Real-time Bayesian inference engine for signals intelligence logging. Camera-first interface with brutal simplicity.
A logging system designed for rapid field capture and probabilistic analysis. Camera launches immediately on app open. Snap image, tag with minimal metadata, move on. The system builds belief networks over time, surfacing patterns and correlations.
Zero friction capture is paramount. Every tap should add value, not manage UI state. The interface disappears into the task—point, shoot, tag. Analysis happens in the background.
Tags are free-form but the system learns. Bayesian inference builds a world model from repeated observations. Confidence scores surface on entities. Related events cluster automatically.
Each observation updates the world model. Time, location, tags, and image content all factor into the probability graph. The system doesn't require explicit structure—patterns emerge from repeated observation and temporal proximity.