deepsense.ai vs Revelo: full comparison for 2026
Quick verdict
deepsense.ai (4.4/5) edges ahead of Revelo (4.0/5) overall. deepsense.ai is the better choice for long monthly contracts with employed senior ML engineers. 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.
deepsense.ai vs Revelo: head-to-head summary
| Criterion | deepsense.ai | Revelo |
|---|---|---|
| Founded | 2014 | 2014 |
| HQ | Warsaw, Poland | Miami, Florida, USA |
| Team size | 100–200 | 400,000+ network (company figure) |
| Rating | 4.4 / 5 | 4.0 / 5 |
| Primary differentiator | Monthly access to about 120 employed AI specialists with production experience | No upfront fees, no long-term contract and published salary benchmarks |
| Pricing model | Team extension billed monthly per engineer; projects quoted separately; 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, PyTorch, TensorFlow | Python, PyTorch, TensorFlow |
| Industries served | Manufacturing, Retail, Healthcare, Financial services, Technology | Technology, Fintech, SaaS, Healthcare, AI labs |
deepsense.ai vs Revelo: overview
deepsense.ai
deepsense.ai has worked on AI from Warsaw since 2014 and employs about 120 AI specialists, according to its job listings. You buy its engineers as monthly team extension, alongside or instead of a consulting project, and most of them are employees rather than contractors, which keeps the same person on your work for longer. Its strengths are computer vision, MLOps and LLM systems that have to run in production. There is no public rate card, and staffing gets less marketing attention than its project work.
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: deepsense.ai vs Revelo
| Capability | deepsense.ai | 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: deepsense.ai vs Revelo
| Framework / platform | deepsense.ai | Revelo |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: deepsense.ai vs Revelo
| Criterion | deepsense.ai | Revelo |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated, Dedicated team, Project delivery | Full-time dedicated, Freelance contract |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: deepsense.ai vs Revelo
| Dimension | deepsense.ai | Revelo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Retail, Healthcare | Technology, Fintech, SaaS |
| Best use cases | Extending a platform team with an MLOps engineer for a year, Adding a computer vision engineer to a quality-inspection product | 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 |
deepsense.ai vs Revelo: pros and cons
| deepsense.ai | |
|---|---|
| + | Mostly employed engineers, so continuity is good |
| + | Can switch between staffing and a delivered project |
| + | Strong computer vision and MLOps depth |
| - | No part-time or trial option published |
| - | No public rates |
| - | About 120 people, so large requests take time |
| 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 deepsense.ai?
A typical fit: extending a platform team with an MLOps engineer for a year.
Monthly access to about 120 employed AI specialists with production experience. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Retail, Healthcare, Financial services, Technology.
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: deepsense.ai vs Revelo
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | Both; deepsense.ai 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: deepsense.ai (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 | deepsense.ai |
Use case fit: deepsense.ai vs Revelo
| Use case | deepsense.ai fit | Revelo fit | Winner |
|---|---|---|---|
| Extending a platform team with an MLOps engineer for a year | Strong | Limited | deepsense.ai |
| Adding a computer vision engineer to a quality-inspection product | 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: deepsense.ai vs Revelo
deepsense.ai (4.4/5) is the stronger overall choice for most AI Staff Augmentation projects. Monthly access to about 120 employed AI specialists with production experience.
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
deepsense.ai vs Revelo FAQ
Is deepsense.ai better than Revelo?
deepsense.ai (4.4/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: mostly employed engineers, so continuity is good. Revelo's strongest advantage: no upfront fee or long-term contract.
How do deepsense.ai and Revelo differ in pricing?
deepsense.ai uses team extension billed monthly per engineer; projects quoted separately; 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: deepsense.ai or Revelo?
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 deepsense.ai and Revelo?
deepsense.ai's primary differentiator is: monthly access to about 120 employed AI specialists with production experience. Revelo's primary differentiator is: no upfront fees, no long-term contract and published salary benchmarks. They also differ in team size (100–200 vs 400,000+ network (company figure)), minimum engagement (Not published vs Not published), and primary industries served (Manufacturing, Retail vs Technology, Fintech).
Verify all details directly with each provider before making a decision.