Danti, an AI company building a transformative AI Data Analyst who can answer questions about any place and time, announced it had raised $5 million in a seed round led by Shield Capital. Existing investors Tech Square Ventures, Humba Ventures, Leo Polovets, Space.VC, and Radius Capital also joined the round.
Danti has now deployed its technology to support government customers in their missions. Users can access data and analysis from both government and commercial sources, including satellite imagery, computer vision-based analytics, reports, news, social media, shipping data, global events, and active fires.
The company has also quickly gained traction with early customers, including the US Space Force, which uses the company’s products to enable Guardians and Airman to easily search, discover, and share data sets from across the planet. And Danti’s technology is supporting Space Systems Command’s TacSRT effort to ongoing events and operations worldwide.
KEY QUOTES:
“There is a massive data overload, distribution, and knowledge gap problem that companies and governments alike are facing. We founded Danti to help users make sense of that data. By leveraging AI and natural language processing, users of any skill level can now connect up large volumes of information, across systems, types and formats to get complete answers in a matter of seconds. We provide users with an AI Data Analyst at their fingertips.”
– Danti founder and CEO Jesse Kallman
“Harnessing data across multiple sources is a challenge for most industries. Danti’s LLMs enable a new kind of search engine that has the potential to democratize the world’s massive amounts of data. Jesse and Martice are solving a big problem.”
– David Rothzeid, Vice President of Shield Capital
“Our mission is to be the connective tissue between sensor data, deep analytic reporting, and the end consumers of both general and enterprise markets. Our approach connects our team’s long history in building and delivering enterprise data systems for commercial and U.S. federal customers and applies that subject matter expertise to developing an AI data analyst that can take questions and interpret many different data sources into context bound, semantically relevant answers.”
– Martice Nicks, Co-founder and CTO
