Ardent MC

Overview

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 Access 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

Competitive Landscape Our biggest competition is Palantir with Project Maven. We are going beyond computer vision to aggregate information and insight from detections and classifications created by programs like them.

Primary User Geospatial intel analyst.

User-Critical Problem Analysts must provide information to decision-makers in a timely fashion. But with too much data to assess, they focus on tracking problems they already know about, instead of looking for new ones or at the big picture.