multi-team GenAI program at a global bank, Adding certified Claude engineers to an enterprise AI platform
Typical project type Full-time dedicated engineers Dedicated team

Mobilunity vs EPAM Systems: pros and cons

Mobilunity
+ Hires to your exact profile instead of matching from a fixed bench
+ One of the lower published rate bands on this list
+ Part-time consultants are available for short skill gaps
+ Long experience with the admin side of employing Ukrainian engineers for foreign clients
- Recruiting from scratch takes longer than placing an existing bench engineer
- Technical screening depth depends on your own interview process
- No dedicated AI practice; AI roles are recruited case by case
EPAM Systems
+ Largest bench on this list, with security and compliance processes to match
+ Thousands of engineers certified on major model platforms
+ Can staff any role an AI program needs
- Built for enterprise programs; a single-engineer request is a poor fit
- Highest overhead and slowest procurement on this list
- Rates not published

Who should choose Mobilunity?

A typical fit: hiring one dedicated ML engineer on a tight budget.

Recruits each hire to your spec at one of the lower rate bands here. Minimum engagement starts at 1 dedicated developer. Works best with clients in SaaS, Fintech, E-commerce, Healthcare.

Who should choose EPAM Systems?

A typical fit: staffing a multi-team GenAI program at a global bank.

Scale, compliance maturity and vendor certifications. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail, Manufacturing, Travel.

Decision matrix: Mobilunity vs EPAM Systems

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 Mobilunity
Your budget is at the lower end Compare: Mobilunity (1 dedicated developer) vs EPAM Systems (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 Both may offer discovery engagements

Use case fit: Mobilunity vs EPAM Systems

Use case Mobilunity fit EPAM Systems fit Winner
Hiring one dedicated ML engineer on a tight budget Strong Limited Mobilunity
Bringing in a part-time LLM consultant for a short evaluation Strong Limited Mobilunity
Staffing a multi-team GenAI program at a global bank Limited Strong EPAM Systems
Adding certified Claude engineers to an enterprise AI platform Limited Strong EPAM Systems

Verdict: Mobilunity vs EPAM Systems

Mobilunity (4.2/5) is the stronger overall choice for most AI Staffing projects. Recruits each hire to your spec at one of the lower rate bands here.

EPAM Systems (3.9/5) is worth a look if you need adding certified Claude engineers to an enterprise AI platform. If your situation matches that, EPAM Systems is a competitive option.

Related comparisons

Mobilunity vs EPAM Systems FAQ

Is Mobilunity better than EPAM Systems?

Mobilunity (4.2/5) scores higher overall, but "better" depends on your use case. Mobilunity's strongest advantage: hires to your exact profile instead of matching from a fixed bench. EPAM Systems's strongest advantage: largest bench on this list, with security and compliance processes to match.

How do Mobilunity and EPAM Systems differ in pricing?

Mobilunity uses monthly per dedicated developer; part-time consultants; $25–$49/hr (third-party directory band) pricing with a minimum engagement of 1 dedicated developer. EPAM Systems uses enterprise time and materials; dedicated teams; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Mobilunity or EPAM Systems?

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 Mobilunity and EPAM Systems?

Mobilunity's primary differentiator is: recruits each hire to your spec at one of the lower rate bands here. EPAM Systems's primary differentiator is: Scale, compliance maturity and vendor certifications. They also differ in team size (~150 on client teams vs 62,850), minimum engagement (1 dedicated developer vs Not disclosed), and primary industries served (SaaS, Fintech vs Fintech, Healthcare).

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