Tensorway vs EPAM Systems: full comparison for 2026
Quick verdict
Tensorway (4.6/5) edges ahead of EPAM Systems (4.1/5) overall. Tensorway is the better choice for buyers who want one agency to own both the strategy and the build. EPAM Systems is the stronger option for enterprises wanting AI advisory paired directly with engineering delivery. 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 | 4.6 / 5 | 4.1 / 5 |
| Primary differentiator | A published 11-step methodology covering everything from data profiling to model validation | An engineering-heavy advisory model that pairs strategists with the actual build team |
| 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 is the applied-AI agency spun out of a longer-running Alicante, Spain software house with roughly 25 years of prior delivery history; it launched as a standalone unit in 2019 and now runs a team of 20-50 deep learning architects, MLOps engineers, ML engineers, and QAs. What distinguishes it from most boutique agencies its size is a published 11-step process, running from challenge scoping and data profiling through feasibility study and model validation, with strategy work kept deliberately connected to the same team that builds. The agency states its goal plainly: finding AI use cases with real return, not the ones that just sound impressive in a pitch deck.
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.
Services and capabilities: Tensorway vs EPAM Systems
| Capability | Tensorway | EPAM Systems |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✓ |
| Data engineering | ✓ | ✗ |
| MLOps | ✓ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Tensorway vs EPAM Systems
| Framework / platform | Tensorway | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| LangChain | ✓ | N/A |
| PyTorch | ✓ | N/A |
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 | Wanting a readiness assessment that flows straight into implementation with the same accountable team., Auditing an AI system that's already live but underperforming. | 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. |
| Typical project type | Fixed project | Dedicated team |
Tensorway vs EPAM Systems: pros and cons
| Tensorway | |
|---|---|
| + | No handoff gap between strategy and build, since the same team owns both phases. |
| + | A published, named methodology gives buyers something concrete to interrogate during vetting, not a vague framework. |
| + | Certified against GDPR, HIPAA, ISO 9001, and ISO 27001 out of the box. |
| + | Backed by its parent company's 25 years of delivery infrastructure while staying AI-only in focus. |
| + | Client recognition from Clutch, PMI, Fortune, and Manifest, per the agency's own site. |
| - | A 20-50 person agency has a real ceiling on how many large strategy programs it can run at once |
| - | No published pricing tiers, so budgeting requires a direct scoping conversation upfront |
| 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 |
Who should choose Tensorway?
A typical fit: wanting a readiness assessment that flows straight into implementation with the same accountable team.
A published 11-step methodology covering everything from data profiling to model validation. 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 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.
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 |
|---|---|---|---|
| Wanting a readiness assessment that flows straight into implementation with the same accountable team. | Strong | Limited | Tensorway |
| Auditing an AI system that's already live but underperforming. | Strong | Limited | Tensorway |
| Running an AI strategy engagement that needs to move directly into technical build with the same team. | Limited | Strong | EPAM Systems |
| Needing a publicly-traded agency for audit or procurement compliance reasons. | Limited | Strong | EPAM Systems |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: Tensorway vs EPAM Systems
Tensorway (4.6/5) is the stronger overall choice for most AI Consulting projects. A published 11-step methodology covering everything from data profiling to model validation.
EPAM Systems (4.1/5) is worth a look if you need needing a publicly-traded agency for audit or procurement compliance 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 (4.6/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: no handoff gap between strategy and build, since the same team owns both phases. EPAM Systems's strongest advantage: public-company financial disclosure that no privately held agency on this list can 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 agency before shortlisting.
What are the main differences between Tensorway and EPAM Systems?
Tensorway's primary differentiator is: a published 11-step methodology covering everything from data profiling to model validation. EPAM Systems's primary differentiator is: an engineering-heavy advisory model that pairs strategists with the actual build team. 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 agency before making a decision.