Best ML Development Services

Tensorway vs EPAM Systems: full comparison for 2026

Last updated: July 2026

Quick verdict

Tensorway (4.6/5) edges ahead of EPAM Systems (4.0/5) overall. Tensorway is the better choice for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent.. EPAM Systems is the stronger option for large enterprises with $100K+ AI budgets that need a publicly traded, globally scaled 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, United States
Team size 50–249 50,000+
Rating 4.6 / 5 4.0 / 5
Best for Fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent. Large enterprises with $100K+ AI budgets that need a publicly traded, globally scaled engineering partner.
Pricing model Project-based, time & materials Time & materials, managed engagement
Min. engagement $10,000+ $100,000+
Primary tech stack TensorFlow, PyTorch, OpenCV AWS SageMaker, Azure ML, Databricks
Industries served FinTech, Healthcare, Retail & E-commerce, EdTech FinTech, Healthcare, Retail & E-commerce, Manufacturing, Telecom

Tensorway vs EPAM Systems: overview

Tensorway

Tensorway was founded in 2019 as an AI-focused unit of Anadea, a 20+ year software development company, and had its public launch in 2023. Based in Alicante, Spain with a team in the 50–249 band (per Clutch), the firm delivers machine learning, deep learning, computer vision, and NLP projects for fintech, healthcare, retail, and edtech clients, with post-deployment model retraining and 24/7 support included in its engagement model. Because Tensorway operates as a spin-out rather than a fully independent company, prospective clients should confirm current ownership and delivery-team overlap with Anadea before signing.

EPAM Systems

EPAM Systems, Inc. (NYSE: EPAM) has operated since 1993 and has become one of the largest global digital transformation and engineering services providers, with a workforce in the tens of thousands. Its AI development services span generative AI, machine learning consulting, and intelligent automation, delivered by consultants, designers, and engineers who have worked with AI technologies for decades, and Clutch lists a minimum project size of $100,000+ with $150–$199/hr average rates. As a large publicly traded firm, EPAM offers the deepest compliance and financial transparency in this list, at a correspondingly higher entry price point.

Services and capabilities: Tensorway vs EPAM Systems

Capability Tensorway EPAM Systems
Custom ML Models
Computer Vision
NLP
MLOps
Generative AI
AI Consulting

Tech stack comparison: Tensorway vs EPAM Systems

Framework / platform Tensorway EPAM Systems
TensorFlow N/A
PyTorch N/A
AWS
Azure N/A
Google Cloud N/A N/A
LangChain N/A N/A
Hugging Face N/A N/A
Kubernetes N/A

Pricing comparison: Tensorway vs EPAM Systems

Criterion Tensorway EPAM Systems
Minimum engagement $10,000+ $100,000+
Engagement models Project-based, Time & materials Managed engagement, Time & materials, Staff augmentation
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible 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 FinTech, Healthcare, Retail & E-commerce FinTech, Healthcare, Retail & E-commerce
Best use cases Fintech or healthcare startup needs a computer vision or NLP model built with ongoing retraining support., Retail company wants a boutique EU vendor instead of a large outsourcing firm for a scoped ML project. Large enterprise with a $100K+ budget needs a publicly traded vendor for AI/ML procurement compliance requirements., Fortune 500 company needs generative AI deployed at global scale with responsible-AI governance built in.
Typical project type Project-based Managed engagement

Tensorway vs EPAM Systems: pros and cons

Tensorway
+ Backed by Anadea's 20+ years of software delivery experience, reducing the operational-risk profile typical of a 2019-founded firm.
+ Post-deployment model retraining and 24/7 support are included rather than sold as a separate line item.
+ $10,000+ minimum project size is accessible for mid-sized fintech and healthcare teams, not just large enterprises.
+ Focused service scope (ML, DL, computer vision, NLP) avoids the generalist sprawl of larger IT outsourcers.
- As a unit spun out of Anadea in 2019 with a 2023 public launch, its independent track record is shorter than its 20-year parent-company narrative implies.
- 50–249 employee band (per Clutch) is wide, making it hard to confirm how many staff are dedicated specifically to ML work.
- Smaller public case-study footprint than larger regional peers like SoftServe or N-iX.
EPAM Systems
+ Publicly traded on the NYSE, giving clients access to audited financial disclosures unavailable from private competitors.
+ 50,000+ global workforce provides essentially unlimited delivery capacity for the largest enterprise AI programs.
+ 31+ years of engineering history (since 1993) predates the current AI hiring wave by decades.
+ AI/generative AI practice spans strategy through production deployment and responsible-AI compliance, covering the full enterprise lifecycle.
+ Scale/compliance standout among the researched companies — the clearest choice for regulated, large-budget enterprise programs.
- $100,000+ minimum project size (per Clutch) puts EPAM out of reach for startups and mid-market budgets under six figures.
- $150–$199/hr rate band is among the highest in this list, reflecting large-firm overhead.
- At 50,000+ employees, AI/ML is one practice among dozens — clients should confirm they're getting a dedicated AI pod, not a generalist team.

Who should choose Tensorway?

Tensorway is the right choice for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent..

AI boutique backed by 20+ years of software delivery experience via parent company Anadea.. Minimum engagement starts at $10,000+. Works best with clients in FinTech, Healthcare, Retail & E-commerce, EdTech.

Who should choose EPAM Systems?

EPAM Systems is the right choice for large enterprises with $100K+ AI budgets that need a publicly traded, globally scaled engineering partner..

Public-company (NYSE: EPAM) scale and compliance rigor, with 30+ years of engineering history predating the AI wave.. Minimum engagement starts at $100,000+. Works best with clients in FinTech, Healthcare, Retail & E-commerce, Manufacturing, Telecom.

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 Check each company's engagement model
Your budget is at the lower end Tensorway
You need specialist depth in a specific vertical EPAM Systems
You need production MLOps support after model launch 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
Fintech or healthcare startup needs a computer vision or NLP model built with ongoing retraining support. Strong Limited Tensorway
Retail company wants a boutique EU vendor instead of a large outsourcing firm for a scoped ML project. Strong Limited Tensorway
Large enterprise with a $100K+ budget needs a publicly traded vendor for AI/ML procurement compliance requirements. Strong Strong Both equally
Fortune 500 company needs generative AI deployed at global scale with responsible-AI governance built in. Limited Strong EPAM Systems
Fixed-scope ML build Limited Limited Both equally
Ongoing model retraining Strong Limited Tensorway

Verdict: Tensorway vs EPAM Systems

Tensorway (4.6/5) is the stronger overall choice for most Machine Learning Development projects. AI boutique backed by 20+ years of software delivery experience via parent company Anadea.. It is best for fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent..

EPAM Systems (4.0/5) is the better choice when large enterprises with $100K+ AI budgets that need a publicly traded, globally scaled 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 fintech, healthcare, and retail companies that want a boutique EU-based ML vendor with an established software-delivery parent.. EPAM Systems is better for large enterprises with $100K+ AI budgets that need a publicly traded, globally scaled engineering partner..

How do Tensorway and EPAM Systems differ in pricing?

Tensorway uses project-based, time & materials pricing with a minimum engagement of $10,000+. EPAM Systems uses time & materials, managed engagement pricing with a minimum engagement of $100,000+. 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 company before shortlisting.

What are the main differences between Tensorway and EPAM Systems?

Tensorway's primary differentiator is: ai boutique backed by 20+ years of software delivery experience via parent company anadea.. EPAM Systems's primary differentiator is: public-company (nyse: epam) scale and compliance rigor, with 30+ years of engineering history predating the ai wave.. They also differ in team size (50–249 vs 50,000+), minimum engagement ($10,000+ vs $100,000+), and primary industries served (FinTech, Healthcare vs FinTech, Healthcare).

Last reviewed: July 2026. Verify all details directly with each company before making a decision.