BairesDev
San Francisco-based nearshore firm with 4,000+ ML-capable LATAM engineers working in US time zones.
Founded 2009 | San Francisco, CA, USA | 4,000+ employees | Last updated: July 2026
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What is 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.
BairesDev was founded in 2009 and is headquartered in San Francisco, CA, USA. The firm employs 4,000+ people and works primarily with clients in SaaS, fintech, healthcare, retail, media sectors. Its 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.
BairesDev tech stack and services
PythonTensorFlowPyTorchAWS SageMakerOpenAIGCPApache SparkDockerKubernetesScikit-Learn
| Service area | Details |
|---|---|
| Rapid ML engineering team scale-up for time-sensitive enterprise AI programme delivery | Available for SaaS, fintech, healthcare, retail, media clients |
| Staff augmentation for internal data science teams needing extra ML engineering capacity | Available for SaaS, fintech, healthcare, retail, media clients |
| Nearshore generative AI and LLM integration development in US time zones | Available for SaaS, fintech, healthcare, retail, media clients |
| Data engineering pipeline build for ML readiness by a cost-competitive extended team | Available for SaaS, fintech, healthcare, retail, media clients |
| NLP and text analytics development for SaaS or fintech platforms at competitive hourly rates | Available for SaaS, fintech, healthcare, retail, media clients |
BairesDev use cases
Short answer: BairesDev is best suited for companies needing rapid ML team scale-up using LATAM nearshore engineers in US time zones at competitive rates.
| Use case | Industries | Approach |
|---|---|---|
| Rapid ML engineering team scale-up for time-sensitive enterprise AI programme delivery | SaaS, fintech | Python, TensorFlow |
| Staff augmentation for internal data science teams needing extra ML engineering capacity | SaaS, fintech | Python, TensorFlow |
| Nearshore generative AI and LLM integration development in US time zones | SaaS, fintech | Python, TensorFlow |
| Data engineering pipeline build for ML readiness by a cost-competitive extended team | SaaS, fintech | Python, TensorFlow |
| NLP and text analytics development for SaaS or fintech platforms at competitive hourly rates | SaaS, fintech | Python, TensorFlow |
BairesDev pricing
Short answer: BairesDev uses a dedicated team, t&m, staff augmentation pricing approach. Minimum engagement starts at $30K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| T&M | Variable; depends on team size | Large programmes or team augmentation |
| Staff augmentation | Variable; depends on team size | Large programmes or team augmentation |
BairesDev does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
BairesDev pros and cons
| Advantages | Things to consider |
|---|---|
| +US time zone delivery from LATAM reduces the real-time collaboration gaps common with offshore Eastern European firms | -Top 1% talent claim is per company website only — independently unverifiable selection rigour |
| +Rapid team scale-up capability — 4,000+ engineer bench means fast ramp for urgent programmes | -Nearshore staffing model requires client-side ML programme management; BairesDev does not own outcomes |
| +Competitive rates ($50–$99/hr) for the US time zone convenience offered | -Less specialist ML boutique depth for research-adjacent or novel model architecture challenges |
| +1,200+ completed projects demonstrates execution consistency across verticals | |
| +Staff augmentation model suits organizations that need to extend internal ML teams quickly |
BairesDev vs alternatives
How BairesDev compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Teams needing a dedicated ML specialist boutique with... | ML-only focus with a dedicated specialist team backed by 25 years of Anadea software delivery infrastructure — unusually deep for a firm of this size | 4.8 | Full comparison |
| LeewayHertz | Enterprises seeking end-to-end AI/ML product delivery with a... | Product-centric AI delivery culture with verified Fortune 500 client references including ESPN, Siemens, and 3M — now operating within The Hackett Group | 4.6 | Full comparison |
| InData Labs | Mid-market organizations with specific, complex ML problems requiring... | Pure-play ML boutique with a measurably higher specialist-to-generalist ratio than typical service firms, confirmed by Clutch as a top AI service provider | 4.5 | Full comparison |
| HatchWorks AI | Companies seeking AI-native teams that embed generative AI... | Clutch #1 AI Services Company with a proprietary Generative Driven Development methodology claimed to reduce delivery time by 30–50% (per company website; independently unverifiable) | 4.4 | Full comparison |
| STX Next | Organizations that need ML models operationalized inside complete... | Europe's largest Python-specialist firm uniquely positioned to embed ML into production software without the integration friction that plagues pure-play ML boutiques | 4.3 | Full comparison |
| Tredence | Enterprise teams that need last-mile ML adoption —... | Industry-specific AI accelerators and a proven focus on last-mile ML adoption, closing the execution gap between data science output and real business value | 4.3 | Full comparison |
| Addepto | Mid-market companies in finance, energy, or retail needing... | End-to-end AI/ML delivery with particular sector depth in financial services and energy — industries that require compliance sophistication alongside technical capability | 4.2 | Full comparison |
| DataForest | Data-first companies needing robust data engineering infrastructure as... | Data engineering-first approach builds pipeline and data quality foundations before model development, addressing the root cause of most ML project failures | 4.2 | Full comparison |
| Forte Group | Organizations needing the engineering discipline of a larger... | Structured AI service lines with Tier 1 delivery rigor and specialist consultancy agility — serving organizations that need both without enterprise-tier pricing | 4.1 | Full comparison |
| Binariks | Healthcare, fintech, and insurance organizations needing ML built... | Compliance-first ML engineering for regulated industries — governance and audit trails are built in from the architecture stage, not retrofitted after launch | 4.1 | Full comparison |
| Softeq | Hardware manufacturers and industrial companies needing ML integrated... | Unique capability to combine hardware design expertise with ML engineering, deploying models at the edge where cloud-only ML firms cannot operate | 4.1 | Full comparison |
| Markovate | Retail, travel, and fitness platforms needing ML-powered recommendation... | 300+ delivered projects spanning recommendation systems, computer vision, and dynamic pricing, with deeper consumer-facing ML specialization than most comparably sized firms | 4.0 | Full comparison |
| ScienceSoft | Established enterprises needing ML consulting from a vendor... | 35+ years of enterprise delivery experience with a mature ML practice — providing compliance readiness, institutional knowledge, and process maturity rare in younger ML-focused competitors | 4.0 | Full comparison |
| Miquido | Product teams needing ML embedded inside polished digital... | Google-certified AI/ML capability paired with strong product design — clients receive ML that works inside well-crafted user experiences, not bolted-on algorithms | 4.0 | Full comparison |
| Simform | Industrial and enterprise companies needing cloud-native ML on... | AWS Premier Partner with 1,000+ engineers and documented depth in industrial IoT ML — connecting physical sensor streams to cloud ML inference at production scale | 3.9 | Full comparison |
| Intuz | Small and mid-size businesses needing custom AI/ML solutions... | 1,700+ project track record with a discovery-first engagement model making enterprise-grade ML accessible to SMBs through risk-reduced fixed-price POC phases | 3.9 | Full comparison |
| Scopic | Organizations needing fully custom ML engineering with 20+... | 20+ years as a distributed software company gives Scopic strong custom ML engineering discipline with confirmed production deployments across transportation and healthcare | 3.9 | Full comparison |
| N-iX | Enterprises needing large-scale ML engineering capacity in Eastern... | 2,400+ engineers with deep specialization in scalable AI architectures, able to field large dedicated teams for complex multi-year ML programmes at competitive Eastern European rates | 3.9 | Full comparison |
| Oxagile | Media, AdTech, and sports companies needing ML with... | 20+ years of video domain expertise uniquely positions Oxagile for ML use cases involving video understanding, visual search, and real-time video analytics | 3.8 | Full comparison |
| Innowise | Regulated industry organizations — banking, agriculture, healthcare —... | Cross-vertical ML delivery with documented case studies in banking automation, agricultural forecasting, and healthcare diagnostics — unusual breadth across regulated industries | 3.9 | Full comparison |
| Intellectsoft | Enterprises in fintech, healthcare, and construction needing ML... | Palo Alto HQ with 10 global delivery offices combining US-based account management with competitive Eastern European delivery rates for enterprise ML programmes | 3.8 | Full comparison |
| DataRoot Labs | Startups and scale-ups needing AI strategy alongside execution,... | One of Ukraine's most recognized ML consultancies — combining strategy-level AI advisory with hands-on engineering, a combination rare at this team size and price point | 3.8 | Full comparison |
| Itransition | Enterprises needing ML integrated into complex legacy software... | 25+ years of enterprise software delivery with five dedicated R&D labs, giving clients a mature delivery operation with advanced ML research support at competitive rates | 3.9 | Full comparison |
| 10Pearls | US-based enterprises and government contractors needing AI-native delivery... | AI-native engineering culture with four CRN Solution Provider 500 recognitions and 1,400+ experts spanning North America and LATAM for enterprise AI programmes | 3.8 | Full comparison |
| Coherent Solutions | Midwest enterprises and Microsoft-stack organizations needing ML capabilities... | Ranked #1 IT consulting firm in the Twin Cities five times in six years with 2,000+ engineers across 10 development centers, offering enterprise ML at competitive rates | 3.8 | Full comparison |
| Iflexion | US-based organizations needing ML integrated into complete custom... | 25 years of enterprise software delivery with 850+ professionals embedding ML into complete systems rather than delivering standalone models that require separate integration work | 3.7 | Full comparison |
| Appinventiv | Global businesses needing mobile-first ML delivery at scale... | 1,600+ specialists with a mobile-first AI approach and global footprint delivering 1,000+ digital assets with embedded ML — strong for consumer-facing AI product work | 3.8 | Full comparison |
| Avenga | Large enterprises in telco, banking, or automotive needing... | 6,000+ specialists across 44 delivery centers formed through PE-backed acquisitions, providing enterprise-scale AI delivery capacity — though cultural integration across legacy entities is ongoing | 3.7 | Full comparison |
| Turing | Teams that need to extend their ML engineering... | 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 | 3.7 | Full comparison |
| EPAM Systems | Large enterprises requiring ML at Fortune 500 scale... | 62,000+ engineers across 50+ countries delivering ML inside a full-service technology engineering operation — unmatched scale and compliance depth for global enterprise AI programmes | 3.9 | Full comparison |
BairesDev FAQ
What is 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.
How much does BairesDev charge?
BairesDev uses dedicated team, t&m, staff augmentation pricing. Minimum engagement starts at $30K. A discovery call is required to get project-specific quotes.
What tech stack does BairesDev use?
BairesDev works with Python, TensorFlow, PyTorch, AWS SageMaker, OpenAI, GCP, Apache Spark, Docker, Kubernetes, Scikit-Learn. Primary industries served include SaaS, fintech, healthcare, retail, media.
Is BairesDev right for enterprise?
Companies needing rapid ML team scale-up using LATAM nearshore engineers in US time zones at competitive rates. 4,000+ team size. Key consideration: Top 1% talent claim is per company website only — independently unverifiable selection rigour.
What are the best BairesDev alternatives?
The best alternatives to BairesDev depend on your use case. Top options are:
- Tensorway: ml-only focus with a dedicated specialist team backed by 25 years of anadea software delivery infrastructure — unusually deep for a firm of this size
- LeewayHertz: product-centric ai delivery culture with verified fortune 500 client references including espn, siemens, and 3m — now operating within the hackett group
- InData Labs: pure-play ml boutique with a measurably higher specialist-to-generalist ratio than typical service firms, confirmed by clutch as a top ai service provider
Compare BairesDev with other Machine Learning Development companies
BairesDev vs Tensorway BairesDev vs LeewayHertz BairesDev vs InData Labs BairesDev vs HatchWorks AI BairesDev vs STX Next BairesDev vs Tredence BairesDev vs Addepto BairesDev vs DataForest BairesDev vs Forte Group BairesDev vs Binariks BairesDev vs Softeq BairesDev vs Markovate BairesDev vs ScienceSoft BairesDev vs Miquido BairesDev vs Simform BairesDev vs Intuz BairesDev vs Scopic BairesDev vs N-iX BairesDev vs Oxagile BairesDev vs Innowise BairesDev vs Intellectsoft BairesDev vs DataRoot Labs BairesDev vs Itransition BairesDev vs 10Pearls BairesDev vs Coherent Solutions BairesDev vs Iflexion BairesDev vs Appinventiv BairesDev vs Avenga BairesDev vs Turing BairesDev vs EPAM Systems
Last reviewed: July 2026. Verify all details directly with BairesDev before making a decision.