Revelo vs Brainpool AI: full comparison for 2026
Quick verdict
Revelo (4.0/5) edges ahead of Brainpool AI (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. Brainpool AI is the stronger option for academic ML depth for one defined project. The right choice depends on your project size, budget, and required tech stack.
Revelo vs Brainpool AI: head-to-head summary
| Criterion | Revelo | Brainpool AI |
|---|---|---|
| Founded | 2014 | 2017 |
| HQ | Miami, Florida, USA | London, United Kingdom |
| Team size | 400,000+ network (company figure) | Small core team; 500-expert network |
| Rating | 4.0 / 5 | 3.7 / 5 |
| Primary differentiator | No upfront fees, no long-term contract and published salary benchmarks | Project access to experts from leading UK universities |
| 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) | Project-based fees; 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 | Financial services, Retail, Healthcare, Media, Technology |
Revelo vs Brainpool AI: 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.
Brainpool AI
Brainpool AI, which says it has operated since 2017 (directories give 2016), is a London company founded by researchers who met at University College London. It built a network of about 500 AI and ML experts from universities such as UCL, Oxford and Cambridge and sells access on a project basis alongside consultancy. More recently it has moved toward its own agent platform, Cortex. Buyers get academic depth by the project, but not dedicated full-time staff.
Services and capabilities: Revelo vs Brainpool AI
| Capability | Revelo | Brainpool AI |
|---|---|---|
| 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 Brainpool AI
| Framework / platform | Revelo | Brainpool AI |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | ✓ |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | N/A |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | N/A |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Revelo vs Brainpool AI
| Criterion | Revelo | Brainpool AI |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated, Freelance contract | Part-time fractional, Project delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Revelo vs Brainpool AI
| Dimension | Revelo | Brainpool AI |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology, Fintech, SaaS | Financial services, Retail, Healthcare |
| Best use cases | Hiring a Brazilian ML engineer without a long contract, Budgeting a nearshore AI team from published salary data | A short research project on a novel NLP problem, An expert review of a model's methodology |
| Typical project type | Full-time dedicated | Part-time fractional |
Revelo vs Brainpool AI: 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 |
| Brainpool AI | |
|---|---|
| + | Research-grade experts |
| + | Project-based buying |
| + | UK base |
| - | No full-time staffing |
| - | Shift toward its own platform may reduce expert work |
| - | Founding year differs by source |
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 Brainpool AI?
A typical fit: a short research project on a novel NLP problem.
Project access to experts from leading UK universities. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail, Healthcare, Media, Technology.
Decision matrix: Revelo vs Brainpool AI
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | Revelo |
| You only need a specialist a few days a week | Brainpool AI |
| 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 Brainpool AI (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 | Neither lists dedicated teams; check team size before signing |
Use case fit: Revelo vs Brainpool AI
| Use case | Revelo fit | Brainpool AI 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 |
| A short research project on a novel NLP problem | Strong | Strong | Both equally |
| An expert review of a model's methodology | Strong | Strong | Both equally |
Verdict: Revelo vs Brainpool AI
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.
Brainpool AI (3.7/5) is worth a look if you need an expert review of a model's methodology. If your situation matches that, Brainpool AI is a competitive option.
Related comparisons
Revelo vs Brainpool AI FAQ
Is Revelo better than Brainpool AI?
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. Brainpool AI's strongest advantage: research-grade experts.
How do Revelo and Brainpool AI 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. Brainpool AI uses project-based fees; 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 Brainpool AI?
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 Brainpool AI?
Revelo's primary differentiator is: no upfront fees, no long-term contract and published salary benchmarks. Brainpool AI's primary differentiator is: project access to experts from leading UK universities. They also differ in team size (400,000+ network (company figure) vs Small core team; 500-expert network), minimum engagement (Not published vs Not published), and primary industries served (Technology, Fintech vs Financial services, Retail).
Verify all details directly with each provider before making a decision.