
Danti is a search engine which focuses on enabling novice and expert users alike to ask simple questions and discover the breadth of information being generated across the Earth today. We have experienced and observed how data silos impact users from commercial and federal users alike. Those impacts span across data sources such as satellites, drones, manned aircraft, terrestrial scanners, analytics firms, to even social media data, public sources and others. We aim to bring the data at any point on Earth to those looking to answer questions. Danti is backed by leading investors in the space, enterprise software, and defense markets and our team has decades of experience building some of the largest data systems within government and the enterprise market.

Danti is a search engine which focuses on enabling novice and expert users alike to ask simple questions and discover the breadth of information being generated across the Earth today. We have experienced and observed how data silos impact users from commercial and federal users alike. Those impacts span across data sources such as satellites, drones, manned aircraft, terrestrial scanners, analytics firms, to even social media data, public sources and others. We aim to bring the data at any point on Earth to those looking to answer questions. Danti is backed by leading investors in the space, enterprise software, and defense markets and our team has decades of experience building some of the largest data systems within government and the enterprise market.
Founded: 2023
Headquarters: Atlanta, GA
Product: AI-powered natural-language search/knowledge engine for multi-modal Earth and geospatial data
Recent funding: $5M Seed (May 2024)
Customer traction: Commercial and U.S. government (including Space Force/AFWERX) engagements
Search, synthesis, and analysis of multi-modal Earth and geospatial data for commercial and government customers.
2023
Technology, Information and Internet
$2.75M
$5M
Participants included Tech Square Ventures, Humba Ventures, Leo Polovets, Space.VC, Radius Capital
“Investors include specialized funds in space, enterprise software, and defense markets (e.g., Shield Capital, Tech Square Ventures, Space.VC, Radius Capital, Humba Ventures / Leo Polovets)”
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At Danti, we're on a mission to transform how people interact with the vast amounts of data being generated about our physical world. From satellites and drones to 3D scanners and advanced analytics, sensing technologies are creating unprecedented levels of information. Yet, much of this data remains out of reach for non-experts, trapped behind complex and fragmented systems.
We’re building an AI-powered knowledge engine designed to make this data accessible and usable for everyone. Our mission is to enable anyone, regardless of expertise, to search and understand their world of data instantly. The tools and technologies have matured, and now is the time to bring this capability to the broader market. If you're passionate about innovation and want to be part of shaping the future of how we understand and interact with the physical world, we’d love to have you on our team.
Our Mission
To enable anyone, regardless of expertise, to search and understand their world of data instantly.
Role Summary
As a NLP Machine Learning engineer, you will be responsible for developing NLP microservices that will enable the core offerings of semantic context-based search of Earth data. You will work collaboratively with the CTO, Head of ML, Head of Engineering, & Head of Product to deliver innovative, operational solutions that solve the fundamental need of translating a naturally phrased query into a machine query that can return context-bound and semantically relevant Earth data results. Your role in managing the lifecycle of our NLP capabilities will be a critical aspect of ensuring the success of the business.
What You’ll Do
What We Are Looking For
What You Get
This very exciting opportunity to join a new company at its inception that will reward you with a ton of experience, positive collaborative team oriented culture, and significant equity stake in the company. If you value learning, developing products that have real impact on our world, and working with a positive collaborative time along the way then this is the place for you!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.