World model & reasoning
Janus
Builds an evolving operational picture from observations, entities, relationships and context while preserving where the information came from and keeping uncertainty visible.
Explore Janus
Recon Outfitters builds technology that turns fragmented signals, sensor data and operational information into a clearer understanding of what is happening, where it is happening and what matters.
An illustrative coastal city beneath a storm at sunset. Fragmented signals and sensor information on the left flow through a central fusion zone into a coherent view of the harbor on the right. The scene includes weather radar, aircraft, vessels, infrastructure, water conditions and response activity. These are conceptual observations, not live data, a software screenshot or a customer deployment.
I watched family lose nearly everything they owned to flooding. Power was out for weeks. Other communities were hit even harder, and people died. What stayed with me was how little I could do to help, and how little I understood at the time about the technology that already existed to see, measure and understand what was happening.
That sent me looking at what might help. I started with sensors, imaging, computer vision and technologies like SWIR. I also sat down with a state Emergency Interoperability Coordinator to talk about what responders and agencies actually need during events like these.
Those conversations helped make something clear: better sensors alone were not enough. The larger problem was getting information from different sensors, feeds and systems into an interoperable operating picture that people could actually use.
The idea kept evolving. What began as hardware and vision concepts grew into software for bringing fragmented information together, preserving where it came from and building a clearer picture of what is happening. Much later, that work became Janus and the broader Recon technology portfolio.
Recon Outfitters grew from that experience and a simple belief: serious operational awareness should not require enterprise-scale resources to be useful.
What that became
The problem was bigger than any one sensor. Recon grew into technologies for acquiring information, moving it between systems, building context, visualizing the result and understanding the RF environment. They can work together where useful, without requiring the entire stack.
Explore the portfolioWorld model & reasoning
Builds an evolving operational picture from observations, entities, relationships and context while preserving where the information came from and keeping uncertainty visible.
Explore JanusAcquisition, normalization & provenance
Brings information in from different sources, preserves its identity and provenance, and translates it into normalized evidence that other systems can use.
Explore WayfinderTransport & governed interchange
Moves validated information between systems through durable, governed exchange with journaling, retry, quarantine and replay.
Explore Charon3D visualization & interaction
Turns operational information into an interactive 3D environment where people can explore the world, inspect evidence and understand what is happening.
Explore ArgusSpectrum awareness
Collects and identifies RF activity, including real-time ADS-B and UAT decoding, while broader signal classification and direction finding continue in development.
Explore Recon RFSerious operational awareness should not depend on the size of an organization or the size of its technology budget. Recon is being built to be practical enough for smaller teams to use, modular enough to adopt in pieces, and interoperable enough to work alongside other systems when needed.
Where the work could lead
Recon began with hurricanes and flooding, but the underlying problem reaches far beyond disaster response. Fragmented information, disconnected systems and the need for a clearer operating picture exist across public safety, government, infrastructure, maritime, environmental, industrial and research work.
Built with intent
Recon is being built through working software, hardware integration, field testing and research. We distinguish what works today from what is still being developed, tested or explored, and let what we learn shape what comes next.
Our development approach