Intellias vs Revelo: full comparison for 2026
Quick verdict
Intellias (4.0/5) edges ahead of Revelo (3.8/5) overall. Intellias is the better choice for automotive and location-tech teams adding ML engineers. 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.
Intellias vs Revelo: head-to-head summary
| Criterion | Intellias | Revelo |
|---|---|---|
| Founded | 2002 | 2014 |
| HQ | Lviv, Ukraine | São Paulo, Brazil |
| Team size | 1,000+ | 400,000+ developer network (per company) |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Primary differentiator | Domain depth in automotive and mapping software | A very large Latin American pool with payroll and compliance included |
| Pricing model | Time and materials; dedicated teams; rates on request | Marketplace placement with monthly billing; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, C++, TensorFlow | Python, OpenAI, Hugging Face |
| Industries served | Automotive, Financial services, Telecommunications, Retail & e-commerce | Software & SaaS, AI research labs, Financial services |
Intellias vs Revelo: overview
Intellias
Intellias was founded in Lviv in 2002 by Vitaliy Sedler and Mykhailo Puzrakov and has grown past 1,000 employees, with Horizon Capital among its investors. It describes itself as an AI-enabled product engineering partner and works heavily in automotive, location technology, fintech and telecom. Clients can extend their teams with Intellias engineers, although much of its business is managed delivery.
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: Intellias vs Revelo
| Capability | Intellias | 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: Intellias vs Revelo
| Framework / platform | Intellias | Revelo |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | ✓ |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Intellias vs Revelo
| Criterion | Intellias | Revelo |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Managed delivery, Full-time dedicated engineers | Full-time dedicated engineers |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Intellias vs Revelo
| Dimension | Intellias | Revelo |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Automotive, Financial services, Telecommunications | Software & SaaS, AI research labs, Financial services |
| Best use cases | Adding perception engineers to an automotive software team, Extending a mapping product with ML features | Hiring LLM data specialists for a model-training effort, Adding a Brazilian developer to a U.S. SaaS team |
| Typical project type | Dedicated team | Full-time dedicated engineers |
Intellias vs Revelo: pros and cons
| Intellias | |
|---|---|
| + | Rare automotive and navigation domain experience |
| + | Computer-vision work linked to driver-assistance projects |
| + | Established European employer |
| - | Prefers managed delivery over single-seat placements |
| - | Headcount data is dated, so confirm current AI capacity |
| - | Rates are not published |
| 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 Intellias?
A typical fit: adding perception engineers to an automotive software team.
Domain depth in automotive and mapping software. Minimum engagement is not publicly disclosed. Works best with clients in Automotive, Financial services, Telecommunications, Retail & e-commerce.
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: Intellias vs Revelo
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Intellias |
| You want the supplier to own delivery as well as staffing | Intellias |
| 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: Intellias (Not published) vs Revelo (Not published) |
| You need overlap with U.S. working hours | Revelo |
| You need specialist depth in a specific vertical | Intellias |
Use case fit: Intellias vs Revelo
| Use case | Intellias fit | Revelo fit | Winner |
|---|---|---|---|
| Adding perception engineers to an automotive software team | Strong | Strong | Both equally |
| Extending a mapping product with ML features | Strong | Limited | Intellias |
| 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: Intellias vs Revelo
Intellias (4.0/5) is the stronger overall choice for most AI Staff Augmentation projects. Domain depth in automotive and mapping software.
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.
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Intellias vs Revelo FAQ
Is Intellias better than Revelo?
Intellias (4.0/5) scores higher overall, but "better" depends on your use case. Intellias's strongest advantage: rare automotive and navigation domain experience. Revelo's strongest advantage: very large pool across Latin America.
How do Intellias and Revelo differ in pricing?
Intellias uses time and materials; dedicated teams; 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: Intellias 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 Intellias and Revelo?
Intellias's primary differentiator is: domain depth in automotive and mapping software. Revelo's primary differentiator is: a very large Latin American pool with payroll and compliance included. They also differ in team size (1,000+ vs 400,000+ developer network (per company)), minimum engagement (Not published vs Not published), and primary industries served (Automotive, Financial services vs Software & SaaS, AI research labs).
Verify all details directly with each company before making a decision.