Badger is an agentic intelligence infrastructure that transforms fragmented public information into mission-ready analysis by anchoring collection, enrichment, and reporting to an organization's operational priorities. The platform continuously monitors sources across languages and regions, producing alerts and assessments that can be traced back to their originating signals. It is deployed as a dedicated, bounded instance tailored to the workflows of defense and security organizations.
Funding
Funding not disclosed
Founders
Product
Problem
The public information environment is enormous, fragmented, and loud, producing more noise than actionable intelligence. Duplication, source clutter, and undifferentiated alerts make everything appear equally urgent, delaying the detection of shifts in discourse, activity, or intent until after the moment to act has passed.
Solution
Badger provides an agentic intelligence infrastructure that organizes the discovery, collection, enrichment, and analysis of publicly available information around an organization's defined priorities. Users first set operational priorities, geographies, entities, intelligence requirements, and thresholds, which then drive continuous source discovery and monitoring across languages and regions. Agentic workflows ingest, enrich, contextualize, and corroborate signals while preserving source traceability and confidence. The resulting analysis is delivered through alerts, reports, automated jobs, and APIs, and feeds back into refining what to look for next—creating a connected loop from operational priority to operational action.
Target Audience
Primary customers are defense and security organizations, including mission teams responsible for strategic warning, operational planning, force protection, border awareness, and information environment monitoring. The platform serves organizations that need to protect populations, borders, critical infrastructure, or workforces.
Features
- Priority-driven source discovery that maps sources against mission geography rather than a fixed list
- PIR-driven prioritization where organizational requirements and thresholds determine relevance and escalation
- Regional and linguistic context that reads the languages and local jargon of the operating area
- Agentic workflows for enrichment, corroboration, and analysis with full source traceability
- Dedicated deployment options with controlled data access and integration patterns for sensitive environments
- Persistent source map, event history, and prior analysis that carry across team rotations
- Every alert, report, or dataset can be traced back through reasoning to originating signals and sources