AI Startup That Raised $81 Million to Detect Wildfires Bamboozled by Clouds, Still Relies on Humans

It is time to prosper for emerging companies from artificial intelligence. Throughout the world, the adventure types of technology are rewarded with millions to force artificial intelligence of all kinds Tools, such as the power of independent weeds, the difficulty of Robo works on behalf, and even a toilet of artificial intelligence.

While the vast majority of the well-financing companies well tend to collapse like cards homes, VC spend on Slop Techno Slop-like lemon, which is “sound artificial intelligence agent to charge infrastructure”-is not slowing down. In the first three months of 2025 alone, startups of artificial intelligence accounted for $ 52 billion, or 41 percent of all global investment capital investments, including a record amount of $ 40 billion to Openai.

With Amnesty International, artificial intelligence investors are satisfied with spending like sailors, a single startup named Pano wanders in the dough.

Bano was founded in 2019 in San Francisco, calling himself “the leader in early detection of fires and intelligence.” Basically, it is a large language camera (LLM) aimed at discovering early forest fire warning marks.

Pano recently completed a series of financing B series of about $ 44 million, according to Wall Street JournalA comfortable amount to add it to 37 million dollars in the previous financing. Likewise, it has more than $ 100 million in government contracts in force with emergency agencies, public utilities, government governments and local governments throughout the United States, Canada and Australia.

The co -founder of the company, Sonia Kastner, said, said, Wsj It is directly inspired by the way weapons technology companies have partnership with the government in recent months. “We need to repeat this in space in the forests,” she said, noting that forest fires are no longer a devastating threat, but it is a profitable making.

On the surface, Pano’s efforts are worthy of praise. The startup aims to discover wild smoke during the day and heat the signatures during the night through wide paths of remote land, and alert the first respondents to early threats.

However, there are some problems with the solution of artificial intelligence from Pano. Like, for example, its struggle to determine forest fires from clouds, dust and burns that control it. Thanks to these wrong flags, humans remain an essential part of the chain, making Pano less similar to the negative AI tool and more like the CCTV for profit.

Pano’s technology’s technology partnership is a little bit, and it represents the public and private technology partnership in a long and interested trend in decisive public facilities in the private market-a dynamic that is affected by the supporters and its supporters. With forest fires, for example, what was once a wide range of organized Civil Civil Conservation Corps Towers are now a scattered chaos of startups that depend on profit and “drones as a service”.

What happens if Banu is tied, or decides to start charging for his decisive services? On the other hand, which is carrying Banu, is it necessary to find a violation of the privacy of remote or indigenous societies, or fails to do their work in the discovery of fires effectively?

With the Trump administration exploring more and more ways to use external sources of emergency services in the country for technology companies, Banu will definitely be strange Starting the artificial intelligence we hear. Let us just hope that humans will know behind the wheel the difference between Nimbus cloud and a smoke column.

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