BairesDev vs nCube: full comparison for 2026
Quick verdict
BairesDev (4.3/5) edges ahead of nCube (3.9/5) overall. BairesDev is the better choice for U.S. companies needing several AI engineers on matching hours. nCube is the stronger option for companies building a long-term offshore AI team. The right choice depends on your project size, budget, and required tech stack.
BairesDev vs nCube: head-to-head summary
| Criterion | BairesDev | nCube |
|---|---|---|
| Founded | 2009 | 2008 |
| HQ | San Francisco, California, USA | London, UK |
| Team size | 4,000+ | 50–249 staff; large external talent pool (per company) |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Primary differentiator | A large salaried Latin American bench that works U.S. time zones | Builds and runs a client-branded R&D team, including HR and office setup |
| Pricing model | Monthly per-engineer rates for staff augmentation; dedicated teams; project pricing; rates on request | Monthly per-engineer team pricing; free vetting until candidates are chosen; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, PyTorch, TensorFlow |
| Industries served | Software & SaaS, Financial services, Healthcare & life sciences, Media, Retail & e-commerce | Software & SaaS, Media, Financial services, Manufacturing |
BairesDev vs nCube: overview
BairesDev
BairesDev was founded in Buenos Aires in 2009 and now lists its headquarters in San Francisco. The company says it employs more than 4,000 professionals working remotely from over 50 countries, most of them in Latin America. It offers staff augmentation, dedicated teams and full software outsourcing, with an AI and data science practice inside the wider engineering group. BairesDev hires engineers onto its own payroll, so clients deal with one vendor contract rather than individual freelancers.
nCube
nCube was founded in 2008 and is registered in London, with its core R&D office in Kyiv and development offices in Warsaw and São Paulo. It builds dedicated teams and nearshore R&D centers, handling hiring, payroll, legal and HR for the client. The company says it can show first AI candidate profiles within 48 hours and build a team in two to six weeks, drawing on a pool of more than 50,000 AI, ML and data specialists (per company website; independently unverifiable). Named AI clients include Veritone and Fetch.ai.
Services and capabilities: BairesDev vs nCube
| Capability | BairesDev | nCube |
|---|---|---|
| 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: BairesDev vs nCube
| Framework / platform | BairesDev | nCube |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Databricks | ✓ | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | ✓ |
Pricing comparison: BairesDev vs nCube
| Criterion | BairesDev | nCube |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Dedicated team, Full-time dedicated engineers |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: BairesDev vs nCube
| Dimension | BairesDev | nCube |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Software & SaaS, Financial services, Healthcare & life sciences | Software & SaaS, Media, Financial services |
| Best use cases | Adding three ML engineers to a U.S. product team on Eastern time, Staffing data engineering and model serving together for a new AI feature | Setting up a five-person ML team in Eastern Europe, Building a computer-vision team for a media analytics product |
| Typical project type | Full-time dedicated engineers | Dedicated team |
BairesDev vs nCube: pros and cons
| BairesDev | |
|---|---|
| + | Full working-day overlap with U.S. teams makes pairing and live reviews easy |
| + | Can fill AI, data and the surrounding web roles from one contract |
| + | Engineers are salaried employees, so replacement is the vendor's problem |
| - | AI is one practice among many, so screening depth for ML research roles varies |
| - | Pricing is quoted per engagement and is reported to sit above smaller nearshore rivals |
| - | Heavy marketing makes it hard to separate its AI claims from its general engineering pitch |
| nCube | |
|---|---|
| + | Handles the HR, payroll and legal side of a remote team |
| + | AI client list includes Veritone and Fetch.ai |
| + | Vetting is free until you pick candidates |
| - | Core team is small relative to the talent pool it advertises |
| - | Two to six weeks is slower than marketplace matching |
| - | Contract notice terms are not published |
Who should choose BairesDev?
A typical fit: adding three ML engineers to a U.S. product team on Eastern time.
A large salaried Latin American bench that works U.S. time zones. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Financial services, Healthcare & life sciences, Media, Retail & e-commerce.
Who should choose nCube?
A typical fit: setting up a five-person ML team in Eastern Europe.
Builds and runs a client-branded R&D team, including HR and office setup. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Media, Financial services, Manufacturing.
Decision matrix: BairesDev vs nCube
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Both; BairesDev rates higher overall |
| You want the supplier to own delivery as well as staffing | BairesDev |
| 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: BairesDev (Not published) vs nCube (Not published) |
| You need overlap with U.S. working hours | BairesDev |
| You need specialist depth in a specific vertical | BairesDev |
Use case fit: BairesDev vs nCube
| Use case | BairesDev fit | nCube fit | Winner |
|---|---|---|---|
| Adding three ML engineers to a U.S. product team on Eastern time | Strong | Limited | BairesDev |
| Staffing data engineering and model serving together for a new AI feature | Strong | Limited | BairesDev |
| Setting up a five-person ML team in Eastern Europe | Limited | Strong | nCube |
| Building a computer-vision team for a media analytics product | Limited | Strong | nCube |
Verdict: BairesDev vs nCube
BairesDev (4.3/5) is the stronger overall choice for most AI Staff Augmentation projects. A large salaried Latin American bench that works U.S. time zones.
nCube (3.9/5) is worth a look if you need building a computer-vision team for a media analytics product. If your situation matches that, nCube is a competitive option.
Related comparisons
BairesDev vs nCube FAQ
Is BairesDev better than nCube?
BairesDev (4.3/5) scores higher overall, but "better" depends on your use case. BairesDev's strongest advantage: full working-day overlap with U.S. teams makes pairing and live reviews easy. nCube's strongest advantage: handles the HR, payroll and legal side of a remote team.
How do BairesDev and nCube differ in pricing?
BairesDev uses monthly per-engineer rates for staff augmentation; dedicated teams; project pricing; rates on request pricing. nCube uses monthly per-engineer team pricing; free vetting until candidates are chosen; 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: BairesDev or nCube?
nCube 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 BairesDev and nCube?
BairesDev's primary differentiator is: a large salaried Latin American bench that works U.S. time zones. nCube's primary differentiator is: builds and runs a client-branded R&D team, including HR and office setup. They also differ in team size (4,000+ vs 50–249 staff; large external talent pool (per company)), minimum engagement (Not published vs Not published), and primary industries served (Software & SaaS, Financial services vs Software & SaaS, Media).
Verify all details directly with each company before making a decision.