Quantiphi vs BairesDev: full comparison for 2026
Quick verdict
Quantiphi (4.3/5) edges ahead of BairesDev (3.9/5) overall. Quantiphi is the better choice for enterprises that need many AI roles filled at once by one AI-only supplier. BairesDev is the stronger option for U.S. companies that need ML engineers alongside a larger nearshore software team. The right choice depends on your project size, budget, and required tech stack.
Quantiphi vs BairesDev: head-to-head summary
| Criterion | Quantiphi | BairesDev |
|---|---|---|
| Founded | 2013 | 2009 |
| HQ | Marlborough, Massachusetts, USA | San Francisco, California, USA |
| Team size | 3,000–4,000+ | 4,000+ |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Primary differentiator | The biggest AI-only bench here, sold through a named staffing program with AWS | Thousands of Latin American engineers available in U.S. time zones |
| Pricing model | Elastic Staffing billed per specialist; consulting quoted separately; rates on request | Monthly per engineer or team; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | Healthcare, Financial services, Energy, Retail, Media | Technology, Financial services, Healthcare, Retail, Media |
Quantiphi vs BairesDev: overview
Quantiphi
Quantiphi, based in Marlborough, Massachusetts and founded in 2013, is the largest company on this page that works only on AI and data, with directory estimates between 3,000 and more than 4,000 people. Its Elastic Staffing program, built with AWS, places generative AI and ML specialists into client teams. That scale is the reason it ranks here: no other AI-only supplier can staff ML, MLOps, data and LLM roles in parallel. Google Cloud named it 2025 AI Partner of the Year for North America. The cost is attention, since staffing is one product inside a large consulting business.
BairesDev
BairesDev was founded in Buenos Aires in 2009 and is now headquartered in San Francisco, with several thousand engineers across Latin America. It sells staff augmentation, dedicated teams and project delivery, and its AI practice covers ML, data engineering and generative AI. Its size means it can add many engineers quickly in U.S. time zones. AI is one practice inside a general software company, though, and its marketing volume is larger than the specialist evidence behind its AI work.
Services and capabilities: Quantiphi vs BairesDev
| Capability | Quantiphi | BairesDev |
|---|---|---|
| ML engineers | ✓ | ✓ |
| LLM / GenAI engineers | ✓ | ✓ |
| AI agent developers | ✗ | ✗ |
| MLOps engineers | ✓ | ✗ |
| Computer vision engineers | ✓ | ✗ |
| NLP engineers | ✗ | ✗ |
| Data engineers | ✓ | ✓ |
| Engineer-led technical screen | ✗ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Trial before commitment | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✓ |
| Direct hire option | ✗ | ✗ |
Tech stack comparison: Quantiphi vs BairesDev
| Framework / platform | Quantiphi | BairesDev |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
Pricing comparison: Quantiphi vs BairesDev
| Criterion | Quantiphi | BairesDev |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Dedicated team, Project delivery | Dedicated engineer, Dedicated team, Project delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Quantiphi vs BairesDev
| Dimension | Quantiphi | BairesDev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Financial services, Energy | Technology, Financial services, Healthcare |
| Best use cases | Staffing eight GenAI specialists into an enterprise program, Adding Vertex AI or SageMaker engineers for a cloud ML migration | Adding ML engineers to a nearshore product team, Staffing data engineers for a cloud data warehouse |
| Typical project type | Dedicated engineer | Dedicated engineer |
Quantiphi vs BairesDev: pros and cons
| Quantiphi | |
|---|---|
| + | Can staff several AI specialties in parallel, which no other AI-only firm here can |
| + | Top partner tiers with Google Cloud and AWS help on cloud-specific ML roles |
| + | A named staffing product makes procurement simpler |
| - | Requests for one or two engineers compete with large consulting programs |
| - | Rates appear only after scoping |
| - | Headcount estimates vary widely between sources |
| BairesDev | |
|---|---|
| + | Can staff large mixed teams of ML and software engineers |
| + | Latin American engineers work U.S. hours |
| + | Mature contracting and onboarding process |
| - | AI is one practice among many, so specialist depth varies |
| - | Screening is run at volume and not described as engineer-led for ML roles |
| - | No public rates |
Who should choose Quantiphi?
A typical fit: staffing eight GenAI specialists into an enterprise program.
The biggest AI-only bench here, sold through a named staffing program with AWS. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Energy, Retail, Media.
Who should choose BairesDev?
A typical fit: adding ML engineers to a nearshore product team.
Thousands of Latin American engineers available in U.S. time zones. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Financial services, Healthcare, Retail, Media.
Decision matrix: Quantiphi vs BairesDev
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Neither documents an engineer-led screen; run your own technical interview |
| You need one specialist for a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You need several engineers working as one team | Both; Quantiphi rates higher overall |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| Your budget is at the lower end | Compare: Quantiphi (Not published) vs BairesDev (Not published) |
| Your team works U.S. hours | BairesDev |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
Use case fit: Quantiphi vs BairesDev
| Use case | Quantiphi fit | BairesDev fit | Winner |
|---|---|---|---|
| Staffing eight GenAI specialists into an enterprise program | Strong | Strong | Both equally |
| Adding Vertex AI or SageMaker engineers for a cloud ML migration | Strong | Strong | Both equally |
| Adding ML engineers to a nearshore product team | Strong | Strong | Both equally |
| Staffing data engineers for a cloud data warehouse | Strong | Strong | Both equally |
Verdict: Quantiphi vs BairesDev
Quantiphi (4.3/5) is the stronger overall choice for most AI Engineer Staffing projects. The biggest AI-only bench here, sold through a named staffing program with AWS.
BairesDev (3.9/5) is worth a look if you need staffing data engineers for a cloud data warehouse. If your situation matches that, BairesDev is a competitive option.
Related comparisons
Quantiphi vs BairesDev FAQ
Is Quantiphi better than BairesDev?
Quantiphi (4.3/5) scores higher overall, but "better" depends on your use case. Quantiphi's strongest advantage: can staff several AI specialties in parallel, which no other AI-only firm here can. BairesDev's strongest advantage: can staff large mixed teams of ML and software engineers.
How do Quantiphi and BairesDev differ in pricing?
Quantiphi uses elastic staffing billed per specialist; consulting quoted separately; rates on request pricing. BairesDev uses monthly per engineer or team; 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: Quantiphi or BairesDev?
Quantiphi 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 Quantiphi and BairesDev?
Quantiphi's primary differentiator is: the biggest AI-only bench here, sold through a named staffing program with AWS. BairesDev's primary differentiator is: thousands of Latin American engineers available in U.S. time zones. They also differ in team size (3,000–4,000+ vs 4,000+), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Financial services vs Technology, Financial services).
Verify all details directly with each company before making a decision.