“Pano AI is a development stage firm primarily based in San Francisco, and we’re a workforce that is made up of each technologists in addition to former firefighting professionals. We got here collectively as a result of we noticed a chance to leverage modern-day expertise to arm firefighters with higher instruments to fight the rising wildfire menace.
Being a San Francisco-based firm, we have all skilled the devastation of wildfires firsthand. We have lived below clouds of smoke for weeks at a time. We have had pals and family members who’ve misplaced their houses and have been evacuated from faculties and hospitals. Tens of hundreds of individuals die annually from wildfire smoke. Wildfire smoke emits $1.7 billion tons of CO2 emissions annually. This downside is rising partly because of local weather change.
The excellent news is that there are methods that we are able to roll again this wildfire pattern even earlier than humanity has solved local weather change.
That is what we got down to do with Pano. With our first product, we’re targeted on the early section of a fireplace: the time between ignition and, say, the primary hour of a fireplace, when a hearth is 5-10 acres. That is a important inflection level of the fireplace.
The normal method is just too gradual in immediately’s situations. The normal method includes detection by a bystander who occurs to see the fireplace and calls 911 after which the bystander’s name must be confirmed by a single hearth engine who drives round and tries to find out the placement & severity of the fireplace. Most of those calls are false alarms and quite a lot of time and power is wasted on this effort. Then the only hearth engine calls again to dispatch to ask for help, often from a neighborhood metropolis response, which was once ample however is now not ample in immediately’s situations.
Earlier than Pano was based, there was a need from the firefighting neighborhood for modern-day distant sensing expertise to hurry up and streamline each step on this course of.
