Turing
Palo Alto AI-powered talent platform matching companies with pre-vetted top-1% ML developers from 3M+ global candidates.
Founded 2018 | Palo Alto, CA, USA | 1,000+ employees
custom-mlstaff-augml-consultingdeep-learningpredictive-analytics
What is 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.
Turing was founded in 2018 and is headquartered in Palo Alto, CA, USA. The firm employs 1,000+ people and works primarily with clients in SaaS, fintech, healthcare, retail, manufacturing sectors. Its 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.
Turing tech stack and services
PythonTensorFlowPyTorchScikit-LearnAWSGCPAzureDockerKubernetesSpark
| Service area |
|---|
| Custom ML Development |
| Staff Aug |
| ML Consulting |
| Deep Learning |
| Predictive Analytics |
Turing use cases
Short answer: Turing is best suited for teams needing pre-vetted senior ML developers, staff augmentation.
| Use case |
|---|
| 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 |
| Rapid individual contributor hire for a time-sensitive ML project phase |
| Cost-competitive ML developer placement for startups building internal AI capability |
| Temporary team extension for a production model deployment or optimization sprint |
Turing pricing
Short answer: Turing uses a staff augmentation pricing approach. Minimum engagement starts at $8K/month per developer.
| Engagement model | Typical range | Best for |
|---|---|---|
| Staff augmentation | Variable; depends on team size | Large programmes or team augmentation |
Turing does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Turing pros and cons
| Advantages | Things to consider |
|---|---|
| +Access to 3M+ global ML developer pool — highest candidate diversity of any firm in this list | -Talent platform, not a delivery firm — clients must manage the ML programme themselves |
| +AI-powered vetting reduces hiring time vs traditional recruitment processes | -Top 1% selection claim is per company website only — independently unverifiable |
| +Competitive rates ($49–$150/hr) for individual senior ML developers working in client teams | -No project management, architecture, or delivery ownership — engagements require internal technical leadership |
| +Flexible engagement — can scale individual developers up or down monthly | |
| +Developers work directly in client engineering culture and tooling stack |
Turing vs alternatives
How Turing compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Dedicated ML boutique, strategy through production MLOps. | ML-only focus with a dedicated specialist team backed by 25 years of the parent company software delivery infrastructure — unusually deep for a firm of this size | 4.8 | Full comparison |
| LeewayHertz | Enterprises, end-to-end AI delivery, Fortune 500 clients. | Product-centric AI delivery culture with verified Fortune 500 client references including ESPN, Siemens, and 3M — now operating within The Hackett Group | 4.0 | Full comparison |
| InData Labs | Mid-market orgs, complex ML, deep data-science expertise. | 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 wanting AI-native, generative-AI-embedded delivery. | 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 | Orgs needing ML operationalized in Python-native systems. | 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 | Enterprises, last-mile ML adoption, supply chain and retail. | 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 | Finance, energy, retail — bespoke ML with pipeline... | 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, robust engineering foundation for ML. | 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 | Orgs wanting Tier-1 rigor, specialist agility, roadmap to... | 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, insurance — compliance-first ML engineering. | 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 and industrial companies, edge ML on embedded... | 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, fitness — recommendation engines, 300+ projects. | 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, 35+ years, stable US 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, ML in polished products, Google-certified. | 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, cloud-native AWS ML at scale. | 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 | SMBs, fixed-price discovery, 1,700+ projects. | 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 | Orgs wanting custom ML, 20+ years, strong computer... | 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, large-scale Eastern-Europe ML engineering capacity. | 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, sports — video ML, 20+ years... | 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 | Banking, agriculture, healthcare — compliance-aware ML. | 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 | Fintech, healthcare, construction — ML in enterprise ecosystems. | 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, AI strategy plus execution, accessible. | 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, ML in legacy systems, 25+ years delivery. | 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 enterprises and government contractors, AI-native, LATAM 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 | Microsoft-stack enterprises, #1 Twin Cities IT firm. | 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 orgs, ML within custom enterprise software systems. | 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, mobile-first ML, five-continent delivery. | 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 | Telco, banking, automotive enterprises — 6,000+ engineer scale. | 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 |
| BairesDev | Companies wanting rapid ML scale-up, LATAM nearshore, US... | 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 | 3.7 | Full comparison |
| EPAM Systems | Large enterprises, Fortune 500 scale, global compliance. | 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 |
Turing FAQ
What is 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.
How much does Turing charge?
Turing uses staff augmentation pricing. Minimum engagement starts at $8K/month per developer. A discovery call is required to get project-specific quotes.
What tech stack does Turing use?
Turing works with Python, TensorFlow, PyTorch, Scikit-Learn, AWS, GCP, Azure, Docker, Kubernetes, Spark. Primary industries served include SaaS, fintech, healthcare, retail, manufacturing.
Is Turing right for enterprise?
Teams needing pre-vetted senior ML developers, staff augmentation. 1,000+ team size. Key consideration: Talent platform, not a delivery firm — clients must manage the ML programme themselves.
What are the best Turing alternatives?
The best alternatives to Turing depend on your use case. Top options are:
- Tensorway: ml-only focus with a dedicated specialist team backed by 25 years of the parent company 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 Turing with other Machine Learning Development companies
Turing vs Tensorway Turing vs LeewayHertz Turing vs InData Labs Turing vs HatchWorks AI Turing vs STX Next Turing vs Tredence Turing vs Addepto Turing vs DataForest Turing vs Forte Group Turing vs Binariks Turing vs Softeq Turing vs Markovate Turing vs ScienceSoft Turing vs Miquido Turing vs Simform Turing vs Intuz Turing vs Scopic Turing vs N-iX Turing vs Oxagile Turing vs Innowise Turing vs Intellectsoft Turing vs DataRoot Labs Turing vs Itransition Turing vs 10Pearls Turing vs Coherent Solutions Turing vs Iflexion Turing vs Appinventiv Turing vs Avenga Turing vs BairesDev Turing vs EPAM Systems