Ben Rudolph

When you initially deploy this type of AI to these organizations, you often just get what I'd call nice search. Maybe you were looking for an address, and now you don't have to look at a bunch of rows — you see everything that happened at that address, in a nicely formatted way.

So they started asking Peregrine, interrogating this question. And what they started to uncover — these weather patterns had happened before, but after a couple of iterations, and the agent doing some deep research, out came the pattern: these weather patterns had never occurred for three consecutive days. And those types of weather patterns create these sand channels, and those sand channels are the perfect conditions for rip currents. That is actionable for the agency — they can think deeply about that.

So much of what Peregrine does and is, on the technology side, is emergent. Peregrine has been providing domain expertise — we deeply understand and empathize with law enforcement, fire departments, EMTs — and then we provide technology to enable them to achieve their most important missions. That technology can change over time, and that's the great thing about it. Most of it is downstream of really high-quality data: you can build charts, and that chart is completely useless if it's not accessing the right, accurate information. So I believe the core strategy of Peregrine has remained very unchanged in this new age of AI. We're just applying a new technology to see how it impacts our customers.