BairesDev vs Turing: full comparison for 2026
Last updated: July 2026
Quick verdict
BairesDev (3.7/5) edges ahead of Turing (3.7/5) overall. BairesDev is the better choice for companies needing rapid ML team scale-up using LATAM nearshore engineers in US time zones at competitive rates. Turing is the stronger option for teams that need to extend their ML engineering capacity with pre-vetted senior developers, without the overhead of a full delivery engagement. The right choice depends on your project size, budget, and required tech stack.
BairesDev vs Turing: head-to-head summary
| Criterion | BairesDev | Turing |
|---|---|---|
| Founded | 2009 | 2018 |
| HQ | San Francisco, CA, USA | Palo Alto, CA, USA |
| Team size | 4,000+ | 1,000+ |
| Rating | 3.7 / 5 | 3.7 / 5 |
| Best for | Companies needing rapid ML team scale-up using LATAM nearshore engineers in US time zones at competitive rates | Teams that need to extend their ML engineering capacity with pre-vetted senior developers, without the overhead of a full delivery engagement |
| Pricing model | Dedicated team, T&M, Staff augmentation | Staff augmentation |
| Min. engagement | $30K | $8K/month per developer |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | SaaS, fintech, healthcare, retail, media | SaaS, fintech, healthcare, retail, manufacturing |
BairesDev vs Turing: overview
BairesDev
BairesDev is a technology solutions company founded in 2009 and headquartered in San Francisco, California. The company employs 4,000+ software engineers with expertise in over 100 technologies and has completed 1,200+ projects for enterprise clients. BairesDev's ML practice delivers via nearshore Latin American engineers working in US time zones, with a standardized hiring process the company claims selects the top 1% of LATAM developers (per company website; independently unverifiable). The firm charges $50–$99 per hour.
Turing
Turing is an AI-powered software talent platform founded in 2018 and headquartered in Palo Alto, California. The company employs 1,000+ internal staff and provides access to 3M+ global ML developers, using AI-driven vetting to place what it claims are top 1% developers directly into client engineering teams (per company website; independently unverifiable). Turing charges $49–$150+ per hour depending on developer level. Unlike delivery firms, Turing provides individual developers — clients manage the ML programme themselves.
Services and capabilities: BairesDev vs Turing
| Capability | BairesDev | Turing |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| ML consulting | ✓ | ✓ |
| Deep learning | ✗ | ✓ |
| NLP | ✓ | ✗ |
| Computer vision | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Predictive analytics | ✗ | ✓ |
| Generative AI | ✓ | ✗ |
| Data engineering | ✓ | ✗ |
| Staff augmentation | ✓ | ✓ |
Tech stack comparison: BairesDev vs Turing
| Framework / platform | BairesDev | Turing |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| Scikit-Learn | ✓ | ✓ |
| LangChain | N/A | N/A |
| AWS SageMaker | ✓ | N/A |
| Azure ML | N/A | N/A |
| GCP Vertex AI | N/A | N/A |
| Kubernetes | ✓ | ✓ |
| Apache Spark | ✓ | N/A |
| MLflow | N/A | N/A |
Pricing comparison: BairesDev vs Turing
| Criterion | BairesDev | Turing |
|---|---|---|
| Minimum engagement | $30K | $8K/month per developer |
| Engagement models | Dedicated team, T&M, Staff augmentation | Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: BairesDev vs Turing
| Dimension | BairesDev | Turing |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | SaaS, fintech, healthcare | SaaS, fintech, healthcare |
| Best use cases | Rapid ML engineering team scale-up for time-sensitive enterprise AI programme delivery, Staff augmentation for internal data science teams needing extra ML engineering capacity | Extending an internal ML engineering team with a pre-vetted senior ML engineer, Staff augmentation for a specific deep learning or NLP specialization not in-house |
| Typical project type | Dedicated team | Staff augmentation |
BairesDev vs Turing: pros and cons
| BairesDev | |
|---|---|
| + | US time zone delivery from LATAM reduces the real-time collaboration gaps common with offshore Eastern European firms |
| + | Rapid team scale-up capability — 4,000+ engineer bench means fast ramp for urgent programmes |
| + | Competitive rates ($50–$99/hr) for the US time zone convenience offered |
| + | 1,200+ completed projects demonstrates execution consistency across verticals |
| + | Staff augmentation model suits organizations that need to extend internal ML teams quickly |
| - | Top 1% talent claim is per company website only — independently unverifiable selection rigour |
| - | Nearshore staffing model requires client-side ML programme management; BairesDev does not own outcomes |
| - | Less specialist ML boutique depth for research-adjacent or novel model architecture challenges |
| Turing | |
|---|---|
| + | Access to 3M+ global ML developer pool — highest candidate diversity of any firm in this list |
| + | AI-powered vetting reduces hiring time vs traditional recruitment processes |
| + | Competitive rates ($49–$150/hr) for individual senior ML developers working in client teams |
| + | Flexible engagement — can scale individual developers up or down monthly |
| + | Developers work directly in client engineering culture and tooling stack |
| - | Talent platform, not a delivery firm — clients must manage the ML programme themselves |
| - | Top 1% selection claim is per company website only — independently unverifiable |
| - | No project management, architecture, or delivery ownership — engagements require internal technical leadership |
Who should choose BairesDev?
BairesDev is the right choice for companies needing rapid ML team scale-up using LATAM nearshore engineers in US time zones at competitive rates.
4,000+ ML-capable LATAM engineers in US time zones with 1,200+ completed projects, enabling rapid scale-up for organizations that need to grow their ML capacity fast. Minimum engagement starts at $30K. Works best with clients in SaaS, fintech, healthcare, retail, media.
Who should choose Turing?
Turing is the right choice for teams that need to extend their ML engineering capacity with pre-vetted senior developers, without the overhead of a full delivery engagement.
AI-powered vetting platform screening 3M+ global ML developers to place the top 1% directly in client engineering teams at rates competitive with US in-house hiring. Minimum engagement starts at $8K/month per developer. Works best with clients in SaaS, fintech, healthcare, retail, manufacturing.
Decision matrix: BairesDev vs Turing
| 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 | BairesDev |
| Your budget is at the lower end | Turing |
| You need specialist depth in a specific vertical | BairesDev |
| You need staff augmentation or team extension | BairesDev |
| You need consulting before committing to a build | BairesDev |
Use case fit: BairesDev vs Turing
| Use case | BairesDev fit | Turing fit | Winner |
|---|---|---|---|
| Rapid ML engineering team scale-up for time-sensitive enterprise AI programme delivery | Strong | Strong | Both equally |
| Staff augmentation for internal data science teams needing extra ML engineering capacity | Strong | Strong | Both equally |
| Extending an internal ML engineering team with a pre-vetted senior ML engineer | Limited | Strong | Turing |
| Staff augmentation for a specific deep learning or NLP specialization not in-house | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Strong | Strong | Both equally |
Verdict: BairesDev vs Turing
BairesDev (3.7/5) is the stronger overall choice for most Machine Learning Development projects. 4,000+ ML-capable LATAM engineers in US time zones with 1,200+ completed projects, enabling rapid scale-up for organizations that need to grow their ML capacity fast. It is best for companies needing rapid ML team scale-up using LATAM nearshore engineers in US time zones at competitive rates.
Turing (3.7/5) is the better choice when teams that need to extend their ML engineering capacity with pre-vetted senior developers, without the overhead of a full delivery engagement. If your situation matches those criteria, Turing is a competitive option.
Related comparisons
BairesDev vs Turing FAQ
Is BairesDev better than Turing?
BairesDev (3.7/5) scores higher overall, but "better" depends on your use case. BairesDev is better for companies needing rapid ML team scale-up using LATAM nearshore engineers in US time zones at competitive rates. Turing is better for teams that need to extend their ML engineering capacity with pre-vetted senior developers, without the overhead of a full delivery engagement.
How do BairesDev and Turing differ in pricing?
BairesDev uses dedicated team, t&m, staff augmentation pricing with a minimum engagement of $30K. Turing uses staff augmentation pricing with a minimum engagement of $8K/month per developer. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: BairesDev or Turing?
BairesDev 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 Turing?
BairesDev's primary differentiator is: 4,000+ ml-capable latam engineers in us time zones with 1,200+ completed projects, enabling rapid scale-up for organizations that need to grow their ml capacity fast. Turing's primary differentiator is: ai-powered vetting platform screening 3m+ global ml developers to place the top 1% directly in client engineering teams at rates competitive with us in-house hiring. They also differ in team size (4,000+ vs 1,000+), minimum engagement ($30K vs $8K/month per developer), and primary industries served (SaaS, fintech vs SaaS, fintech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.