Jalibor provides the infrastructure layer for distributed validation and tracking of moving real-world events.
A moving entity triggers the network. Nodes activate, consensus grows, trajectory is reconstructed — in real time across the distributed mesh.
Every city has cameras. Every citizen has a smartphone. Every business has sensors. But none are connected into a unified intelligence layer capable of tracking what is happening — as it happens.
A report is one voice, frozen in time — believed or ignored. Consensus is many independent observers, and a confidence that keeps evolving as the event itself moves.
One source. One moment. No corroboration, no trajectory, no way to earn trust. It is taken on faith — or discarded.
Many independent observers converge on the same event. Confidence rises with corroboration, decays without it, and the event is tracked as it moves.
Jalibor uses Presence Mesh Consensus to validate and track real-world events in real time. Unlike platforms that report static events, Jalibor continuously reconstructs the trajectory of moving entities — through a distributed mesh of human observers and AI systems.
A node submits a georeferenced, timestamped report.
Nearby nodes are instantly alerted and enter validation state.
Independent nodes confirm or add information. Confidence grows with each corroboration.
The consensus engine reconstructs the entity's trajectory across the city in real time.
Anyone can join the mesh and validate events through the channels they already use. Report, confirm, and track in real time — straight from your messaging apps.
Proof of Presence Validation (POPV)
Every event generates a distributed confidence score updated in real time as independent nodes corroborate. Single reports never reach high confidence — structural anti-fraud by design.
False reports become structurally difficult. Not through moderation — through math. Consensus requires independent corroboration across spatial and temporal dimensions simultaneously.
Every observation is weighed by how close in space and how recent in time it is to the event. Presence near the event, right now, carries full weight. Presence far away, or long ago, fades toward zero — never rejected, just weightless.
w = e−d²⁄2s² · e−λ·Δt
geographic × temporal — the core of Presence Mesh Consensus
Jalibor's network effect compounds with every node that joins. More participants means stronger consensus, faster validation, and wider geographic coverage.
Primary validation nodes. Report events, validate sightings, and track moving entities through the city mesh. Their verified presence is the foundation of PMC.
Human Node LayerConnected cameras — residential, commercial, municipal — operating as autonomous AI validation nodes. Visual entity detection, direction tracking, and confidence contribution without human intervention.
Autonomous Node LayerReal-time urban event intelligence via API. Situational awareness dashboards, dynamic threat tracking, and inter-agency event sharing. From reactive to predictive.
Command & Control APIPolice, private security, and rapid response teams integrate PMC data for real-time situational awareness. Moving entity tracking. Trajectory prediction. Coordinated response.
Response IntegrationLogistics, insurance, retail and real estate operators integrate urban intelligence to reduce operational risk, protect assets, and optimize coverage in high-density urban areas.
Enterprise Intelligence APIConnected vehicles, smart city sensors, public infrastructure nodes joining the mesh. As the IoT ecosystem expands, Jalibor's coverage and resolution increase automatically.
Next-Gen Node LayerThe value of the network compounds with participation. Every node that joins strengthens consensus, widens coverage, and sharpens tracking for every other node — a defensible advantage that grows with density, not spend.
Jalibor is real-time urban intelligence infrastructure — built for cities, municipalities, and enterprise security teams.
jalibor.app · technical@jalibor.app · Urban Intelligence Infrastructure · 2026