Tensorway vs Addepto: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Addepto (4.0/5) overall. Tensorway is the better choice for CTOs who want an engineer, not a recruiter, to have vetted every candidate before the first interview. Addepto is the stronger option for industrial and automotive companies that need data engineers who know factory data. 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 | 2017 |
| HQ | Alicante, Spain | Warsaw, Poland |
| Team size | 50–249 | 50–249 |
| Rating | 4.8 / 5 | 4.0 / 5 |
| Primary differentiator | Senior AI engineers run a code review and a specialization-specific task on every candidate | Data and ML engineers with industrial and automotive client history |
| Pricing model | Monthly rate per full-time dedicated engineer; hourly or weekly billing for part-time fractional experts; two-week trial sprint; rate card on request | Monthly per engineer or project fee; rates on request |
| Min. engagement | Not disclosed | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, Databricks, Spark |
| Industries served | SaaS, Fintech, Healthcare, Retail and e-commerce, Manufacturing, Logistics, Education | Manufacturing, Automotive, Aviation, Retail, Logistics |
Tensorway vs Addepto: overview
Tensorway
Tensorway is an AI engineering company from Alicante, Spain, founded in 2019, and the people behind its delivery process have been building software for more than twenty years. What sets its staffing service apart is who does the screening. Senior AI engineers review each candidate's code, set a practical task in the exact specialization the client asked for and check how the person communicates, so a CTO receives two or three people who have already passed a technical bar (per company website; independently unverifiable). The roles cover ML, computer vision, NLP, MLOps and RAG work. Smaller published projects include an agent that grades GAMSAT practice essays, invoice extraction for a fintech client and ball-hit detection for a fitness game (per company website; independently unverifiable).
Addepto
Addepto was founded in Warsaw in 2017 and works on AI, ML and data engineering, mostly for industrial and automotive clients. KMS Technology acquired it in December 2025, so it now sits inside a larger U.S.-based IT group. Addepto supplies data and ML engineers for team extension as well as running projects. The acquisition may widen its bench over time, but buyers should expect changes to contracts and account management as the integration proceeds.
Services and capabilities: Tensorway vs Addepto
| Capability | Tensorway | Addepto |
|---|---|---|
| ML engineers | ✓ | ✓ |
| LLM / GenAI engineers | ✓ | ✓ |
| AI agent developers | ✗ | ✗ |
| MLOps engineers | ✓ | ✗ |
| Computer vision engineers | ✓ | ✗ |
| NLP engineers | ✓ | ✗ |
| Data engineers | ✗ | ✓ |
| Engineer-led technical screen | ✓ | ✗ |
| Fractional / part-time experts | ✓ | ✗ |
| Trial before commitment | ✓ | ✗ |
| Nearshore time-zone overlap | ✗ | ✗ |
| Direct hire option | ✗ | ✗ |
Tech stack comparison: Tensorway vs Addepto
| Framework / platform | Tensorway | Addepto |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | N/A |
| Databricks | N/A | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: Tensorway vs Addepto
| Criterion | Tensorway | Addepto |
|---|---|---|
| Minimum engagement | Not disclosed | Not published |
| Engagement models | Dedicated engineer, Fractional expert, Trial period | Dedicated engineer, Dedicated team, Project delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs Addepto
| Dimension | Tensorway | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | Manufacturing, Automotive, Aviation |
| Best use cases | Adding a computer-vision engineer for an edge defect-detection model, Hiring an NLP specialist to build an essay-grading or document-review agent | Adding a data engineer to an automotive analytics platform, Building a predictive maintenance model with a two-person team |
| Typical project type | Dedicated engineer | Dedicated engineer |
Tensorway vs Addepto: pros and cons
| Tensorway | |
|---|---|
| + | The technical screen is a code review plus a hands-on task in the role you are hiring for, set by working AI engineers |
| + | Covers the harder-to-fill roles on this list, including speech, edge computer vision and RAG specialists |
| + | A two-week trial sprint comes before any longer commitment, and a poor fit is replaced at no cost (per company website) |
| + | Code, documentation and trained models stay in your repositories, and handover to in-house staff is planned from the start |
| - | No published rate, so budgeting needs a call |
| - | The bench is in the low hundreds at most, so it cannot staff twenty seats in a month the way Turing or Andela can |
| - | AI and ML roles only; a CTO who also needs front-end or mobile engineers will need a second supplier |
| Addepto | |
|---|---|
| + | Strong data engineering on Databricks and Azure |
| + | Industrial and automotive references |
| + | Backing from a larger group may add capacity |
| - | Acquired by KMS Technology in December 2025, so terms and contacts may change |
| - | Fewer computer-vision and NLP specialists than AI-research firms |
| - | Staffing evidence is thinner than its project work |
Who should choose Tensorway?
A typical fit: adding a computer-vision engineer for an edge defect-detection model.
Senior AI engineers run a code review and a specialization-specific task on every candidate. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, Healthcare, Retail and e-commerce, Manufacturing, Logistics, Education.
Who should choose Addepto?
A typical fit: adding a data engineer to an automotive analytics platform.
Data and ML engineers with industrial and automotive client history. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Automotive, Aviation, Retail, Logistics.
Decision matrix: Tensorway vs Addepto
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Tensorway |
| You need one specialist for a few days a week | Tensorway |
| You need several engineers working as one team | Addepto |
| You want to test an engineer before committing | Tensorway |
| Your budget is at the lower end | Compare: Tensorway (Not disclosed) vs Addepto (Not published) |
| Your team works U.S. hours | Neither lists Latin American engineers; confirm overlap hours in the contract |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
Use case fit: Tensorway vs Addepto
| Use case | Tensorway fit | Addepto fit | Winner |
|---|---|---|---|
| Adding a computer-vision engineer for an edge defect-detection model | Strong | Strong | Both equally |
| Hiring an NLP specialist to build an essay-grading or document-review agent | Strong | Limited | Tensorway |
| Adding a data engineer to an automotive analytics platform | Strong | Strong | Both equally |
| Building a predictive maintenance model with a two-person team | Limited | Strong | Addepto |
Verdict: Tensorway vs Addepto
Tensorway (4.8/5) is the stronger overall choice for most AI Engineer Staffing projects. Senior AI engineers run a code review and a specialization-specific task on every candidate.
Addepto (4.0/5) is worth a look if you need building a predictive maintenance model with a two-person team. If your situation matches that, Addepto is a competitive option.
Related comparisons
Tensorway vs Addepto FAQ
Is Tensorway better than Addepto?
Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: the technical screen is a code review plus a hands-on task in the role you are hiring for, set by working AI engineers. Addepto's strongest advantage: strong data engineering on Databricks and Azure.
How do Tensorway and Addepto differ in pricing?
Tensorway uses monthly rate per full-time dedicated engineer; hourly or weekly billing for part-time fractional experts; two-week trial sprint; rate card on request pricing. Addepto uses monthly per engineer or project fee; rates on request pricing. 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 company before shortlisting.
What are the main differences between Tensorway and Addepto?
Tensorway's primary differentiator is: senior AI engineers run a code review and a specialization-specific task on every candidate. Addepto's primary differentiator is: data and ML engineers with industrial and automotive client history. They also differ in team size (50–249 vs 50–249), minimum engagement (Not disclosed vs Not published), and primary industries served (SaaS, Fintech vs Manufacturing, Automotive).
Verify all details directly with each company before making a decision.