Peregrine's 'Forward Deployed Engineer' model requires psychologically co-owning the customer's problem to drive outcomes. Success hinges on deep empathy and suspending ego to understand complex institutional context, a nuance Silicon Valley's 'move fast' culture often misses, where it can come across as ego.
Peregrine launched its police tech during the 'Defund the Police' movement. The founders succeeded by 'holding two truths': working daily with homicide investigators while friends protested police. This approach of directly engaging with complexity, rather than reacting to public polarization, was key to building a resilient business.
Peregrine inverts the typical data business model. Instead of aggregating customer data for network effects, their strategy is providing tools for clients to better use their own siloed data. This 'anti-network effect' approach, focusing on governance and sovereignty, is crucial for earning trust in public safety.
After dozens of rejections, Peregrine secured its first police client not by pitching a solution, but by researching and finding an internal champion known for innovation. They approached him with humility, asking to learn from his expertise rather than selling their product, which finally earned them the trust needed for access.
Peregrine applies long-horizon AI agents to the unglamorous but critical problem of data integration. These agents run for hours, analyzing customer databases and writing Python notebooks to automate 90% of the work. This internal tooling dramatically increases the efficiency and scalability of their deployment team.
Unlike companies viewing field teams as a cost center, Peregrine considers its 'Forward Deployed' strategists its core R&D engine. 'Hacky,' unscalable solutions they build on-site to solve immediate customer problems provide the best signal for what the core platform needs, creating a rapid, customer-driven prototyping loop.
On controversial technologies like facial recognition, Peregrine's policy is to avoid imposing a top-down moral stance. They believe it is wrong for a tech company to set a 'technological red line' for an industry, instead enabling each customer to enforce its own decisions based on local laws and community standards.
Peregrine's AI platform reveals its power when it uncovers insights previously impossible for humans to find. For example, it correlated a surge in water rescues not just to weather, but to an unprecedented three-day sequence of weather patterns creating dangerous rip currents—a non-obvious, actionable insight from integrated data.