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Marketplace Tech

How one company is using AI for improved wildfire risk mitigation

Marketplace Tech

Marketplace

Technology, News

4.51.3K Ratings

🗓️ 25 May 2026

⏱️ 8 minutes

🧾️ Download transcript

Summary

The wildfire risk mitigation company Technosylva helps utilities, insurers and government agencies predict where and when a fire could spark. It uses historical weather data to make those predictions and suggest changes to help prevent or mitigate a fire. For example, maybe moving a tree branch that's close to a power line so it doesn't fall and start a fire.


The company is nearly 30 years old, and Technosylva's chief executive, Bryan Spear, explains how the advent of AI has changed the work they do.

Transcript

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0:00.0

How AI is helping to predict wildfires.

0:05.0

From American Public Media, this is Marketplace Tech.

0:07.8

I'm Stephanie Hughes.

0:17.8

The wildfire risk mitigation company Technosilva helps utilities, insurers, and government agencies

0:24.5

predict where and when a fire could spark. It uses historical weather data to make those predictions

0:30.6

and suggest changes to help prevent or mitigate a fire. For example, maybe moving a tree branch

0:36.7

that's close to a power line so it doesn't

0:38.6

fall and start a blaze. The company is nearly 30 years old, and I asked Technosilva's chief

0:44.4

executive, Brian Spear, how the advent of AI has changed the work they do. The data that we're

0:51.1

training our models on is about 240 times greater resolution than the other

0:56.2

AI models that you hear about.

0:57.7

These are purpose built.

0:59.3

And the key difference is that we are, you know, we're building from the local scale up

1:03.5

versus the global scale down.

1:05.7

And that matters because the decisions our customers are making, they're inherently local

1:10.7

decisions around where to put resources,

1:13.1

where to evacuate people.

1:14.7

And what generative AI does,

1:16.5

it allows us to be able to have more speed

1:19.1

and the forecast that we're running,

1:21.3

to do forecasts much faster in minutes instead of hours,

1:25.4

update the risk more frequently,

...

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