Tensorway vs EPAM Systems: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of EPAM Systems (4.1/5) overall. Tensorway is the better choice for regulated-industry teams needing compliant, production AI. EPAM Systems is the stronger option for fortune 500 buyers needing AI at global engineering scale. 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, United States |
| Team size | 20-50 | 62,000+ |
| Rating | 4.8 / 5 | 4.1 / 5 |
| Primary differentiator | Full IP transfer plus GDPR/HIPAA/ISO-certified delivery on every engagement | Public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice |
| Pricing model | Fixed-scope project, dedicated team, or paid discovery phase | Retainer or dedicated team, enterprise contracting |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, AWS, Azure |
| Industries served | Legal, Private equity & finance, E-learning, Sports & media | Financial services, Healthcare, Retail & e-commerce, Media & entertainment |
Tensorway vs EPAM Systems: overview
Tensorway
Tensorway was set up in 2019 as the applied-AI arm of Anadea, a custom software development company operating out of Alicante, Spain since 2000. The unit runs a standalone team of deep learning architects, MLOps engineers, ML engineers, and QAs focused entirely on machine learning, computer vision, NLP, and generative AI builds, rather than treating AI as one line item inside a general software development company. Delivery is documented as GDPR, HIPAA, ISO 9001, and ISO 27001 compliant, which matters more here than in most software categories given how much AI work touches regulated client data. Case work spans an agentic essay-evaluation tutor for an Australian e-learning client, a legal document automation agent used at roughly 90% accuracy in a US law practice (per company website; independently unverifiable), and a private equity deal-sourcing agent built for a Swedish investment firm.
EPAM Systems
EPAM Systems was founded in 1993 in New Jersey and Minsk by Arkadiy Dobkin and Leo Lozner, and has traded on the New York Stock Exchange since 2012 as a member of the S&P 500. The company employed roughly 62,850 people across more than 55 countries at the end of 2025, which puts it in a different capacity class from every other firm on this list. EPAM markets itself as a leader in AI transformation engineering, and its scale means AI work is one part of a much larger digital engineering and cloud transformation business rather than the whole of it.
Services and capabilities: Tensorway vs EPAM Systems
| Capability | Tensorway | EPAM Systems |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✓ |
| AI agents | ✓ | ✗ |
| MLOps | ✓ | ✓ |
| AI consulting | ✓ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Tensorway vs EPAM Systems
| Framework / platform | Tensorway | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | ✓ | ✓ |
Pricing comparison: Tensorway vs EPAM Systems
| Criterion | Tensorway | EPAM Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team, Discovery phase | Dedicated team, Retainer |
| 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 | Legal, Private equity & finance, E-learning | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Building a document-understanding agent that needs to hit compliance requirements from day one., Turning an existing manual review process (legal, financial, medical) into an AI-assisted workflow. | Running an AI transformation program that spans multiple business units at once., Needing a publicly-traded vendor for procurement or audit reasons. |
| Typical project type | Fixed project | Dedicated team |
Tensorway vs EPAM Systems: pros and cons
| Tensorway | |
|---|---|
| + | AI-only team rather than a generalist firm with AI bolted on. |
| + | Certified against GDPR, HIPAA, ISO 9001, and ISO 27001 for regulated-data work. |
| + | Backed by Anadea's 25 years of delivery infrastructure without diluting AI focus. |
| + | Transfers full IP ownership to the client at project close. |
| + | Ships an early working prototype within weeks rather than months of scoping. |
| - | A 20-50 person team caps how many large engagements can run in parallel |
| - | Published case studies skew toward pilot and early-production scale rather than enterprise-wide rollouts |
| EPAM Systems | |
|---|---|
| + | Public-company financial transparency and stability that private firms on this list can't match. |
| + | Scale to staff multiple large AI programs across regions simultaneously. |
| + | S&P 500 membership signals enterprise procurement teams can vet it through standard due diligence. |
| + | Cloud partnerships span all three major hyperscalers. |
| - | AI is one line of business inside a much larger engineering firm, not a dedicated specialty |
| - | Enterprise scale typically means longer sales cycles and higher minimum engagement sizes than boutiques |
Who should choose Tensorway?
A typical fit: building a document-understanding agent that needs to hit compliance requirements from day one.
Full IP transfer plus GDPR/HIPAA/ISO-certified delivery on every engagement. Minimum engagement is not publicly disclosed. Works best with clients in Legal, Private equity & finance, E-learning, Sports & media.
Who should choose EPAM Systems?
A typical fit: running an AI transformation program that spans multiple business units at once.
Public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Media & entertainment.
Decision matrix: Tensorway vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Tensorway |
| 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 | Tensorway |
Use case fit: Tensorway vs EPAM Systems
| Use case | Tensorway fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Building a document-understanding agent that needs to hit compliance requirements from day one. | Strong | Limited | Tensorway |
| Turning an existing manual review process (legal, financial, medical) into an AI-assisted workflow. | Strong | Limited | Tensorway |
| Running an AI transformation program that spans multiple business units at once. | Limited | Strong | EPAM Systems |
| Needing a publicly-traded vendor for procurement or audit reasons. | Limited | Strong | EPAM Systems |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Tensorway vs EPAM Systems
Tensorway (4.8/5) is the stronger overall choice for most AI Development projects. Full IP transfer plus GDPR/HIPAA/ISO-certified delivery on every engagement.
EPAM Systems (4.1/5) is worth a look if you need needing a publicly-traded vendor for procurement or audit reasons. 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: AI-only team rather than a generalist firm with AI bolted on. EPAM Systems's strongest advantage: public-company financial transparency and stability that private firms on this list can't match.
How do Tensorway and EPAM Systems differ in pricing?
Tensorway uses fixed-scope project, dedicated team, or paid discovery phase pricing. EPAM Systems uses retainer or dedicated team, enterprise contracting 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 company before shortlisting.
What are the main differences between Tensorway and EPAM Systems?
Tensorway's primary differentiator is: full IP transfer plus GDPR/HIPAA/ISO-certified delivery on every engagement. EPAM Systems's primary differentiator is: public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice. They also differ in team size (20-50 vs 62,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Legal, Private equity & finance vs Financial services, Healthcare).
Verify all details directly with each company before making a decision.