Addepto vs Data Science UA: full comparison for 2026
Quick verdict
Addepto (4.0/5) edges ahead of Data Science UA (3.8/5) overall. Addepto is the better choice for industrial and automotive companies that need data engineers who know factory data. 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.
Addepto vs Data Science UA: head-to-head summary
| Criterion | Addepto | Data Science UA |
|---|---|---|
| Founded | 2017 | 2016 |
| HQ | Warsaw, Poland | Kyiv, Ukraine (legal HQ London) |
| Team size | 50–249 | 50–200 |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Primary differentiator | Data and ML engineers with industrial and automotive client history | A large AI community and conference series that feeds its recruiting |
| Pricing model | Monthly per engineer or project fee; rates on request | Recruiting fee per hire; outstaffing billed monthly; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Databricks, Spark | Python, PyTorch, TensorFlow |
| Industries served | Manufacturing, Automotive, Aviation, Retail, Logistics | Technology, Fintech, Healthcare, Retail, Gaming |
Addepto vs Data Science UA: overview
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.
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: Addepto vs Data Science UA
| Capability | Addepto | 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: Addepto vs Data Science UA
| Framework / platform | Addepto | Data Science UA |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | N/A | ✓ |
| Databricks | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Addepto vs Data Science UA
| Criterion | Addepto | Data Science UA |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Dedicated team, Project delivery | Direct hire, Dedicated engineer, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Addepto vs Data Science UA
| Dimension | Addepto | Data Science UA |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Automotive, Aviation | Technology, Fintech, Healthcare |
| Best use cases | Adding a data engineer to an automotive analytics platform, Building a predictive maintenance model with a two-person team | 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 |
Addepto vs Data Science UA: pros and cons
| 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 |
| 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 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.
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: Addepto vs Data Science UA
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Neither documents an engineer-led screen; run your own technical interview |
| You need one specialist for a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You need several engineers working as one team | Both; Addepto rates higher overall |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| Your budget is at the lower end | Compare: Addepto (Not published) 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: Addepto vs Data Science UA
| Use case | Addepto fit | Data Science UA fit | Winner |
|---|---|---|---|
| Adding a data engineer to an automotive analytics platform | Strong | Limited | Addepto |
| Building a predictive maintenance model with a two-person team | Strong | Strong | Both equally |
| Hiring a permanent computer-vision engineer in Ukraine | Limited | Strong | Data Science UA |
| Building an AI R&D centre in Europe for a U.S. product company | Strong | Strong | Both equally |
Verdict: Addepto vs Data Science UA
Addepto (4.0/5) is the stronger overall choice for most AI Engineer Staffing projects. Data and ML engineers with industrial and automotive client history.
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
Addepto vs Data Science UA FAQ
Is Addepto better than Data Science UA?
Addepto (4.0/5) scores higher overall, but "better" depends on your use case. Addepto's strongest advantage: strong data engineering on Databricks and Azure. Data Science UA's strongest advantage: recruiters specialise in AI and data, so briefs are understood.
How do Addepto and Data Science UA differ in pricing?
Addepto uses monthly per engineer or project fee; rates 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: Addepto or Data Science UA?
Addepto 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 Addepto and Data Science UA?
Addepto's primary differentiator is: data and ML engineers with industrial and automotive client history. 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 published vs Not published), and primary industries served (Manufacturing, Automotive vs Technology, Fintech).
Verify all details directly with each company before making a decision.