Revelo vs Data Science UA: full comparison for 2026
Quick verdict
Revelo (4.0/5) edges ahead of Data Science UA (3.8/5) overall. Revelo is the better choice for U.S. companies that want a Latin American AI engineer without upfront fees or a long contract. Data Science UA is the stronger option for companies that want to choose between a recruiting fee and monthly outstaffing for Ukrainian AI talent. The right choice depends on your project size, budget, and required tech stack.
Revelo vs Data Science UA: head-to-head summary
| Criterion | Revelo | Data Science UA |
|---|---|---|
| Founded | 2014 | 2016 |
| HQ | Miami, Florida, USA | Kyiv, Ukraine (legal HQ London) |
| Team size | 400,000+ network (company figure) | 50–200 |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Primary differentiator | No upfront fees, no long-term contract and published salary benchmarks | Recruiting fee or monthly outstaffing from an AI-only recruiter |
| Pricing model | Monthly per engineer; no upfront fees or long-term contracts (per company); senior AI/ML all-in cost about $103,000/yr (company benchmark) | Recruiting fee per hire; outstaffing billed monthly; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, PyTorch, TensorFlow |
| Industries served | Technology, Fintech, SaaS, Healthcare, AI labs | Technology, Fintech, Healthcare, Retail, Gaming |
Revelo vs Data Science UA: overview
Revelo
Revelo started in 2014 (one listing says 2015) and has a U.S. base in Miami and operations in São Paulo. It places engineers from a Latin American network it puts at over 400,000, and its platform pages promise no upfront fees and no long-term contracts. Revelo also publishes salary benchmarks. Its figure for a senior AI or ML engineer is about $103,000 a year all-in, roughly 55% below a comparable U.S. hire. LLM training work made up 22% of its 2024 revenue, according to TechCrunch.
Data Science UA
Data Science UA grew out of a 2016 data science conference in Kyiv and now runs recruiting, outstaffing and AI consulting, with a legal base in London. It offers two ways to buy. You can pay a recruiting fee for a permanent hire, which it says takes two to four weeks on average, or take the engineer on monthly outstaffing terms first. Its AI community, quoted at 10,000 to 30,000 people, gives it reach. Screening is done by recruiters, so plan your own technical interview.
Services and capabilities: Revelo vs Data Science UA
| Capability | Revelo | Data Science UA |
|---|---|---|
| Full-time dedicated engineers | ✓ | ✓ |
| Part-time / fractional experts | ✗ | ✗ |
| Dedicated team | ✗ | ✓ |
| Trial before commitment | ✗ | ✗ |
| Published rates | ✗ | ✗ |
| Direct hire option | ✗ | ✓ |
| Subscription or output-based pricing | ✗ | ✗ |
| Nearshore time-zone overlap | ✓ | ✗ |
| LLM / GenAI engineers | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| Computer vision | ✗ | ✓ |
| Data engineering | ✗ | ✗ |
Tech stack comparison: Revelo vs Data Science UA
| Framework / platform | Revelo | Data Science UA |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | ✓ | N/A |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Revelo vs Data Science UA
| Criterion | Revelo | Data Science UA |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated, Freelance contract | Direct hire, Full-time dedicated, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Revelo vs Data Science UA
| Dimension | Revelo | Data Science UA |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology, Fintech, SaaS | Technology, Fintech, Healthcare |
| Best use cases | Hiring a Brazilian ML engineer without a long contract, Budgeting a nearshore AI team from published salary data | Hiring a permanent ML engineer in Ukraine, Outstaffing a computer vision engineer before a permanent offer |
| Typical project type | Full-time dedicated | Direct hire |
Revelo vs Data Science UA: pros and cons
| Revelo | |
|---|---|
| + | No upfront fee or long-term contract |
| + | Published salary benchmarks help with budgeting |
| + | Large Latin American network on U.S. hours |
| - | Part of revenue comes from AI-lab training work |
| - | Salary figures come from Revelo itself |
| - | Founding year and headquarters differ by source |
| Data Science UA | |
|---|---|
| + | Both recruiting and outstaffing |
| + | Recruiters focused on AI roles |
| + | Large Ukrainian AI community |
| - | Recruiter-led screening |
| - | Size and headquarters vary by source |
| - | Wartime continuity risk |
Who should choose Revelo?
A typical fit: hiring a Brazilian ML engineer without a long contract.
No upfront fees, no long-term contract and published salary benchmarks. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Fintech, SaaS, Healthcare, AI labs.
Who should choose Data Science UA?
A typical fit: hiring a permanent ML engineer in Ukraine.
Recruiting fee or monthly outstaffing from an AI-only recruiter. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Fintech, Healthcare, Retail, Gaming.
Decision matrix: Revelo vs Data Science UA
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | Both; Revelo rates higher overall |
| You only need a specialist a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| You need a rate before the first call | Neither publishes rates; ask both for a written rate card |
| Your budget is at the lower end | Compare: Revelo (Not published) vs Data Science UA (Not published) |
| You may want to hire the engineer permanently later | Data Science UA |
| You want several engineers working as one team | Data Science UA |
Use case fit: Revelo vs Data Science UA
| Use case | Revelo fit | Data Science UA fit | Winner |
|---|---|---|---|
| Hiring a Brazilian ML engineer without a long contract | Strong | Strong | Both equally |
| Budgeting a nearshore AI team from published salary data | Strong | Limited | Revelo |
| Hiring a permanent ML engineer in Ukraine | Strong | Strong | Both equally |
| Outstaffing a computer vision engineer before a permanent offer | Limited | Strong | Data Science UA |
Verdict: Revelo vs Data Science UA
Revelo (4.0/5) is the stronger overall choice for most AI Staff Augmentation projects. No upfront fees, no long-term contract and published salary benchmarks.
Data Science UA (3.8/5) is worth a look if you need outstaffing a computer vision engineer before a permanent offer. If your situation matches that, Data Science UA is a competitive option.
Related comparisons
Revelo vs Data Science UA FAQ
Is Revelo better than Data Science UA?
Revelo (4.0/5) scores higher overall, but "better" depends on your use case. Revelo's strongest advantage: no upfront fee or long-term contract. Data Science UA's strongest advantage: both recruiting and outstaffing.
How do Revelo and Data Science UA differ in pricing?
Revelo uses monthly per engineer; no upfront fees or long-term contracts (per company); senior ai/ml all-in cost about $103,000/yr (company benchmark) 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: Revelo or Data Science UA?
Revelo is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Revelo and Data Science UA?
Revelo's primary differentiator is: no upfront fees, no long-term contract and published salary benchmarks. Data Science UA's primary differentiator is: recruiting fee or monthly outstaffing from an AI-only recruiter. They also differ in team size (400,000+ network (company figure) vs 50–200), minimum engagement (Not published vs Not published), and primary industries served (Technology, Fintech vs Technology, Fintech).
Verify all details directly with each provider before making a decision.