Crisisense, founded by Big Data Engineer Annesha Chowdhury, is being built as a single early-warning brain for the U.S. power grid, water supply and emergency services, so the next major disaster does not become a national catastrophe.
Crisisense, an American-built AI platform currently in active development with pilot conversations underway across U.S. cities and utilities, is being designed to give the United States a single, intelligent early-warning system for its power grid, water supply, and emergency services, so that hurricanes, cyberattacks, and grid failures stop becoming national disasters.
The systems that keep the country running, the power grid, the water supply, hospitals, and emergency response, are managed in silos today. The power company watches power. The water utility watches water. FEMA watches storms. None of them talk to each other in real time. So when a hurricane, cyberattack, or heat wave hits, no one sees the full picture until people are already in the dark.
Crisisense is being built to connect those dots. Once complete, it will pull live data from weather satellites (NASA, NOAA), the power grid, river gauges (USGS), and city sensors into a single AI system that can answer one question better than anything on the market today: “What’s about to break, and who gets hurt if it does?” It will then tell operators exactly what to do, in plain English, minutes or hours before the failure happens.
Because it is being designed as sovereign, American-made AI, with data that never leaves U.S. soil or touches a foreign cloud, the platform will be safe to use on the most sensitive infrastructure in the country.
The U.S. electric grid is running out of room. More than 2,600 gigawatts of new energy projects are stuck in line waiting to connect, AI data centers are eating up massive amounts of electricity, and utilities are forced to use overly cautious settings that leave a lot of safe capacity unused. Crisisense is being designed to use live weather data and proven physics to safely squeeze 15 to 40 percent more electricity out of the power lines America already has, with no new towers and no new construction.
When Winter Storm Uri hit Texas in 2021, it caused a chain reaction. Power failed, which shut off water pumps, which disabled hospitals, which stranded ambulances. The total cost reached about $130 billion and hundreds of lives. Crisisense is being built to predict the chain reaction before it happens, giving FEMA, state agencies, and city emergency teams time to move generators, evacuate vulnerable people, and re-route ambulances before the storm hits.
America’s bridges, dams, and water systems were graded a C-minus by civil engineers, with a $2.59 trillion repair gap. The platform is being designed to use satellite radar to detect millimeter-level shifts in bridges and roads, catching the next potential collapse months before a crack is visible. It also includes a built-in detection layer for industrial control systems that catches hackers who try to spoof sensor readings, the same kind of attack used in Stuxnet.
A core part of the platform is the AI Copilot, an assistant being built for mayors, grid operators, emergency directors, and field officers. Instead of forcing an emergency director to read dashboards, they will ask a question in plain English, such as “Is Hospital B safe for the next six hours?” The Copilot then checks the live weather, runs a grid simulation, looks at flood zones, cross-references the hospital’s backup generator status, and responds with a short, clear recommendation.
“My mission is to make sure America’s power grid, water systems, and emergency response are ready for the next decade of climate, cyber, and capacity threats, using AI that is provably safe, sovereign, and American-made,” said Annesha Chowdhury, founder of Crisisense.
To learn more and get started, visit https://crisisense.org/
About Crisisense
Crisisense is a U.S.-based AI company building the first neuro-symbolic operating system for national critical infrastructure. By fusing sovereign large language models with rigorous physics engines, Crisisense is being designed to help utilities, cities, and federal agencies predict and prevent cascading failures across the power grid, water systems, and disaster response. The platform supports FERC Order 881, the White House National Security Memorandum 22 (NSM-22), and the Department of Energy’s grid modernization initiatives. Founded by Big Data Engineer and AI researcher Annesha Chowdhury, Crisisense is currently in active development, with pilot conversations underway with U.S. municipal and utility partners.
Learn more at https://crisisense.org/
Media Contact:
Company Name: Crisisense
Contact Person: Annesha Chowdhury, Founder, Crisisense
Website: crisisense.org
Country: USA
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