Tensorway vs Data Science UA: full comparison for 2026
Quick verdict
Tensorway (4.8/5) edges ahead of Data Science UA (3.8/5) overall. Tensorway is the better choice for CTOs who want an engineer, not a recruiter, to have vetted every candidate before the first interview. Data Science UA is the stronger option for companies that want to hire Ukrainian ML engineers directly, with an outstaffing option meanwhile. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs Data Science UA: head-to-head summary
| Criterion | Tensorway | Data Science UA |
|---|---|---|
| Founded | 2019 | 2016 |
| HQ | Alicante, Spain | Kyiv, Ukraine (legal HQ London) |
| Team size | 50–249 | 50–200 |
| Rating | 4.8 / 5 | 3.8 / 5 |
| Primary differentiator | Senior AI engineers run a code review and a specialization-specific task on every candidate | A large AI community and conference series that feeds its recruiting |
| 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 | Recruiting fee per hire; outstaffing billed monthly; 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 | Technology, Fintech, Healthcare, Retail, Gaming |
Tensorway vs Data Science UA: 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).
Data Science UA
Data Science UA began in 2016 as a data science conference in Kyiv, founded by Aleksandra Boguslavskaya, and grew into a recruiting, outstaffing and AI consulting business. Recruiting is a core line, and it says hiring averages two to four weeks. Its community of AI engineers in Ukraine and beyond, quoted at 10,000 to 30,000 depending on the source, gives it reach that general agencies lack. The screening is recruiter-led, though, so the technical depth of each shortlist depends on how well you brief them and on your own interviews.
Services and capabilities: Tensorway vs Data Science UA
| Capability | Tensorway | Data Science UA |
|---|---|---|
| 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 Data Science UA
| Framework / platform | Tensorway | Data Science UA |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Tensorway vs Data Science UA
| Criterion | Tensorway | Data Science UA |
|---|---|---|
| Minimum engagement | Not disclosed | Not published |
| Engagement models | Dedicated engineer, Fractional expert, Trial period | Direct hire, Dedicated engineer, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs Data Science UA
| Dimension | Tensorway | Data Science UA |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | Technology, Fintech, Healthcare |
| 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 | Hiring a permanent computer-vision engineer in Ukraine, Building an AI R&D centre in Europe for a U.S. product company |
| Typical project type | Dedicated engineer | Direct hire |
Tensorway vs Data Science UA: 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 |
| Data Science UA | |
|---|---|
| + | Recruiters specialise in AI and data, so briefs are understood |
| + | Direct hire and outstaffing both available |
| + | Wide reach in the Ukrainian AI community |
| - | Screening is done by recruiters, not engineers |
| - | Size and headquarters differ across directories |
| - | Wartime conditions need a continuity plan |
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 Data Science UA?
A typical fit: hiring a permanent computer-vision engineer in Ukraine.
A large AI community and conference series that feeds its recruiting. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Fintech, Healthcare, Retail, Gaming.
Decision matrix: Tensorway vs Data Science UA
| 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 | Data Science UA |
| You want to test an engineer before committing | Tensorway |
| Your budget is at the lower end | Compare: Tensorway (Not disclosed) vs Data Science UA (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 | Data Science UA |
Use case fit: Tensorway vs Data Science UA
| Use case | Tensorway fit | Data Science UA fit | Winner |
|---|---|---|---|
| Adding a computer-vision engineer for an edge defect-detection model | Strong | Limited | Tensorway |
| Hiring an NLP specialist to build an essay-grading or document-review agent | Strong | Strong | Both equally |
| Hiring a permanent computer-vision engineer in Ukraine | Strong | Strong | Both equally |
| Building an AI R&D centre in Europe for a U.S. product company | Limited | Strong | Data Science UA |
Verdict: Tensorway vs Data Science UA
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.
Data Science UA (3.8/5) is worth a look if you need building an AI R&D centre in Europe for a U.S. product company. If your situation matches that, Data Science UA is a competitive option.
Related comparisons
Tensorway vs Data Science UA FAQ
Is Tensorway better than Data Science UA?
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. Data Science UA's strongest advantage: recruiters specialise in AI and data, so briefs are understood.
How do Tensorway and Data Science UA 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. Data Science UA uses recruiting fee per hire; outstaffing billed monthly; 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 Data Science UA?
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 Data Science UA?
Tensorway's primary differentiator is: senior AI engineers run a code review and a specialization-specific task on every candidate. Data Science UA's primary differentiator is: a large AI community and conference series that feeds its recruiting. They also differ in team size (50–249 vs 50–200), minimum engagement (Not disclosed vs Not published), and primary industries served (SaaS, Fintech vs Technology, Fintech).
Verify all details directly with each company before making a decision.