Public Safety AI: How Peregrine Uses Agents to Solve Cold Cases
Training Data (Sequoia) · rss · 2026-09-01
Sequoia's podcast interviews Peregrine co-founders on building public safety AI by connecting existing city data without new sensors. Emphasizing data sovereignty and privacy-first access, they share real-world agent deployments: a cold case agent reproducing exonerations, identifying suspects from 300GB of cell records, and detecting threats to synagogues. The discussion covers agents writing integrations, anti-network-effect business models, and ethical decisions during the 'Defund the Police' movement.
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