Turing
Training data, RL environments and evaluations for AI labs, plus agentic AI for enterprises
Skills & Services
About
Turing works on both sides of applied AI. For frontier AI labs, it supplies custom and ready-made datasets, reinforcement learning environments, model evaluations and benchmarks. This work covers software engineering, reasoning, enterprise knowledge work and STEM subjects, and draws on a large remote network of engineers and domain experts who rate and correct model outputs.
For large companies, Turing designs and builds agentic AI systems from start to finish. Its published projects include a bilingual Arabic and English AI assistant for a government agency that uses retrieval-augmented generation and natural language queries over databases, enterprise search built on Vespa and Google Vertex AI, and a lending automation platform with a rules engine for a private real estate lender. Other case studies describe coding evaluation suites and reasoning datasets made for model developers.
The company was founded by Jonathan Siddharth and Vijay Krishnan and is based in San Francisco. Companies it shows as clients or partners include Anthropic, Google Gemini, Nvidia and Snowflake. Sectors it names include technology, finance, healthcare and law.
Portfolio
Government agency: bilingual RAG assistant for internal knowledge
Built a secure Arabic and English AI assistant with RAG, agent workflows and database querying to cut slow manual support.
Private lender: lending automation platform with rules engine
Replaced manual underwriting with a microservices platform, a configurable rules engine and credit data integrations.
Tech company: six evaluation suites for LLM coding accuracy
Ran structured evaluations of a custom LLM's coding output to show its weak points and guide refinement.
Details
- Team Size
- 200+
- Founded
- 2018