N-iX vs Revelo: full comparison for 2026
Quick verdict
N-iX (4.2/5) edges ahead of Revelo (3.8/5) overall. N-iX is the better choice for data-heavy AI work needing a large European team. 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.
N-iX vs Revelo: head-to-head summary
| Criterion | N-iX | Revelo |
|---|---|---|
| Founded | 2002 | 2014 |
| HQ | Lviv, Ukraine | São Paulo, Brazil |
| Team size | 2,000+ | 400,000+ developer network (per company) |
| Rating | 4.2 / 5 | 3.8 / 5 |
| Primary differentiator | Data engineering and ML from a 2,000-person European employer with two decades of delivery history | 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, Spark, Databricks | Python, OpenAI, Hugging Face |
| Industries served | Financial services, Telecommunications, Retail & e-commerce, Manufacturing, Logistics | Software & SaaS, AI research labs, Financial services |
N-iX vs Revelo: overview
N-iX
N-iX began in Lviv in 2002 as Novellix, a startup building Linux applications for Novell, and is still headquartered there. The company reports more than 2,000 professionals across Ukrainian hubs and offices elsewhere in Europe and Latin America. Machine learning, data analytics and cloud sit among its main practices, and clients can extend their teams with N-iX engineers or hand over a full project. It is an employer-based firm, not a marketplace.
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: N-iX vs Revelo
| Capability | N-iX | 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: N-iX vs Revelo
| Framework / platform | N-iX | Revelo |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | ✓ |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Databricks | ✓ | N/A |
| MLflow | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: N-iX vs Revelo
| Criterion | N-iX | 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: N-iX vs Revelo
| Dimension | N-iX | Revelo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Telecommunications, Retail & e-commerce | Software & SaaS, AI research labs, Financial services |
| Best use cases | Building the data platform and feature store behind a forecasting model, Extending an EU retailer's analytics team with ML engineers | 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 |
N-iX vs Revelo: pros and cons
| N-iX | |
|---|---|
| + | Data-platform depth suits AI work that depends on messy enterprise data |
| + | Large enough to staff multi-team programs from one vendor |
| + | European time zones overlap well with UK and EU clients |
| - | AI is part of a broad engineering catalog, so check each engineer's ML track record |
| - | Ukrainian delivery may raise continuity questions in some procurement reviews |
| - | 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 N-iX?
A typical fit: building the data platform and feature store behind a forecasting model.
Data engineering and ML from a 2,000-person European employer with two decades of delivery history. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Telecommunications, Retail & e-commerce, Manufacturing, Logistics.
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: N-iX vs Revelo
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | N-iX |
| You want the supplier to own delivery as well as staffing | N-iX |
| 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: N-iX (Not published) vs Revelo (Not published) |
| You need overlap with U.S. working hours | Revelo |
| You need specialist depth in a specific vertical | N-iX |
Use case fit: N-iX vs Revelo
| Use case | N-iX fit | Revelo fit | Winner |
|---|---|---|---|
| Building the data platform and feature store behind a forecasting model | Strong | Limited | N-iX |
| Extending an EU retailer's analytics team with ML engineers | Strong | Limited | N-iX |
| Hiring LLM data specialists for a model-training effort | Limited | Strong | Revelo |
| Adding a Brazilian developer to a U.S. SaaS team | Limited | Strong | Revelo |
Verdict: N-iX vs Revelo
N-iX (4.2/5) is the stronger overall choice for most AI Staff Augmentation projects. Data engineering and ML from a 2,000-person European employer with two decades of delivery history.
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
N-iX vs Revelo FAQ
Is N-iX better than Revelo?
N-iX (4.2/5) scores higher overall, but "better" depends on your use case. N-iX's strongest advantage: data-platform depth suits AI work that depends on messy enterprise data. Revelo's strongest advantage: very large pool across Latin America.
How do N-iX and Revelo differ in pricing?
N-iX 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: N-iX 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 N-iX and Revelo?
N-iX's primary differentiator is: data engineering and ML from a 2,000-person European employer with two decades of delivery history. Revelo's primary differentiator is: a very large Latin American pool with payroll and compliance included. They also differ in team size (2,000+ vs 400,000+ developer network (per company)), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Telecommunications vs Software & SaaS, AI research labs).
Verify all details directly with each company before making a decision.