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Turing

Turing provides frontier AI labs and Fortune 500 enterprises with high-quality data, evaluations, and reinforcement learning environments to improve model capabilities in software engineering, enterprise knowledge work, and STEM. The company closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data and more capable models.

Traction 10/10
San Francisco, United States · HQ
Founded 20187.4K50K+ followers
  • Artificial Intelligence
  • AI Agents
  • Software Only
  • Developer Tools
  • Enterprise Software
Updated 14 days ago

Funding

Raised to date

$159.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

+14
Funding rounds are not available yet.

Founders

1 founder

Jonathan Siddharth

San Francisco, United States

Founder & CEO

Profile summary: Revcontent • SVP Technology

Product

Problem

Frontier AI labs developing large language models require massive volumes of high-quality, human-generated data to improve model capabilities in coding, reasoning, and specialized domains. At the same time, enterprises struggle to deploy agentic AI systems in mission-critical workflows because models fail in real-world conditions, and these failures are not systematically captured and fed back into model improvement.

Solution

Turing operates on both sides of the AI economy, providing foundational model training services to frontier labs and end-to-end agentic AI system development to Fortune 500 enterprises. For frontier labs, Turing generates high-quality data, evaluations, and reinforcement learning environments that enhance model capabilities in software engineering, enterprise knowledge work, and STEM domains. For enterprises, Turing builds and deploys custom agentic AI systems inside mission-critical workflows across financial services, life sciences, healthcare, retail, automotive, and CPG. By closing the loop between deployment and research, Turing turns real-world system failures into data that compounds model capability, making frontier intelligence reliable and economically useful in production.

Target Audience

Primary customers are frontier AI labs and research organizations requiring high-quality training data and model evaluations, as well as Fortune 500 enterprises seeking to deploy agentic AI systems in mission-critical workflows.

Features

  • Largest and longest-running data provider for software-engineering model training
  • Off-the-shelf datasets for frontier labs seeking immediate training data
  • Custom reinforcement learning environments designed to improve model reasoning and task completion
  • End-to-end agentic AI system deployment for Fortune 500 enterprises in financial services, life sciences, healthcare, retail, automotive, and CPG
  • Proprietary human data generation for supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and Direct Preference Optimization (DPO)
  • Model evaluation services for performance, accuracy, and scalability assessment
  • Access to a global network of AI engineers, data scientists, and domain experts
This profile is AI-generated and may contain inaccuracies.