Revelo vs Vention: full comparison for 2026
Quick verdict
Revelo (3.8/5) edges ahead of Vention (3.8/5) overall. Revelo is the better choice for hiring Latin American developers through a marketplace. Vention is the stronger option for venture-backed startups scaling product and AI engineers. The right choice depends on your project size, budget, and required tech stack.
Revelo vs Vention: head-to-head summary
| Criterion | Revelo | Vention |
|---|---|---|
| Founded | 2014 | 2002 |
| HQ | São Paulo, Brazil | New York, New York, USA |
| Team size | 400,000+ developer network (per company) | 3,000+ |
| Rating | 3.8 / 5 | 3.8 / 5 |
| Primary differentiator | A very large Latin American pool with payroll and compliance included | Long record of extending startup engineering teams |
| Pricing model | Marketplace placement with monthly billing; rates on request | Time and materials; dedicated teams; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, OpenAI, Hugging Face | Python, TensorFlow, OpenCV |
| Industries served | Software & SaaS, AI research labs, Financial services | Software & SaaS, Financial services, Healthcare & life sciences, Media |
Revelo vs Vention: overview
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.
Vention
Vention was founded in 2002 and operated as iTechArt Group before rebranding. It is headquartered in New York and says it has more than 3,000 engineers across 20+ offices (per company website; independently unverifiable). Its AI services include chatbots, computer vision and AI consulting, and Clutch reviewers describe it supplying backend, frontend, QA and design staff to client teams, especially at venture-backed startups.
Services and capabilities: Revelo vs Vention
| Capability | Revelo | Vention |
|---|---|---|
| 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: Revelo vs Vention
| Framework / platform | Revelo | Vention |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Revelo vs Vention
| Criterion | Revelo | Vention |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Revelo vs Vention
| Dimension | Revelo | Vention |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Software & SaaS, AI research labs, Financial services | Software & SaaS, Financial services, Healthcare & life sciences |
| Best use cases | Hiring LLM data specialists for a model-training effort, Adding a Brazilian developer to a U.S. SaaS team | Scaling a Series B startup's team with ML and backend engineers, Adding a computer-vision feature to a consumer app |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
Revelo vs Vention: pros and cons
| 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 |
| Vention | |
|---|---|
| + | Well practiced at scaling startup teams quickly |
| + | Can staff product roles around an AI feature |
| + | Large bench across many offices |
| - | AI is a minor share of its work |
| - | Rebrand from iTechArt means older reviews appear under a different name |
| - | Rates are not published |
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.
Who should choose Vention?
A typical fit: scaling a Series B startup's team with ML and backend engineers.
Long record of extending startup engineering teams. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Financial services, Healthcare & life sciences, Media.
Decision matrix: Revelo vs Vention
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Vention |
| You want the supplier to own delivery as well as staffing | Neither offers managed delivery; you will lead the work |
| 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: Revelo (Not published) vs Vention (Not published) |
| You need overlap with U.S. working hours | Revelo |
| You need specialist depth in a specific vertical | Vention |
Use case fit: Revelo vs Vention
| Use case | Revelo fit | Vention fit | Winner |
|---|---|---|---|
| Hiring LLM data specialists for a model-training effort | Strong | Limited | Revelo |
| Adding a Brazilian developer to a U.S. SaaS team | Strong | Strong | Both equally |
| Scaling a Series B startup's team with ML and backend engineers | Strong | Strong | Both equally |
| Adding a computer-vision feature to a consumer app | Strong | Strong | Both equally |
Verdict: Revelo vs Vention
Revelo (3.8/5) is the stronger overall choice for most AI Staff Augmentation projects. A very large Latin American pool with payroll and compliance included.
Vention (3.8/5) is worth a look if you need adding a computer-vision feature to a consumer app. If your situation matches that, Vention is a competitive option.
Related comparisons
Revelo vs Vention FAQ
Is Revelo better than Vention?
Revelo (3.8/5) scores higher overall, but "better" depends on your use case. Revelo's strongest advantage: very large pool across Latin America. Vention's strongest advantage: well practiced at scaling startup teams quickly.
How do Revelo and Vention differ in pricing?
Revelo uses marketplace placement with monthly billing; rates on request pricing. Vention uses time and materials; dedicated teams; 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 Vention?
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 Revelo and Vention?
Revelo's primary differentiator is: a very large Latin American pool with payroll and compliance included. Vention's primary differentiator is: long record of extending startup engineering teams. They also differ in team size (400,000+ developer network (per company) vs 3,000+), minimum engagement (Not published vs Not published), and primary industries served (Software & SaaS, AI research labs vs Software & SaaS, Financial services).
Verify all details directly with each company before making a decision.