Governed intelligence for real operations Pilot access

Operational video, turned into governed intelligence.

Dravune brings perception, durable operational memory, and governed operator control into one intelligence platform. Vision Edge connects camera environments to local perception workloads.

Edge-connectedEvidence-firstOperator-governed
Operational signal pathImplemented foundation
01 / SourceCamera streamsExisting infrastructure
02 / EdgeVision EdgeLocal perception
03 / RecordEvents + evidenceBounded context
04 / ControlCortex + operatorGoverned response
ObserveReasonBuildTranscend
The product loop

From live signal to useful operational context.

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.

01Observe

Connect real operations

Vision Edge connects to camera infrastructure and brings live video into a resilient local perception pipeline.

02Understand

Structure what happened

Detection, tracking, zones, and operational context turn raw frames into useful events instead of another video wall.

03Preserve

Keep the evidence

Relevant events stay associated with playable evidence, giving operators context without searching through hours of footage.

04Operate

Respond with authority

Operators review history, open governed Live View, assess intelligence, and take explicit actions through one controlled experience.

Physical intelligence layerPilot
Dravune Vision Edge M edge AI appliance
PROCESSINGOn-siteUPLINKSecure control planeSTATELocally resilient
Vision Edge

Perception where operations happen.

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.

  • Camera connectivity and local processing
  • Person detection, tracking, and zone context
  • Event generation with associated evidence
  • Governed, on-demand Live View
See how Vision Edge works
Evidence and visibility

See what matters — live or after the event.

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.

EVAvailable

Event evidence

Pre-event, event, and post-event video stay bounded to the operational record for secure playback and review.

PREEVENTPOST
LVAvailable

Governed Live View

On-demand video is opened by an operator, secured as a bounded session, and can include live perception overlays.

Dravune Cortex

Intelligence can advise. Authority stays explicit.

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 development
01
Observed fact

What the camera and runtime directly reported.

02
Derived intelligence

Structured detections, tracks, zones, and event context.

03
Advisory

Interpretation that helps an operator decide what merits attention.

04
Governed action

An explicit, attributable operator decision — never assumed authority.

System architecture

One governed path through the system.

The public model is intentionally simple. Secure boundaries connect the edge, durable records, operational intelligence, and the people responsible for the outcome.

Designed for trust

Control is part of the product.

Governed access

Live sessions and operator actions are explicit, bounded, and attributable.

Tenant boundaries

Operational resources and state remain scoped to the authorized organization.

Edge resilience

Local processing keeps the physical site from depending on a constant round trip.

Durable state

Events and evidence remain available as operational records, not ephemeral output.

Pilot with Dravune

Bring one real environment. Build from evidence.

We are working with pilot customers and technical partners who want to turn existing camera infrastructure into governed operational intelligence.