Encora vs Revelo: full comparison for 2026
Quick verdict
Encora (4.0/5) edges ahead of Revelo (3.8/5) overall. Encora is the better choice for U.S. firms wanting nearshore AI teams from a large provider. 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.
Encora vs Revelo: head-to-head summary
| Criterion | Encora | Revelo |
|---|---|---|
| Founded | 2005 | 2014 |
| HQ | Scottsdale, Arizona, USA | São Paulo, Brazil |
| Team size | 9,500+ | 400,000+ developer network (per company) |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Primary differentiator | Large Mexican and Latin American delivery base with an AI engineering practice | A very large Latin American pool with payroll and compliance included |
| Pricing model | Dedicated teams; time and materials; rates on request | Marketplace placement with monthly billing; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, OpenAI, AWS | Python, OpenAI, Hugging Face |
| Industries served | Software & SaaS, Healthcare & life sciences, Financial services, Travel | Software & SaaS, AI research labs, Financial services |
Encora vs Revelo: overview
Encora
Encora was founded in 2005 and is headquartered in Scottsdale, Arizona. It took its current name in 2020 after combining subsidiaries including Nearsoft, and it later absorbed Avantica. The company reports more than 9,500 engineers, designers and domain experts across the Americas, Europe, India and Southeast Asia, with AI and LLM engineering among its service lines. In December 2025 the Indian IT firm Coforge agreed to acquire Encora for about $2.35 billion, and Coforge said in April 2026 that all regulatory clearances had been received.
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: Encora vs Revelo
| Capability | Encora | 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: Encora vs Revelo
| Framework / platform | Encora | Revelo |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | ✓ |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Databricks | ✓ | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Encora vs Revelo
| Criterion | Encora | Revelo |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Full-time dedicated engineers, Managed delivery | Full-time dedicated engineers |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Encora vs Revelo
| Dimension | Encora | Revelo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Software & SaaS, Healthcare & life sciences, Financial services | Software & SaaS, AI research labs, Financial services |
| Best use cases | Building a nearshore team for a SaaS product's AI roadmap, Adding data and LLM engineers to a healthcare platform | 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 |
Encora vs Revelo: pros and cons
| Encora | |
|---|---|
| + | Nearshore delivery from Mexico and Latin America on U.S. hours |
| + | Scale to staff several teams at once |
| + | AI work is a named service line with its own platform |
| - | The Coforge acquisition may change account management, pricing and contract terms |
| - | Dedicated teams are the norm, so single-seat placements are less common |
| - | AI depth varies by delivery center |
| 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 Encora?
A typical fit: building a nearshore team for a SaaS product's AI roadmap.
Large Mexican and Latin American delivery base with an AI engineering practice. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Healthcare & life sciences, Financial services, Travel.
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: Encora vs Revelo
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Encora |
| You want the supplier to own delivery as well as staffing | Encora |
| 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: Encora (Not published) vs Revelo (Not published) |
| You need overlap with U.S. working hours | Both; Encora rates higher overall |
| You need specialist depth in a specific vertical | Encora |
Use case fit: Encora vs Revelo
| Use case | Encora fit | Revelo fit | Winner |
|---|---|---|---|
| Building a nearshore team for a SaaS product's AI roadmap | Strong | Limited | Encora |
| Adding data and LLM engineers to a healthcare platform | Strong | Strong | Both equally |
| 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: Encora vs Revelo
Encora (4.0/5) is the stronger overall choice for most AI Staff Augmentation projects. Large Mexican and Latin American delivery base with an AI engineering practice.
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
Encora vs Revelo FAQ
Is Encora better than Revelo?
Encora (4.0/5) scores higher overall, but "better" depends on your use case. Encora's strongest advantage: nearshore delivery from Mexico and Latin America on U.S. hours. Revelo's strongest advantage: very large pool across Latin America.
How do Encora and Revelo differ in pricing?
Encora uses dedicated teams; time and materials; 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: Encora 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 Encora and Revelo?
Encora's primary differentiator is: large Mexican and Latin American delivery base with an AI engineering practice. Revelo's primary differentiator is: a very large Latin American pool with payroll and compliance included. They also differ in team size (9,500+ vs 400,000+ developer network (per company)), minimum engagement (Not published vs Not published), and primary industries served (Software & SaaS, Healthcare & life sciences vs Software & SaaS, AI research labs).
Verify all details directly with each company before making a decision.