Connect real operations
Vision Edge connects to camera infrastructure and brings live video into a resilient local perception pipeline.
Dravune brings perception, durable operational memory, and governed operator control into one intelligence platform. Vision Edge connects camera environments to local perception workloads.
Dravune is being built around a simple premise: video becomes valuable when teams can understand what occurred, retain the right evidence, and remain in control of what happens next.
Vision Edge connects to camera infrastructure and brings live video into a resilient local perception pipeline.
Detection, tracking, zones, and operational context turn raw frames into useful events instead of another video wall.
Relevant events stay associated with playable evidence, giving operators context without searching through hours of footage.
Operators review history, open governed Live View, assess intelligence, and take explicit actions through one controlled experience.

Vision Edge is the connection between physical camera infrastructure and the Dravune platform. It handles local video ingest and perception, generates operational events, and maintains a secure relationship with the control plane.
Dravune separates continuous viewing from event evidence. Operators choose when to open a live session and can return to preserved operational history when investigation is needed.
Pre-event, event, and post-event video stay bounded to the operational record for secure playback and review.
On-demand video is opened by an operator, secured as a bounded session, and can include live perception overlays.
Cortex is Dravune’s in-development layer for connecting observed facts and durable memory to reasoning, planning, governance, and controlled execution. Dravune keeps those categories distinct so a hypothesis never quietly becomes an action.
In developmentWhat the camera and runtime directly reported.
Structured detections, tracks, zones, and event context.
Interpretation that helps an operator decide what merits attention.
An explicit, attributable operator decision — never assumed authority.
The public model is intentionally simple. Secure boundaries connect the edge, durable records, operational intelligence, and the people responsible for the outcome.
Live sessions and operator actions are explicit, bounded, and attributable.
Operational resources and state remain scoped to the authorized organization.
Local processing keeps the physical site from depending on a constant round trip.
Events and evidence remain available as operational records, not ephemeral output.
We are working with pilot customers and technical partners who want to turn existing camera infrastructure into governed operational intelligence.