Tensorway vs Proxify: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Proxify (4.4/5) overall. Tensorway is the better choice for CTOs who want an engineer, not a recruiter, to have vetted every candidate before the first interview. Proxify is the stronger option for european companies that want a vetted ML or data engineer on European working hours. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs Proxify: head-to-head summary
| Criterion | Tensorway | Proxify |
|---|---|---|
| Founded | 2019 | 2018 |
| HQ | Alicante, Spain | Stockholm, Sweden |
| Team size | 50–249 | 5,000+ network members |
| Rating | 4.8 / 5 | 4.4 / 5 |
| Primary differentiator | Senior AI engineers run a code review and a specialization-specific task on every candidate | Senior-engineer interviews with live coding after an automated skills test |
| 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 | Hourly rate per developer billed monthly; full-time or part-time; rates on request |
| Min. engagement | Not disclosed | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, PyTorch, TensorFlow |
| Industries served | SaaS, Fintech, Healthcare, Retail and e-commerce, Manufacturing, Logistics, Education | SaaS, Fintech, E-commerce, Media, Healthcare |
Tensorway vs Proxify: 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).
Proxify
Proxify was founded in Stockholm in 2018 (one of its own pages says 2019) and matches companies with vetted developers across web, data, AI and DevOps. Candidates take Codility-based skills tests, then sit in-depth technical interviews with Proxify's senior engineers that include live coding and practical problems. The company quotes an acceptance rate of 1–3%, though the figure varies from page to page. Its network covers more than 5,000 professionals in over 90 countries, and it appeared on the Financial Times 1,000 list in 2025. Matching uses in-house AI tools alongside its hiring team.
Services and capabilities: Tensorway vs Proxify
| Capability | Tensorway | Proxify |
|---|---|---|
| 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 Proxify
| Framework / platform | Tensorway | Proxify |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: Tensorway vs Proxify
| Criterion | Tensorway | Proxify |
|---|---|---|
| Minimum engagement | Not disclosed | Not published |
| Engagement models | Dedicated engineer, Fractional expert, Trial period | Dedicated engineer, Fractional expert, Freelance contract |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs Proxify
| Dimension | Tensorway | Proxify |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | SaaS, Fintech, E-commerce |
| 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 a European fintech's analytics team, Hiring a Python ML developer for a recommender system |
| Typical project type | Dedicated engineer | Dedicated engineer |
Tensorway vs Proxify: 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 |
| Proxify | |
|---|---|
| + | Live-coding interviews with in-house senior engineers are part of the published process |
| + | Most of the network is in European time zones, which suits teams in the EU and UK |
| + | Grew fast enough to make the Financial Times 1,000 list in 2025 |
| - | AI is one of many skill areas, and there is no AI-specific test on the record |
| - | Acceptance-rate and network-size figures differ across the company's own pages |
| - | Developers are contractors on the platform, not Proxify employees |
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 Proxify?
A typical fit: adding a data engineer to a European fintech's analytics team.
Senior-engineer interviews with live coding after an automated skills test. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, Media, Healthcare.
Decision matrix: Tensorway vs Proxify
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Both; Tensorway rates higher overall |
| You need one specialist for a few days a week | Both; Tensorway rates higher overall |
| You need several engineers working as one team | Proxify |
| You want to test an engineer before committing | Tensorway |
| Your budget is at the lower end | Compare: Tensorway (Not disclosed) vs Proxify (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 Proxify
| Use case | Tensorway fit | Proxify 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 | Strong | Both equally |
| Adding a data engineer to a European fintech's analytics team | Strong | Strong | Both equally |
| Hiring a Python ML developer for a recommender system | Strong | Strong | Both equally |
Verdict: Tensorway vs Proxify
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.
Proxify (4.4/5) is worth a look if you need hiring a Python ML developer for a recommender system. If your situation matches that, Proxify is a competitive option.
Related comparisons
Tensorway vs Proxify FAQ
Is Tensorway better than Proxify?
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. Proxify's strongest advantage: live-coding interviews with in-house senior engineers are part of the published process.
How do Tensorway and Proxify 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. Proxify uses hourly rate per developer billed monthly; full-time or part-time; 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 Proxify?
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 Proxify?
Tensorway's primary differentiator is: senior AI engineers run a code review and a specialization-specific task on every candidate. Proxify's primary differentiator is: senior-engineer interviews with live coding after an automated skills test. They also differ in team size (50–249 vs 5,000+ network members), minimum engagement (Not disclosed vs Not published), and primary industries served (SaaS, Fintech vs SaaS, Fintech).
Verify all details directly with each company before making a decision.