Best Machine Learning Development Agencies

Tensorway vs Addepto: full comparison for 2026

Quick verdict

Tensorway (4.6/5) edges ahead of Addepto (4.1/5) overall. Tensorway is the better choice for mid-market companies, full-stack ML plus agentic AI. Addepto is the stronger option for companies wanting boutique AI/BI, now KMS-backed. The right choice depends on your project size, budget, and required tech stack.

Tensorway vs Addepto: head-to-head summary

Criterion Tensorway Addepto
Founded 2019 2018
HQ Alicante, Spain Warsaw, Poland
Team size 51–200 51–200
Rating 4.6 / 5 4.1 / 5
Primary differentiator full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology
Pricing model Time & Material, Fixed-Price PoC, Extended/Dedicated Team, and MVP Development Models Fixed project and consulting retainer
Min. engagement $10K $20K
Primary tech stack Python, TensorFlow, PyTorch Python, Scikit-learn, TensorFlow
Industries served Healthcare, Finance, Retail, Manufacturing, Entertainment, Technology/SaaS Financial Services, Retail, Manufacturing

Tensorway vs Addepto: overview

Tensorway

Tensorway is a machine learning development company founded in 2019 and headquartered in Alicante, Spain, operating as an AI-focused entity. The firm focuses on deep learning, computer vision, and NLP systems for mid-market and enterprise clients in fintech, healthcare, retail, and edtech. Tensorway's engineering practice covers object detection, image segmentation, real-time video analytics, and large-scale NLP pipelines, with delivery backed by its parent company's 25-year software engineering track record. The team of 50+ ML engineers operates remotely across Europe and Latin America.

Addepto

Addepto is an AI and data consulting company founded in Warsaw, Poland in 2018 by Edwin Lisowski and Artur Haponik (one source lists 2017), specializing in machine learning, artificial intelligence, and business intelligence solutions. Reported headcount is roughly 55–58 employees across Europe, North America, and Asia. In December 2025, Addepto was acquired by KMS Technology; prospective clients should confirm how the acquisition affects team continuity, existing contracts, and service delivery going forward.

Services and capabilities: Tensorway vs Addepto

Capability Tensorway Addepto
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 Addepto

Framework / platform Tensorway Addepto
Python
TensorFlow
PyTorch N/A
AWS
Azure
Google Cloud N/A
Kubernetes N/A
Databricks N/A N/A
LangChain N/A

Pricing comparison: Tensorway vs Addepto

Criterion Tensorway Addepto
Minimum engagement $10K $20K
Engagement models Fixed project, Dedicated team, Time & Material, Consulting retainer, Managed services, Staff augmentation Fixed project, Consulting retainer
Rate transparency Minimum disclosed Minimum disclosed
Price tier Accessible Accessible

Target audience comparison: Tensorway vs Addepto

Dimension Tensorway Addepto
Best company size Startup to mid-market Startup to mid-market
Best industries Healthcare, Finance, Retail Financial Services, Retail, Manufacturing
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 Mid-market companies wanting boutique AI/BI consulting now paired with KMS Technology's broader resources, Business intelligence projects that also require a machine learning component
Typical project type Fixed project Fixed project

Tensorway vs Addepto: 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
+ Established project-management and QA processes for predictable, well-documented delivery
- 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
Addepto
+ 7 years of focused AI/BI consulting experience prior to the KMS Technology acquisition
+ Small team size historically meant direct founder-level access on engagements
+ Multi-continent presence (Europe, North America, Asia) despite a compact headcount
+ Acquisition by KMS Technology (Dec 2025) may bring additional delivery resources and stability
- Acquired by KMS Technology in December 2025 — buyers should confirm how this affects team continuity, pricing, and existing contracts before signing
- Public sources disagree on exact founding year (2017 vs. 2018) and employee count (55 vs. 58)
- Post-acquisition integration could change the service delivery model in ways not yet publicly documented

Who should choose Tensorway?

A typical fit: building a computer-vision pipeline for document or image understanding.

full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team. Minimum engagement starts at $10K. Works best with clients in Healthcare, Finance, Retail, Manufacturing, Entertainment, Technology/SaaS.

Who should choose Addepto?

A typical fit: mid-market companies wanting boutique AI/BI consulting now paired with KMS Technology's broader resources.

Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology. Minimum engagement starts at $20K. Works best with clients in Financial Services, Retail, Manufacturing.

Decision matrix: Tensorway vs Addepto

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 Tensorway
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 Addepto

Use case Tensorway fit Addepto 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
Mid-market companies wanting boutique AI/BI consulting now paired with KMS Technology's broader resources Limited Strong Addepto
Business intelligence projects that also require a machine learning component Limited Strong Addepto
Fixed-price build Strong Limited Tensorway
Staff augmentation Limited Limited Both equally

Verdict: Tensorway vs Addepto

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.

Addepto (4.1/5) is worth a look if you need business intelligence projects that also require a machine learning component. If your situation matches that, Addepto is a competitive option.

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Tensorway vs Addepto FAQ

Is Tensorway better than Addepto?

Tensorway (4.6/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: broad technical coverage across classic ML, deep learning, computer vision, NLP, and LLM/agentic frameworks. Addepto's strongest advantage: 7 years of focused AI/BI consulting experience prior to the KMS Technology acquisition.

How do Tensorway and Addepto differ in pricing?

Tensorway uses time & material, fixed-price poc, extended/dedicated team, and mvp development models pricing with a minimum engagement of $10K. Addepto uses fixed project and consulting retainer pricing with a minimum engagement of $20K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Tensorway or Addepto?

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 Addepto?

Tensorway's primary differentiator is: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team. Addepto's primary differentiator is: boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology. They also differ in team size (51–200 vs 51–200), minimum engagement ($10K vs $20K), and primary industries served (Healthcare, Finance vs Financial Services, Retail).