Tensorway vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.6/5) edges ahead of Addepto (4.1/5) 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.. Addepto is the stronger option for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition.. 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 |
| 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. | Companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition. |
| Pricing model | Time & Material, fixed-price PoC, extended/dedicated team, and MVP development models | Fixed project and consulting retainer |
| Min. engagement | $25K | $20K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, Scikit-learn, TensorFlow |
| Industries served | Healthcare, Finance, Retail, Manufacturing, Entertainment | Financial Services, Retail, Manufacturing |
Tensorway vs Addepto: 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.
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 | N/A |
| Databricks | N/A | N/A |
| LangChain | ✓ | N/A |
Pricing comparison: Tensorway vs Addepto
| Criterion | Tensorway | Addepto |
|---|---|---|
| Minimum engagement | $25K | $20K |
| Engagement models | Time & Material, Fixed project, Dedicated team | 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 | Time & Material | 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 |
| + | 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 |
| 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?
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 Addepto?
Addepto is the right choice for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition..
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 | Addepto |
| 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 | Addepto |
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.. 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..
Addepto (4.1/5) is the better choice when companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-acquisition.. If your situation matches those criteria, Addepto is a competitive option.
Related comparisons
Tensorway vs Addepto FAQ
Is Tensorway better than Addepto?
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.. Addepto is better for companies wanting boutique AI/BI consulting from a team now backed by KMS Technology's additional resources post-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 $25K. 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 ($25K vs $20K), and primary industries served (Healthcare, Finance vs Financial Services, Retail).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.