DataArt vs Revelo: full comparison for 2026
Quick verdict
DataArt (4.0/5) edges ahead of Revelo (3.9/5) overall. DataArt is the better choice for financial and travel firms needing long-lived dedicated teams. Revelo is the stronger option for companies hiring LatAm developers without a local entity. The right choice depends on your project size, budget, and required tech stack.
DataArt vs Revelo: head-to-head summary
| Criterion | DataArt | Revelo |
|---|---|---|
| Founded | 1997 | 2014 |
| HQ | New York, USA | Miami, Florida, USA |
| Team size | 5,000–6,000 | 251–500 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | Dedicated development centers with nearly 30 years of history | Payroll and compliance handled for LatAm hires |
| Pricing model | Dedicated development center; time and materials; rates on request | Monthly per developer including payroll and compliance; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, Azure ML, AWS | Python, OpenAI, AWS |
| Industries served | Fintech, Travel, Healthcare, Media | SaaS, Fintech, E-commerce, AI labs |
DataArt vs Revelo: overview
DataArt
DataArt was founded in New York in 1997 by Eugene Goland and now employs between 5,000 and 6,000 people across more than 40 locations. Its Dedicated Development Center model staffs a team that works on one client's project only. An AI/ML group is actively hiring, with recent roles including a lead AI/ML engineer for an HR copilot built for a French SaaS client.
Revelo
Revelo traces its start to late 2014 and is headquartered in Miami, with 251–500 employees according to one directory. It runs a platform of more than 400,000 Latin American developers and handles sourcing, compliance, local payroll and benefits, so clients can hire individuals or whole teams without opening a local entity. It has also moved into LLM post-training work, supplying developers for supervised fine-tuning and RLHF projects. It has raised more than $48 million from investors including Social Capital and Valor Capital Group.
Services and capabilities: DataArt vs Revelo
| Capability | DataArt | 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: DataArt vs Revelo
| Framework / platform | DataArt | Revelo |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | ✓ | N/A |
| Databricks | ✓ | N/A |
| MLflow | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: DataArt vs Revelo
| Criterion | DataArt | Revelo |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Managed delivery | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: DataArt vs Revelo
| Dimension | DataArt | Revelo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Travel, Healthcare | SaaS, Fintech, E-commerce |
| Best use cases | Setting up a long-term dedicated team that includes ML engineers, Adding an LLM engineer to a SaaS copilot project | Hiring a full-time LatAm developer with payroll handled, Staffing LLM post-training projects |
| Typical project type | Dedicated team | Full-time dedicated engineers |
DataArt vs Revelo: pros and cons
| DataArt | |
|---|---|
| + | Long-running dedicated teams with low churn |
| + | Strong presence in finance and travel |
| + | Wide location choice |
| - | Built for multi-year centers more than quick single hires |
| - | AI/ML group is still growing |
| - | Enterprise pricing |
| Revelo | |
|---|---|
| + | Removes the legal and payroll work of hiring in Latin America |
| + | Large candidate pool |
| + | Experience supplying engineers for LLM training work |
| - | Platform model means vetting is lighter than at engineering agencies |
| - | AI focus leans toward LLM training data over product engineering |
| - | Pricing requires a call |
Who should choose DataArt?
A typical fit: setting up a long-term dedicated team that includes ML engineers.
Dedicated development centers with nearly 30 years of history. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Travel, Healthcare, Media.
Who should choose Revelo?
A typical fit: hiring a full-time LatAm developer with payroll handled.
Payroll and compliance handled for LatAm hires. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, AI labs.
Decision matrix: DataArt vs Revelo
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | DataArt |
| Your budget is at the lower end | Compare: DataArt (Not disclosed) vs Revelo (Not disclosed) |
| You need specialist depth in a specific vertical | DataArt |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: DataArt vs Revelo
| Use case | DataArt fit | Revelo fit | Winner |
|---|---|---|---|
| Setting up a long-term dedicated team that includes ML engineers | Strong | Limited | DataArt |
| Adding an LLM engineer to a SaaS copilot project | Strong | Limited | DataArt |
| Hiring a full-time LatAm developer with payroll handled | Limited | Strong | Revelo |
| Staffing LLM post-training projects | Limited | Strong | Revelo |
Verdict: DataArt vs Revelo
DataArt (4.0/5) is the stronger overall choice for most AI Staffing projects. Dedicated development centers with nearly 30 years of history.
Revelo (3.9/5) is worth a look if you need staffing LLM post-training projects. If your situation matches that, Revelo is a competitive option.
Related comparisons
DataArt vs Revelo FAQ
Is DataArt better than Revelo?
DataArt (4.0/5) scores higher overall, but "better" depends on your use case. DataArt's strongest advantage: long-running dedicated teams with low churn. Revelo's strongest advantage: removes the legal and payroll work of hiring in Latin America.
How do DataArt and Revelo differ in pricing?
DataArt uses dedicated development center; time and materials; rates on request pricing. Revelo uses monthly per developer including payroll and compliance; 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: DataArt or Revelo?
DataArt is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between DataArt and Revelo?
DataArt's primary differentiator is: dedicated development centers with nearly 30 years of history. Revelo's primary differentiator is: payroll and compliance handled for LatAm hires. They also differ in team size (5,000–6,000 vs 251–500), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Travel vs SaaS, Fintech).
Verify all details directly with each agency before making a decision.