deepsense.ai vs Revelo: full comparison for 2026
Quick verdict
deepsense.ai (4.3/5) edges ahead of Revelo (3.8/5) overall. deepsense.ai is the better choice for research-heavy ML problems, computer vision, edge AI. Revelo is the stronger option for hiring Latin American developers through a marketplace. 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 | São Paulo, Brazil |
| Team size | 100–200 | 400,000+ developer network (per company) |
| Rating | 4.3 / 5 | 3.8 / 5 |
| Primary differentiator | A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench | A very large Latin American pool with payroll and compliance included |
| Pricing model | Time and materials for augmented engineers; project contracts; rates on request | Marketplace placement with monthly billing; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, OpenAI, Hugging Face |
| Industries served | Manufacturing, Retail & e-commerce, Healthcare & life sciences, Financial services, Software & SaaS | Software & SaaS, AI research labs, Financial services |
deepsense.ai vs Revelo: overview
deepsense.ai
deepsense.ai was founded in 2014, grew out of the AI division of CodiLime, and is headquartered in Warsaw with an office in Palo Alto. Third-party directories put its headcount between roughly 100 and 200 people, and the company says it employs more than 120 AI experts, including Kaggle competition winners and PhD holders. Besides project work in generative AI, MLOps, computer vision and edge AI, it runs a dedicated AI staff augmentation service in which its own engineers extend a client's team.
Revelo
Revelo was founded in late 2014 in Brazil (some sources say 2015) and began as a domestic hiring platform called Contratado. It now runs a network of more than 400,000 Latin American developers and handles hiring and payment for U.S. customers. TechCrunch reported that work on foundation models made up 22% of Revelo's revenue in 2024. Revelo is a marketplace, so engineers are matched through its platform rather than employed in a delivery center.
Services and capabilities: deepsense.ai vs Revelo
| Capability | deepsense.ai | Revelo |
|---|---|---|
| LLM / GenAI engineers | ✓ | ✓ |
| MLOps & deployment | ✓ | ✗ |
| Computer vision | ✓ | ✗ |
| Data engineering | ✗ | ✗ |
| AI agent development | ✗ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✓ |
Tech stack comparison: deepsense.ai vs Revelo
| Framework / platform | deepsense.ai | Revelo |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | ✓ |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Databricks | N/A | N/A |
| MLflow | ✓ | 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 engineers, Dedicated team, Managed delivery | Full-time dedicated engineers |
| 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 & e-commerce, Healthcare & life sciences | Software & SaaS, AI research labs, Financial services |
| Best use cases | Adding a computer-vision specialist to a manufacturing quality team, Bringing research depth into a stalled model-accuracy effort | Hiring LLM data specialists for a model-training effort, Adding a Brazilian developer to a U.S. SaaS team |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
deepsense.ai vs Revelo: pros and cons
| deepsense.ai | |
|---|---|
| + | Every engineer it places comes from an AI-only company |
| + | Strong record in computer vision and edge deployment |
| + | Clutch reviewers describe team-augmentation work with strong engineering skills |
| - | A bench of roughly 120 AI staff limits how many people can start at once |
| - | Polish rates are higher than Ukrainian or Latin American alternatives |
| - | Better suited to hard modeling work than to routine LLM integration |
| Revelo | |
|---|---|
| + | Very large pool across Latin America |
| + | Handles hiring, payroll and compliance |
| + | Foundation-model work gives some engineers LLM training experience |
| - | Marketplace matching means quality varies by candidate |
| - | Founding year is reported as both 2014 and 2015 |
| - | Less hands-on management than employer-based firms |
Who should choose deepsense.ai?
A typical fit: adding a computer-vision specialist to a manufacturing quality team.
A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Retail & e-commerce, Healthcare & life sciences, Financial services, Software & SaaS.
Who should choose Revelo?
A typical fit: hiring LLM data specialists for a model-training effort.
A very large Latin American pool with payroll and compliance included. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, AI research labs, Financial services.
Decision matrix: deepsense.ai vs Revelo
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | deepsense.ai |
| You want the supplier to own delivery as well as staffing | deepsense.ai |
| You need one expert part-time | Neither lists part-time experts; ask about reduced hours |
| You want to test an engineer before signing for months | Neither publishes a trial; ask for a short first term |
| Your budget is at the lower end | Compare: deepsense.ai (Not published) vs Revelo (Not published) |
| You need overlap with U.S. working hours | Revelo |
| You need specialist depth in a specific vertical | deepsense.ai |
Use case fit: deepsense.ai vs Revelo
| Use case | deepsense.ai fit | Revelo fit | Winner |
|---|---|---|---|
| Adding a computer-vision specialist to a manufacturing quality team | Strong | Strong | Both equally |
| Bringing research depth into a stalled model-accuracy effort | Strong | Limited | deepsense.ai |
| Hiring LLM data specialists for a model-training effort | Limited | Strong | Revelo |
| Adding a Brazilian developer to a U.S. SaaS team | Strong | Strong | Both equally |
Verdict: deepsense.ai vs Revelo
deepsense.ai (4.3/5) is the stronger overall choice for most AI Staff Augmentation projects. A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench.
Revelo (3.8/5) is worth a look if you need adding a Brazilian developer to a U.S. SaaS team. 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 (4.3/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: every engineer it places comes from an AI-only company. Revelo's strongest advantage: very large pool across Latin America.
How do deepsense.ai and Revelo differ in pricing?
deepsense.ai uses time and materials for augmented engineers; project contracts; rates on request pricing. Revelo uses marketplace placement with monthly billing; 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: 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 company before shortlisting.
What are the main differences between deepsense.ai and Revelo?
deepsense.ai's primary differentiator is: a pure applied-AI firm whose augmented engineers come from a research-grade data-science bench. Revelo's primary differentiator is: a very large Latin American pool with payroll and compliance included. They also differ in team size (100–200 vs 400,000+ developer network (per company)), minimum engagement (Not published vs Not published), and primary industries served (Manufacturing, Retail & e-commerce vs Software & SaaS, AI research labs).
Verify all details directly with each company before making a decision.