Neurons Lab vs Revelo: full comparison for 2026
Quick verdict
Neurons Lab (4.1/5) edges ahead of Revelo (4.0/5) overall. Neurons Lab is the better choice for financial firms that want flexible, short engagements with LLM specialists. Revelo is the stronger option for U.S. companies that want a Latin American AI engineer without upfront fees or a long contract. The right choice depends on your project size, budget, and required tech stack.
Neurons Lab vs Revelo: head-to-head summary
| Criterion | Neurons Lab | Revelo |
|---|---|---|
| Founded | 2019 | 2014 |
| HQ | London, United Kingdom | Miami, Florida, USA |
| Team size | 50–200 staff; 500+ network | 400,000+ network (company figure) |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Network model that makes short and part-time engagements easy | No upfront fees, no long-term contract and published salary benchmarks |
| Pricing model | Monthly per engineer or project fee; rates on request | Monthly per engineer; no upfront fees or long-term contracts (per company); senior AI/ML all-in cost about $103,000/yr (company benchmark) |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, LangChain, OpenAI | Python, PyTorch, TensorFlow |
| Industries served | Financial services, Insurance, Healthcare, Cleantech, Retail | Technology, Fintech, SaaS, Healthcare, AI labs |
Neurons Lab vs Revelo: overview
Neurons Lab
Neurons Lab was founded in London in 2019 and keeps a small core staff while drawing on a distributed network of more than 500 engineers, according to its site. That arrangement makes it easy to buy a specialist for a short stretch or part of each week, which an employer-only model makes harder. Its clients include banks and insurers, and it holds an AWS generative AI competency. Continuity is the trade-off, because network members are not employees.
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.
Services and capabilities: Neurons Lab vs Revelo
| Capability | Neurons Lab | Revelo |
|---|---|---|
| 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: Neurons Lab vs Revelo
| Framework / platform | Neurons Lab | Revelo |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | N/A | ✓ |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Neurons Lab vs Revelo
| Criterion | Neurons Lab | Revelo |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated, Part-time fractional, Project delivery | Full-time dedicated, Freelance contract |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Neurons Lab vs Revelo
| Dimension | Neurons Lab | Revelo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Insurance, Healthcare | Technology, Fintech, SaaS |
| Best use cases | Buying three months of an agent engineer's time, Adding a part-time LLM specialist to an insurer's team | Hiring a Brazilian ML engineer without a long contract, Budgeting a nearshore AI team from published salary data |
| Typical project type | Full-time dedicated | Full-time dedicated |
Neurons Lab vs Revelo: pros and cons
| Neurons Lab | |
|---|---|
| + | Part-time and short engagements are easy to arrange |
| + | Banking and insurance references |
| + | AWS generative AI competency |
| - | Network members are not employees |
| - | No published rates |
| - | Headcount estimates vary |
| 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 |
Who should choose Neurons Lab?
A typical fit: buying three months of an agent engineer's time.
Network model that makes short and part-time engagements easy. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Insurance, Healthcare, Cleantech, Retail.
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.
Decision matrix: Neurons Lab vs Revelo
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | Both; Neurons Lab rates higher overall |
| You only need a specialist a few days a week | Neurons Lab |
| 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: Neurons Lab (Not published) vs Revelo (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 | Neurons Lab |
Use case fit: Neurons Lab vs Revelo
| Use case | Neurons Lab fit | Revelo fit | Winner |
|---|---|---|---|
| Buying three months of an agent engineer's time | Strong | Limited | Neurons Lab |
| Adding a part-time LLM specialist to an insurer's team | Strong | Strong | Both equally |
| Hiring a Brazilian ML engineer without a long contract | Limited | Strong | Revelo |
| Budgeting a nearshore AI team from published salary data | Limited | Strong | Revelo |
Verdict: Neurons Lab vs Revelo
Neurons Lab (4.1/5) is the stronger overall choice for most AI Staff Augmentation projects. Network model that makes short and part-time engagements easy.
Revelo (4.0/5) is worth a look if you need budgeting a nearshore AI team from published salary data. If your situation matches that, Revelo is a competitive option.
Related comparisons
Neurons Lab vs Revelo FAQ
Is Neurons Lab better than Revelo?
Neurons Lab (4.1/5) scores higher overall, but "better" depends on your use case. Neurons Lab's strongest advantage: part-time and short engagements are easy to arrange. Revelo's strongest advantage: no upfront fee or long-term contract.
How do Neurons Lab and Revelo differ in pricing?
Neurons Lab uses monthly per engineer or project fee; rates on request 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. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Neurons Lab or Revelo?
Neurons Lab 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 Neurons Lab and Revelo?
Neurons Lab's primary differentiator is: network model that makes short and part-time engagements easy. Revelo's primary differentiator is: no upfront fees, no long-term contract and published salary benchmarks. They also differ in team size (50–200 staff; 500+ network vs 400,000+ network (company figure)), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Insurance vs Technology, Fintech).
Verify all details directly with each provider before making a decision.