Turing
Turing is an AGI infrastructure company that supplies frontier AI labs with post-training data, RL environments, and benchmarks (SWE-bench++, VLM-bench), and deploys production AI systems and AI-native talent pods into Fortune 500 enterprises across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG.
- Company typePrivate
- Founded2018
- HeadquartersPalo Alto, United States
- Headcount1,001–5,000
- GTM typeB2B
- OfferingSoftware
What Turing does
Turing is an AGI infrastructure company founded in 2018 by Jonathan Siddharth and headquartered at 548 Market Street, San Francisco. It operates a dual-platform business: Turing AGI Advancement supplies frontier AI labs with post-training data, RL environments, and proprietary benchmarks (SWE-bench++ with 7,000+ real software engineering tasks, VLM-bench with 700+ vision-language tasks, Code Review Bench, and Verilog/RTL agent benchmarks for NVIDIA); Turing Intelligence deploys production AI systems, AI-native talent pods, and AI strategy services into Fortune 500 enterprises across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG. The company serves named frontier AI customers including OpenAI, Google DeepMind, Anthropic, NVIDIA, Snowflake, Character.ai, and Augment Code.
The underlying technology stack centers on large-scale RL environments for training multimodal agents in coding, STEM reasoning, and domain-specific knowledge work, the ALAN human-AI orchestration platform, and a Five-Step Post-Training Framework spanning goal alignment, rubric calibration, structured task generation, fine-tuning, and evaluator-validator QA. A signature architectural concept is the closed "data-and-deployment loop": training data generated for frontier labs informs enterprise deployment, and gaps observed in enterprise deployment feed back into new training data. AI modalities covered include text, code, image, video, audio, structured data, and multimodal combinations. The company also operates a 4M+ talent network across 100+ countries with a 97% engagement success rate and ~4 day average time-to-start.
Turing earns revenue across three streams: subscription-style licensing of training data, RL environments, and benchmarks to AI labs; managed enterprise AI deployment services; and professional services revenue from a self-serve talent marketplace. Pricing is quote-based and not publicly disclosed. Reported financials include $300M ARR in 2024 and a $2.2B post-money valuation achieved in October 2025 following a $111M funding round led by Paradigm with Google Ventures participation. Compliance posture includes SOC 2 Type II, GDPR, and CCPA.
Turing firmographics
Firmographics- Name
- Turing
- Legal name
- Turing Enterprises, Inc.
- Website
- https://turing.com
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 1,001–5,000 employees
- Short description
- Turing is an AGI infrastructure company that supplies frontier AI labs with post-training data, RL environments, and benchmarks (SWE-bench++, VLM-bench), and deploys production AI systems and AI-native talent pods into Fortune 500 enterprises across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG.
- Ownership category
- akta.pro rank
Turing industry classification
Industry- Product category
- AI Infrastructure Software
- NAICS
- Computer Training (611420)
- SIC
- Services-Computer Programming Services (7371)
- akta.pro primary industry
- Enterprise Foundation Model Integration & APIs (Connectors, Governance, Deployment) (HDAAACAO)
- akta.pro secondary industries
- AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL)
Keywords
Where Turing is headquartered
LocationHeadquarters
- HQ city
- Palo Alto
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Turing business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales
Revenue model
- AI Training Data and Benchmark Licensing: Revenue from licensing curated datasets, benchmarks (SWE-bench++, VLM-bench), and RL environments to frontier AI labs including OpenAI, Google, Anthropic, and NVIDIA for post-training model improvement.
- Enterprise AI Deployment Services: Revenue from deploying production-ready AI systems, fine-tuned agents, and AI-native talent pods into Fortune 500 enterprises across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG sectors.
- Talent Marketplace: Placement of vetted AI-native software engineers and AI talent into startups and enterprises, with 4M+ talent profiles across 100+ countries and ~4 day average time-to-start.
Go-to-market motion1 record
Distribution channels3 records
Marketing channels4 records
Turing product offering
Product offeringCore offering
Turing operates a dual-platform AGI infrastructure business: Turing AGI Advancement provides curated training datasets, reinforcement learning environments, and research-grade benchmarks (SWE-bench++, VLM-Bench, Code Review Bench) used by frontier AI labs for post-training models. Turing Intelligence deploys production-ready AI systems, AI-native talent pods, and AI strategy services into Fortune 500 enterprises across financial services, healthcare, retail, and other verticals.
Product overview
Turing is an AGI infrastructure company offering a dual-platform architecture: Turing AGI Advancement for AI model training and improvement (Data Packs, RL Environments, Benchmarks including SWE-bench++ and VLM-Bench), and Turing Intelligence for enterprise AI deployment (AI Systems, AI Talent, AI Strategy). The company operates ALAN, a human-AI orchestration platform, and provides specialized training data services across coding, STEM, multimodal, domain-specific (finance, legal, medical, economics), and robotics domains. Turing collaborates with frontier AI labs (Gemini, Anthropic, NVIDIA, Snowflake, Character.ai) to close the loop between model training and real-world deployment, while building agentic solutions for Fortune 500 enterprises across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG sectors.
Differentiator
Problem solved
Functional benefit
Brands
- ALAN: Human-AI orchestration platform that connects evaluators, AI reviewers, and synthetic data for rubric-aligned QA, drift detection, and consistent evaluator-validator review.
- SWE-bench++
- Turing AGI Advancement
- Turing Intelligence
Products and services
- Turing AGI Advancement Research accelerator platform offering post-training improvement via curated Data Packs, structured RL Environments, and research-grade Benchmarks. Used by frontier AI labs including OpenAI, Google DeepMind, Anthropic, and NVIDIA to advance model capabilities in coding, STEM reasoning, multimodal reasoning, and domain-specific knowledge work.
- Turing Intelligence Enterprise AI deployment platform combining AI strategy alignment, production-ready AI systems deployment, and AI-native talent integration. Enables Fortune 500 organizations across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG to translate frontier model capabilities into reliable, KPI-aligned business outcomes.
- SWE-bench++ Expert-verified coding agent benchmark covering 7,000+ real-world software engineering tasks drawn from GitHub. Uses containerized environments and verified trajectories to evaluate coding agents on real programming tasks. Licensed to AI labs and used as a standard benchmark for coding model improvement.
- VLM-Bench Vision-language reasoning benchmark covering more than 700 tasks across STEM, logical inference, spatial reasoning, and real-world multimodal problem-solving. Used by AI labs to evaluate and improve multimodal AI model capabilities.
- Code Review Bench Benchmark for evaluating AI code review quality and reasoning capabilities on real-world software engineering tasks. Used by AI labs and enterprises to measure code review performance of AI models.
- AI Training Data Services Professional trainer marketplace supplying expert contractors (lawyers, doctors, financial consultants, engineers) who produce high-value training data, model evaluations, and RL environments for frontier AI labs including OpenAI, Anthropic, and Google.
- Hire AI Talent Enterprise talent deployment service providing access to AI-native software engineers and AI talent pods. Operates on Turing's curated network of 4M+ vetted profiles across 100+ countries with a 97% engagement success rate and approximately 4-day average time-to-start.
Quantifiable outcome
- 97% engagement success rate for talent matching across 100+ countries
- +2 more outcomes
Companies that use Turing
Customer profileNamed customers9 records
Segments3 records
Ideal customer profiles3 records
Turing technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability13 records
Feature7 records
Turing partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered flagship, core and secondary.
- HUMAINflagshipHUMAIN (Saudi Arabia's PIF-backed AI company) and Turing formed a strategic partnership to build the world's first enterprise AI Agent Marketplace on the HUMAIN ONE platform, announced at the FII PRIORITY Miami summit. The platform enables organizations to discover, deploy, and scale AI agents across HR, finance, legal, operations, and procurement. Turing serves as the first US-based customer of HUMAIN ONE, combining HUMAIN's AI infrastructure with Turing's model evaluation, fine-tuning, and reasoning expertise. This positions Saudi Arabia as a global exporter of advanced AI technology in line with Vision 2030.
- Anthropic (Claude Partner Network)coreTuring is an early partner in Anthropic's Claude Partner Network, backed by a $100M fund to support consulting firms and integrators deploying Claude AI in enterprise environments. Partners receive training, certifications, technical support, and joint sales assistance. This positions Turing as a certified Claude deployment partner for enterprise clients.
- Google DeepMind (Gemini)coreTuring provides Google DeepMind with post-training data, RL environments, and evaluation benchmarks for Gemini model development across coding, STEM, and multimodal domains. Google DeepMind is listed as a key partner and customer on Turing's official website.
- AnthropiccoreTuring partners with Anthropic to provide Claude model training data, coding benchmarks, and RL environments. Anthropic is listed as a key partner and customer on Turing's official website, with Turing contributing to improvements in Claude's code understanding and tool use.
- NVIDIAcoreTuring collaborated with NVIDIA to benchmark RTL agents using 1,500+ real-world Verilog tasks for NVIDIA's CVDP (Compound VLSI Design Platform). NVIDIA is listed as a key partner on Turing's website, reflecting deep technical collaboration on hardware-aware AI training.
- SnowflakesecondaryTuring and Snowflake have a data infrastructure partnership where Turing leverages Snowflake's data platform capabilities for AI training data management. Snowflake is listed as a Turing partner on the official website.
- Character.aisecondaryCharacter.ai partners with Turing for AI training data and evaluation services. Listed as a customer and partner on Turing's website.
- Augment CodesecondaryAugment Code works with Turing on code training data and benchmark services. Listed as a partner on Turing's official website.
- AWS (Amazon Web Services)secondaryAWS is listed as a technology partner on Turing's website, indicating integration with AWS cloud infrastructure for AI training and deployment workloads.
- Google Cloud Platform (GCP)secondaryGoogle Cloud Platform is listed as a technology partner on Turing's website, indicating cloud infrastructure integration for AI workloads and data processing.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
Turing competitors and assessment
Company assessmentDirect peers
- Scale AI: Scale AI is the largest pure-play provider of training data, RLHF, and evaluation services for foundation models, with named relationships across OpenAI, Meta, Microsoft, and the US government. Turing competes head-to-head with Scale on RL environments, coding benchmarks, and post-training data for frontier labs.
- Surge AI: Surge AI is a venture-backed AI data labeling and RLHF provider specializing in expert human raters and complex reasoning tasks for frontier-model labs. It competes directly with Turing on the AGI Advancement side, particularly for high-quality post-training datasets in coding, STEM, and reasoning.
- Mercor: Mercor operates an AI-native expert talent marketplace that places domain professionals (lawyers, doctors, engineers) as AI trainers and contractors. It is the closest direct competitor to Turing's professional AI trainer business for OpenAI, Anthropic, and Google.
- Invisible Technologies: Invisible Technologies provides AI training data operations and expert human-in-the-loop workforces for foundation model providers and enterprises. It overlaps with Turing on enterprise AI deployment, RL data generation, and AI talent operations.
Emerging players
- Labelbox: Labelbox is a data labeling and evaluation platform for ML teams, offering a catalog, workflow tooling, and model evaluation. It is adjacent to Turing's Data Packs and ALAN platform, with partial overlap in RLHF and eval workflows.
- Snorkel AI: Snorkel AI provides programmatic data labeling and weak supervision technology for enterprise AI/ML teams. It is comparable to Turing as a data-centric AI platform targeting enterprise model improvement, though focused more on tooling than on human-in-the-loop services.
- Tribe AI: Tribe AI is an AI-native consulting and talent platform that provides vetted AI engineers and strategists to enterprises, and is also a Claude Partner Network member. It is comparable to Turing Intelligence's talent-pod and AI strategy offerings for mid-market and Fortune 500 clients.
Broad incumbents
- Appen: Appen is a publicly listed incumbent in the training-data and annotation market with a global crowd workforce, serving large tech and government customers. It is a broad incumbent peer to Turing in AI data services, though with a less frontier-AI focus and lower-quality positioning.
- Accenture: Accenture is the largest global systems integrator with a multi-billion-dollar generative-AI practice and co-listed partner status in Anthropic's Claude Partner Network. It competes with Turing Intelligence for Fortune 500 AI deployment, strategy, and change-management mandates.
- Cognizant: Cognizant is a major IT services and consulting firm that has built large AI and data engineering practices. It is comparable to Turing Intelligence as an enterprise AI deployment and integration competitor, especially in financial services and healthcare.
Market position
Strengths4 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Turing social profiles
Digital presenceTuring compliance and trust
Trust signalCompliance3 records
Turing financial estimates
Financial estimateRevenue estimate
Valuation estimate
Turing leadership team
Management profileNumber of profiles
Profiles9 records
Turing funding detail
Funding detailFunding overview
Funding rounds12 records
Investors44 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Turing M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Turing
What does Turing do?
Turing operates a dual-platform AGI infrastructure business: Turing AGI Advancement provides curated training datasets, reinforcement learning environments, and research-grade benchmarks (SWE-bench++, VLM-Bench, Code Review Bench) used by frontier AI labs for post-training models. Turing Intelligence deploys production-ready AI systems, AI-native talent pods, and AI strategy services into Fortune 500 enterprises across financial services, healthcare, retail, and other verticals.
Is Turing a public or private company?
Turing is a private company. It is classified as venture growth investor backed and is currently operating.
When was Turing founded?
Turing was founded in 2018. It employs 1,001 to 5,000 people.
Where is Turing based?
Turing is headquartered in Palo Alto, United States, in the North America region.
How does Turing make money?
Three revenue lines are on record. AI Training Data and Benchmark Licensing is the primary driver. The others are enterprise AI Deployment Services and talent Marketplace.
Who are Turing's main competitors?
Direct peers on record are Scale AI, Surge AI, Mercor and Invisible Technologies. Emerging players are Labelbox, Snorkel AI and Tribe AI. Broad incumbents are Appen, Accenture and Cognizant.
Does Turing have an API?
No public API is recorded for Turing.
What industry is Turing in?
Turing's product category is AI Infrastructure Software. Its primary akta.pro industry code is HDAAACAO, Enterprise Foundation Model Integration & APIs (Connectors, Governance, Deployment), with a secondary code of HDAEANAF, AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety). Its NAICS code is 611420 and its SIC code is 7371.