Tensorway vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.6/5) edges ahead of EPAM Systems (3.8/5) overall. Tensorway is the better choice for mid-market companies wanting a single vendor to cover custom ML model development, computer vision or NLP, and LLM/agentic AI integration under one roof.. EPAM Systems is the stronger option for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. 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 | 51–200 | 10,000+ |
| Rating | 4.6 / 5 | 3.8 / 5 |
| Best for | Mid-market companies wanting a single vendor to cover custom ML model development, computer vision or NLP, and LLM/agentic AI integration under one roof. | The largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner. |
| Pricing model | Time & Material, fixed-price PoC, extended/dedicated team, and MVP development models | Managed services and fixed project |
| Min. engagement | $25K | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, EPAM DIAL, Azure OpenAI |
| Industries served | Healthcare, Finance, Retail, Manufacturing, Entertainment | Financial Services, Healthcare, Retail, Technology/SaaS, Government |
Tensorway vs EPAM Systems: overview
Tensorway
Tensorway is a Spain-based machine learning and AI development company, founded in 2019 and headquartered in Alicante, with roots in Anadea, a longer-running software development firm (per company website; independently unverifiable exact spin-off structure). LinkedIn lists the company in the 51–200 employee band, though its own team page cites a smaller core team of around 28 specialists across data science, ML engineering, DevOps/MLOps, and QA. The firm covers the full ML lifecycle from custom model development through LLM integration and MLOps.
EPAM Systems
EPAM Systems is a global digital engineering company founded in 1993 by Arkadiy Dobkin and Leo Lozner, listed on the NYSE since 2012, with approximately 62,850 employees as of end of 2025. The company has built a proprietary AI orchestration platform, EPAM DIAL, for managing large language models in production, but AI/ML delivery represents one part of an enormous, broadly diversified enterprise engineering portfolio.
Services and capabilities: Tensorway vs EPAM Systems
| Capability | Tensorway | EPAM Systems |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✓ | ✗ |
| NLP & LLM / Generative AI | ✓ | ✓ |
| MLOps & production deployment | ✓ | ✓ |
| Data engineering | ✗ | ✗ |
| AI strategy consulting | ✗ | ✓ |
| Staff augmentation | ✓ | ✓ |
Tech stack comparison: Tensorway vs EPAM Systems
| Framework / platform | Tensorway | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Kubernetes | N/A | ✓ |
| Databricks | N/A | N/A |
| LangChain | ✓ | N/A |
Pricing comparison: Tensorway vs EPAM Systems
| Criterion | Tensorway | EPAM Systems |
|---|---|---|
| Minimum engagement | $25K | Not published |
| Engagement models | Time & Material, Fixed project, Dedicated team | Managed services, Fixed project, Staff augmentation |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Enterprise / not published |
Target audience comparison: Tensorway vs EPAM Systems
| Dimension | Tensorway | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Healthcare, Finance, Retail | Financial Services, Healthcare, Retail |
| Best use cases | Building a computer-vision pipeline for document or image understanding, Integrating a retrieval-augmented LLM chatbot or AI tutor into an existing product | Global enterprises needing AI delivered at a scale only a 60,000+ employee firm can support, Programs that specifically want to leverage the EPAM DIAL LLM orchestration platform |
| Typical project type | Time & Material | Managed services |
Tensorway vs EPAM Systems: pros and cons
| Tensorway | |
|---|---|
| + | Broad technical coverage across classic ML, deep learning, computer vision, NLP, and LLM/agentic frameworks |
| + | Multiple flexible pricing structures, including a fixed-price proof-of-concept option for buyers wary of open-ended T&M |
| + | Explicit MLOps/DevSecOps practice rather than treating deployment as an afterthought |
| + | Backed by Anadea's two-decade software engineering track record for delivery discipline |
| - | Company originated from and is closely tied to Anadea, so buyers should clarify which entity holds the contract and IP (per company website; independently unverifiable parent-subsidiary structure) |
| - | Public case studies name project types (document understanding, customer segmentation) but rarely name enterprise clients |
| - | Smaller core team than several larger competitors on this list, limiting parallel workstream capacity |
| EPAM Systems | |
|---|---|
| + | Largest, most globally distributed team on this list, supporting essentially unlimited program scale |
| + | NYSE listing (since 2012) provides the highest level of public financial transparency among firms reviewed here |
| + | Proprietary EPAM DIAL platform for LLM orchestration shows real internal AI infrastructure investment |
| + | 32 years of continuous operation across more than 55 countries |
| - | AI/ML is a specialization within an enormous generalist engineering portfolio, not the company's defining focus |
| - | Scale of the organization can translate into higher account-management overhead for smaller engagements |
| - | Buyers wanting a boutique, founder-accessible relationship will find that better served by smaller firms on this list |
Who should choose Tensorway?
Tensorway is the right choice for mid-market companies wanting a single vendor to cover custom ML model development, computer vision or NLP, and LLM/agentic AI integration under one roof..
Full-stack ML delivery — data science, MLOps, and LLM/agentic frameworks (LangChain, LangGraph, AutoGen) — in one team.. Minimum engagement starts at $25K. Works best with clients in Healthcare, Finance, Retail, Manufacturing, Entertainment.
Who should choose EPAM Systems?
EPAM Systems is the right choice for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner..
Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL).. Minimum engagement starts at Not published. Works best with clients in Financial Services, Healthcare, Retail, Technology/SaaS, Government.
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 ($25K) vs EPAM Systems (Not published) |
| You need specialist depth in a specific vertical | Tensorway |
| You need staff augmentation or team extension | EPAM Systems |
| You need consulting before committing to a build | EPAM Systems |
Use case fit: Tensorway vs EPAM Systems
| Use case | Tensorway fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Building a computer-vision pipeline for document or image understanding | Strong | Limited | Tensorway |
| Integrating a retrieval-augmented LLM chatbot or AI tutor into an existing product | Strong | Limited | Tensorway |
| Global enterprises needing AI delivered at a scale only a 60,000+ employee firm can support | Limited | Strong | EPAM Systems |
| Programs that specifically want to leverage the EPAM DIAL LLM orchestration platform | Limited | Strong | EPAM Systems |
| Fixed-price build | Strong | Limited | Tensorway |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Tensorway vs EPAM Systems
Tensorway (4.6/5) is the stronger overall choice for most Machine Learning Development projects. Full-stack ML delivery — data science, MLOps, and LLM/agentic frameworks (LangChain, LangGraph, AutoGen) — in one team.. It is best for mid-market companies wanting a single vendor to cover custom ML model development, computer vision or NLP, and LLM/agentic AI integration under one roof..
EPAM Systems (3.8/5) is the better choice when the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. If your situation matches those criteria, 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 is better for mid-market companies wanting a single vendor to cover custom ML model development, computer vision or NLP, and LLM/agentic AI integration under one roof.. EPAM Systems is better for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner..
How do Tensorway and EPAM Systems differ in pricing?
Tensorway uses time & material, fixed-price poc, extended/dedicated team, and mvp development models pricing with a minimum engagement of $25K. EPAM Systems uses managed services and fixed project pricing with a minimum engagement of Not published. 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?
Tensorway 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: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.. EPAM Systems's primary differentiator is: largest headcount on this list (62,000+) with nyse-listed financial transparency and a proprietary llm orchestration platform (epam dial).. They also differ in team size (51–200 vs 10,000+), minimum engagement ($25K vs Not published), and primary industries served (Healthcare, Finance vs Financial Services, Healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.