Precursory

Precursory is performance insurance for the autonomy economy, providing a risk intelligence and risk-transfer platform specifically designed for AI agents operating in freight operations. The company was founded to solve a critical gap in the autonomous AI market: when AI agents underperform while working exactly as designed, there is no negligence, no liability, and no covered loss - causing enterprise deals to stall at the pilot stage. Precursory addresses this by stress-testing AI agents, insuring their performance warranties in customer contracts, and paying out claims when agents miss their warranted performance targets. The company ingests operational data from across the logistics supply chain - including TMS records, telematics feeds, rate confirmations, and dispatch systems - to build models that accurately price and transfer risk. Starting with AI agents in US freight, Precursory is built for everything autonomy does next. Their coverage lifecycle involves testing agents before coverage begins, monitoring them during operation against the customer's TMS and telematics data, and verifying claims against the customer's own operational data rather than the vendor's account of what happened.

The company was founded by Uber and Amazon veteran Mohan Krishnamurthy, who brings deep experience building optimization and incentive systems, and Austin Kinney, a former technology leader for a freight brokerage with expertise in adversarial models and red-teaming. Together, they built Precursory's stress-test suite - the infrastructure that probes an agent for failure modes before the company is willing to insure it. Precursory has raised $2.5M in funding and operates from San Francisco, California.