Tensorway vs EPAM Systems: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of EPAM Systems (3.9/5) overall. Tensorway is the better choice for product teams adding AI engineers fast, two-week trial. 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.
Tensorway vs EPAM Systems: head-to-head summary
| Criterion | Tensorway | EPAM Systems |
|---|---|---|
| Founded | 2019 | 1993 |
| HQ | Alicante, Spain | Newtown, Pennsylvania, USA |
| Team size | 50–249 | 62,850 |
| Rating | 4.8 / 5 | 3.9 / 5 |
| Primary differentiator | Engineer-led screening with a free replacement if a hire doesn't fit | Scale, compliance maturity and vendor certifications |
| Pricing model | Monthly rate for full-time dedicated engineers; hourly or weekly billing for part-time fractional experts; two-week trial sprint; rate card on request | Enterprise time and materials; dedicated teams; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | PyTorch, TensorFlow, LangChain | Claude, OpenAI, Gemini |
| Industries served | Healthcare, Legal services, SaaS, Fintech, E-commerce and retail, Manufacturing, Logistics | Fintech, Healthcare, Retail, Manufacturing, Travel |
Tensorway vs EPAM Systems: overview
Tensorway
Tensorway is an AI engineering company founded in 2019 and based in Alicante, Spain, with more than 20 years of software engineering experience in its leadership and delivery processes. Its staff-augmentation service places ML engineers, LLM engineers, AI agent developers, MLOps engineers, computer-vision and NLP specialists, data engineers and RAG specialists directly into a client's own team, where they work in the client's Slack, Jira and repositories. Candidates are screened by senior AI engineers through a code review, a practical task in their specialization and a communication check, so the client receives a shortlist of two or three people that is already technically vetted. Tensorway handles contracts and admin; the first engineer typically starts within one to two weeks and a full squad within three to four weeks (per company website; independently unverifiable). One published case study describes a U.S. law practice, Liner Legal, cutting medical-record processing from about a week to 5–15 minutes (per company website; independently unverifiable).
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: Tensorway vs EPAM Systems
| Capability | Tensorway | 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: Tensorway vs EPAM Systems
| Framework / platform | Tensorway | EPAM Systems |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | ✓ |
| AWS SageMaker | N/A | ✓ |
| Azure ML | N/A | ✓ |
| Databricks | N/A | ✓ |
| MLflow | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Tensorway vs EPAM Systems
| Criterion | Tensorway | EPAM Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Full-time dedicated engineers, Part-time fractional experts, Trial period | Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs EPAM Systems
| Dimension | Tensorway | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Legal services, SaaS | Fintech, Healthcare, Retail |
| Best use cases | Adding an LLM engineer and a RAG specialist to an existing SaaS product team, Trialing a single ML engineer for two weeks before committing to a monthly contract | 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 |
Tensorway vs EPAM Systems: pros and cons
| Tensorway | |
|---|---|
| + | Candidates are screened by working AI engineers through a code review and a practical task, so your interviews can focus on team fit |
| + | A shortlist of two or three people usually arrives within a week of the discovery call |
| + | A poor fit is replaced at no cost, and the monthly commitment can be adjusted between sprints |
| + | All code, documentation and trained models stay in your repositories, which keeps vendor lock-in off the table |
| + | Contracts, local employment paperwork and benefits admin are handled by Tensorway rather than your HR team |
| - | No public rate card, so budgeting starts with a sales call |
| - | The bench is far smaller than the large talent networks, which matters if you need ten or more engineers at once |
| - | AI and ML roles only; general full-stack or QA staffing is out of scope |
| - | Time-zone overlap is arranged per engagement instead of guaranteed by a fixed nearshore location |
| 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 Tensorway?
A typical fit: adding an LLM engineer and a RAG specialist to an existing SaaS product team.
Engineer-led screening with a free replacement if a hire doesn't fit. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Legal services, SaaS, Fintech, E-commerce and retail, Manufacturing, Logistics.
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: Tensorway 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 | Tensorway |
| Your budget is at the lower end | Compare: Tensorway (Not disclosed) vs EPAM Systems (Not disclosed) |
| You need specialist depth in a specific vertical | Tensorway |
| 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: Tensorway vs EPAM Systems
| Use case | Tensorway fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Adding an LLM engineer and a RAG specialist to an existing SaaS product team | Strong | Strong | Both equally |
| Trialing a single ML engineer for two weeks before committing to a monthly contract | Strong | Limited | Tensorway |
| Staffing a multi-team GenAI program at a global bank | Strong | Strong | Both equally |
| Adding certified Claude engineers to an enterprise AI platform | Strong | Strong | Both equally |
Verdict: Tensorway vs EPAM Systems
Tensorway (4.8/5) is the stronger overall choice for most AI Staffing projects. Engineer-led screening with a free replacement if a hire doesn't fit.
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
Tensorway vs EPAM Systems FAQ
Is Tensorway better than EPAM Systems?
Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: candidates are screened by working AI engineers through a code review and a practical task, so your interviews can focus on team fit. EPAM Systems's strongest advantage: largest bench on this list, with security and compliance processes to match.
How do Tensorway and EPAM Systems differ in pricing?
Tensorway uses monthly rate for full-time dedicated engineers; hourly or weekly billing for part-time fractional experts; two-week trial sprint; rate card on request pricing. 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: Tensorway 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 Tensorway and EPAM Systems?
Tensorway's primary differentiator is: engineer-led screening with a free replacement if a hire doesn't fit. EPAM Systems's primary differentiator is: Scale, compliance maturity and vendor certifications. They also differ in team size (50–249 vs 62,850), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Legal services vs Fintech, Healthcare).
Verify all details directly with each agency before making a decision.