What happened after the Baltimore Bridge collapsed? How ships are moving in the Red Sea today? What does the Gaza humanitarian pier look like right now?
Especially in the world of government and defense, there are a lot of very important questions that can only be answered through robust Earth observation data. But historically, that data has been difficult to locate and interpret.
That is a problem that founder Jesse Kallman and the team behind Atlanta-based Danti have been working to solve through its AI-driven platform for location-based data. And following a recent injection of capital from a prominent Defense Tech investor, the team is ready to scale with new government customers.
BEHIND THE LATEST FUNDING ROUND
The Danti team just announced a new $5 million funding round. The round was led by San Francisco-based Shield Capital, with Atlanta-based Tech Square Ventures, Humba Ventures & Leo Polovets, SpaceVC, and Radius Capital Ventures also joining.
The funding will help the team grow its engineering and go-to-market teams. Kallman told Hypepotamus that bringing on Shield Capital was strategic, given the fund’s well-known presence in the defense tech industry.
“Harnessing data across multiple sources is a challenge for most industries,” said David Rothzeid, Vice President of Shield Capital, in a press statement. “Danti’s LLMs enable a new kind of search engine that has the potential to democratize the world’s massive amounts of data.”
Alongside the funding announcement, Danti is officially going live with several government customers. The United States Space Force, for example, has already operationalized the technology. Since we last spoke to Danti, the team has been on a hiring spree. Right now, Danti’s team is close to 20 people spread out across the country, nearly doubling its size over the last couple of months.
HOW DANTI GOES BEYOND SEARCH
Hypepotamus got a chance to see Danti’s platform in action this week. Beyond just a search platform, Danti brings static maps to life with real-time, contextual data. The Danti engine summarizes satellite images, government databases, social media content, public records, climate data, shipping route information, and news articles to create a real-time look at a specific location.
Danti’s AI makes it possible for customers to “conversationally interact with highly complex and distributed datasets,” he added. This ensures that analysts don’t have to spend excess time learning how to navigate complex software and can instead focus on understanding the context behind essential data.
The startup’s “cross modal response” option has many tangible applications. For example, it can help foreign governments during natural disasters or periods of civil unrest, Kallman added.
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Laptop photo in article provided by Danti. Featured photo from Unsplash