Revelo vs SciForce: full comparison for 2026
Quick verdict
Revelo (4.0/5) edges ahead of SciForce (3.7/5) overall. Revelo is the better choice for U.S. companies that want a Latin American AI engineer without upfront fees or a long contract. SciForce is the stronger option for healthcare data teams buying a monthly NLP or data science team. The right choice depends on your project size, budget, and required tech stack.
Revelo vs SciForce: head-to-head summary
| Criterion | Revelo | SciForce |
|---|---|---|
| Founded | 2014 | 2015 |
| HQ | Miami, Florida, USA | Lviv, Ukraine (office in Tallinn, Estonia) |
| Team size | 400,000+ network (company figure) | 50–99 |
| Rating | 4.0 / 5 | 3.7 / 5 |
| Primary differentiator | No upfront fees, no long-term contract and published salary benchmarks | Medical data science with a multi-year staffing reference |
| 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) | Dedicated team billed monthly; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, PyTorch, spaCy |
| Industries served | Technology, Fintech, SaaS, Healthcare, AI labs | Healthcare, Financial services, Logistics, Agriculture, Education |
Revelo vs SciForce: 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.
SciForce
SciForce has worked on AI and data science since 2015 from Lviv and Kharkiv, with a representative office in Tallinn and 50 to 99 people. Buyers usually take a dedicated team on monthly terms. A Clutch review from a financial services IT director describes a staffing engagement from 2019 to 2023 in which SciForce sourced and placed engineers and supplied a team of six to ten. Its specialist area is medical data science, including NLP on clinical text.
Services and capabilities: Revelo vs SciForce
| Capability | Revelo | SciForce |
|---|---|---|
| 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 SciForce
| Framework / platform | Revelo | SciForce |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| Hugging Face | 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 SciForce
| Criterion | Revelo | SciForce |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated, Freelance contract | Full-time dedicated, Dedicated team, Project delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Revelo vs SciForce
| Dimension | Revelo | SciForce |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology, Fintech, SaaS | Healthcare, Financial services, Logistics |
| Best use cases | Hiring a Brazilian ML engineer without a long contract, Budgeting a nearshore AI team from published salary data | Buying a monthly clinical NLP team, Adding data scientists to a logistics project |
| Typical project type | Full-time dedicated | Full-time dedicated |
Revelo vs SciForce: 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 |
| SciForce | |
|---|---|
| + | Four-year staffing engagement rated 5.0 on Clutch |
| + | Medical NLP experience |
| + | Lower cost base |
| - | Small team |
| - | Staffing evidence rests mainly on one review |
| - | 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 SciForce?
A typical fit: buying a monthly clinical NLP team.
Medical data science with a multi-year staffing reference. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Logistics, Agriculture, Education.
Decision matrix: Revelo vs SciForce
| 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 SciForce (Not published) |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
| You want several engineers working as one team | SciForce |
Use case fit: Revelo vs SciForce
| Use case | Revelo fit | SciForce fit | Winner |
|---|---|---|---|
| Hiring a Brazilian ML engineer without a long contract | Strong | Limited | Revelo |
| Budgeting a nearshore AI team from published salary data | Strong | Limited | Revelo |
| Buying a monthly clinical NLP team | Limited | Strong | SciForce |
| Adding data scientists to a logistics project | Strong | Strong | Both equally |
Verdict: Revelo vs SciForce
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.
SciForce (3.7/5) is worth a look if you need adding data scientists to a logistics project. If your situation matches that, SciForce is a competitive option.
Related comparisons
Revelo vs SciForce FAQ
Is Revelo better than SciForce?
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. SciForce's strongest advantage: four-year staffing engagement rated 5.0 on Clutch.
How do Revelo and SciForce 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. SciForce uses dedicated team 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 SciForce?
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 SciForce?
Revelo's primary differentiator is: no upfront fees, no long-term contract and published salary benchmarks. SciForce's primary differentiator is: medical data science with a multi-year staffing reference. They also differ in team size (400,000+ network (company figure) vs 50–99), minimum engagement (Not published vs Not published), and primary industries served (Technology, Fintech vs Healthcare, Financial services).
Verify all details directly with each provider before making a decision.