Turing
Turing is a leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers by accelerating frontier research with high-quality data, advanced training pipelines, and top AI researchers, plus helping enterprises transform AI from proof of concept into proprietary intelligence.
At a Glance
- Frontier AI labs (OpenAI, Anthropic, Google, etc.)
- Fortune 500 companies
- High tech companies
- Banking & financial services
- +4 more
AI Tools by Turing
(1)Turing
AI Research Data for Frontier Labs
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Latest News
The Secret Turing Master Plan - Mission to accelerate superintelligence by deploying AI into real enterprise workflows
Turing Gears Up to Power Next Wave of AGI with $111 Million in Series E
Turing Annual Revenue Runrate Nearly Triples to $300M in Profitable Year as Company Sets Stage for AGI Advancements in 2025
Turing named to Fast Company's Next Big Things in Tech, 2025
Products & Services
Works with leading AI labs to advance frontier model capabilities. Creates evals, benchmarks, and post-training datasets (SFT, RLHF, RL environments) to advance model capabilities across modalities including coding, STEM, multimodality, robotics, and more.
Helps enterprises transform AI from proof of concept into proprietary intelligence. Turns frontier models into business results with reliable systems, tailored workflows, and fine-tuned intelligence.
Provides access to top 1-3% AI-native talent and engineering teams across domains and industries. Platform with 4M+ vetted AI and engineering talent profiles from 100+ countries.
Market Position
Turing differentiates itself as a research accelerator for frontier AI labs combined with enterprise AI implementation, rather than just a talent marketplace. Unlike competitors like Toptal and Upwork that focus solely on talent matching, Turing provides end-to-end AI advancement services including data generation, model training, evaluation, and enterprise deployment. The company's AI-powered vetting and matching system, combined with its large-scale platform of 4M+ vetted professionals, creates a unique position at the intersection of AI research and practical enterprise deployment.
Leadership
Founders
Jonathan Siddharth
CEO and Co-Founder of Turing.com. Before starting Turing, Jonathan was an Entrepreneur in Residence at Foundation Capital, following the successful sale of his previous AI company, Rover that focused on deep personalization of content recommendations. Jonathan received the best Masters Thesis Award in Computer Science at Stanford University where he specialized in Artificial Intelligence. Previously founded Rover while at Stanford.
Vijay Krishnan
Co-Founder & CTO of Turing.com. Before co-founding Turing, Vijay was an Entrepreneur in Residence at Foundation Capital following the successful sale of his last AI company, Rover, a business he co-founded while at Stanford. Before Rover, Vijay was a scientist at Yahoo's Data Mining and Research group. Master's degree in computer science from Stanford University, specializing in AI. Previously worked at IIT Bombay.
Executive Team
Jonathan Siddharth
Founder & CEO
Stanford CS Masters (Best Thesis Award in AI). Previously founded and sold Rover (AI company). Former EIR at Foundation Capital.
Vijay Krishnan
Co-Founder & CTO
Stanford CS Masters (AI specialization). Previously founded and sold Rover. Former scientist at Yahoo Data Mining and Research. IIT Bombay background.
Board of Directors
Founding Story
Turing was founded based upon the idea that talent is universal while opportunities are not. The founders discovered the power of using remote teams during their previous venture, Rover, which they started while attending Stanford. The cost and challenge of competing with Google, Facebook, and other giant Silicon Valley companies led them to source highly skilled remote developers from around the world. Their experience at Rover convinced them that remote-distributed teams are the future of work.
Business Model
Revenue Model
Turing operates on multiple revenue streams: 1) API usage and subscriptions for AGI advancement services (data generation, model evaluation, post-training), 2) Enterprise AI implementation and consulting services for building proprietary intelligence systems, 3) Talent marketplace fees for connecting vetted AI/engineering talent with companies (typical hourly rates $100-$200 for mid to senior-level engineers).
Pricing Tiers
40 hours per week for mid to senior-level engineers and AI talent
Enterprise pricing for LLM training data, evals, benchmarks, and post-training datasets
Strategy, build, and deployment of production-ready AI systems
Target Markets
- Frontier AI labs (OpenAI, Anthropic, Google, etc.)
- Fortune 500 companies
- High tech companies
- Banking & financial services
- Retail
- Healthcare
- LLM training and post-training data generation
- Model evaluation and benchmarking
- Advanced reasoning and coding capabilities
- Multimodal AI development
- Enterprise AI system deployment
- Remote engineering team building
- Google Gemini
- Anthropic
- Snowflake
- Character.ai