Danti’s AI-Powered Knowledge Engine is now available to US Government Customers in ICMP
November 12, 2025 – Atlanta – Danti, the company behind the AI-powered knowledge engine that helps users rapidly search, synthesize, and act on complex operational data tied to physical locations on Earth today announced that it listed the Danti Knowledge Engine in the AWS Marketplace for the U.S. Intelligence Community (ICMP). ICMP is a curated digital catalog from Amazon Web Services (AWS) that makes it easy to discover, purchase, and deploy software packages and applications from vendors that specialize in supporting government customers.
Danti’s capabilities facilitate near-real time, Multi-INT fusion for understanding complex scenarios and monitoring them over time. By incorporating the latest AI tools and decades of experience with multi-modal data, Danti delivers the most relevant information, reducing the time and expertise typically required to synthesize large volumes of disparate data.
“The federal government is drowning in data generated every day,” said Jesse Kallman, Danti Founder and CEO. “We built Danti to give anyone, regardless of technical expertise, the ability to search all of their data sources as easily as they search the internet. From weather data and satellite imagery to news, social media, and classified feeds, Danti rapidly summarizes and contextualizes information so users can instantly understand what’s happening anywhere on Earth. We’re proud to make Danti available in ICMP, giving more federal users immediate access to a mission-ready capability that puts the world’s sensors and data at their fingertips.”
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About Danti
Danti is the first AI-powered knowledge engine for the data being generated across our planet. Danti enables expert and non-expert users to rapidly access and understand large volumes of data simply by posing questions about global points of interest, historical and current events, and general topics. This helps to streamline the information gathering process, allowing any user to quickly analyze and interpret multi-modal data, regardless of their skill, where the data is located or its type.
