Ardent MC
GeoAI
Too much data for analysts to find what they're looking for and connect the dots
Why it mattersThe DoD is drowning in data that mostly goes unevaluated due to its sheer volume. We aim to fix this by using a multi-agent AI framework that processes the data, finds relationships, anomalies, and insights and presents the information and data sources to the user to perform higher level analysis or decision making.
About
Problem
Only 2% of the Intelligence Community's data is assessed by analysts. There's too much data and there will never be enough analysts to comb through it, leaving threats unseen and unaddressed.
Solution
A multi-agent system processes all the data, builds a knowledge graph to connect the dots, and allows users to query for information in plain language.
Field Validation
Pre-field Technology Maturity (TRL): TRL 3. We have built a proof of concept of the solution.
Strategic Advantage
We are leveraging our 20 years of experience as a government contractor to speed through the standard barriers to entry and leverage an open-source tech stack to quickly add value to users.
Go-to-Market
We are pursuing SBIRs and BAAs to build and get user feedback, then leverage that towards a direct contract.
Dual-Use Potential
Any industry that needs to know where and when. Logistics for monitoring and assessing supply lines, energy for grid monitoring and maintenance, agriculture for crop management, etc.
Team
Richard Zareck II, CEO, 25 years tech entrepreneurship Mireille Estephan, CTO, ex-AWS, ex-Capital One tech leader Trevor Moore, director of technology, 10 years of R&D for defense
Primary User
Geospatial intel analyst.
Problem
Too much data for analysts to find what they're looking for and connect the dots