Sightline turns the cameras and sensors you already own — traffic, CCTV, plant floor, structural gauges — into one AI that catches incidents in seconds, verifies them on the nearest feed, and hands your team a decision with the proof attached.
Most operations are already covered in cameras and sensors that nobody can watch in real time. Sightline doesn't ask you to buy new eyes — it teaches the ones you have to speak up, and writes down everything they saw, so every alert stands as evidence. We're now looking for a handful of partners to prove it out, side by side.
No rip-and-replace, no control room to staff. Sightline layers onto the infrastructure you already run.
Point Sightline at your existing cameras and sensors — ONVIF, RTSP, or your current VMS. An edge box plugs into the recorder you already have. Nothing gets ripped out.
The AI baselines each feed — traffic rhythms, a line's cadence, a bridge's vibration signature — so it can tell a real event from ordinary noise.
When something happens, Sightline confirms it on a second camera or sensor before it ever bothers a person — so you get signal, not a wall of false alarms.
The right person gets an alert with the clip, the location, and the recommended next step — and every decision is sealed to an audit trail you can defend later.
See the console for your world ↓
LIVE MAP · ALL CONNECTED CITY FEEDS
The collision is real and confirmed — responders already have the clips. The smoke isn't confirmed yet, so a drone is on its way. Everything else was routine and handled automatically.
Line 2 is most of today's downtime — same station, same jam. The pattern is in the OEE report now, so it can finally be fixed. Safety alerts went straight to the floor supervisor with clips.
The 2 a.m. entry was a real person — security has the clip. During the day it's mostly logging safety observations and verifying deliveries, so the daily report writes itself.
The forced door and the water leak are what matter tonight — both already have a person and a work order attached. Everything else was routine access the system cleared on its own.
Four sample views of the same Beacon console. In your pilot it's your cameras, your sites, and your team's workflow.
Different sites, same idea: connect what's there, learn what's normal, and flag what isn't — with proof attached. Pilots usually start with one of these and grow from there.
Spots crashes, wrong-way drivers, stopped vehicles, and people in the road the moment they happen — confirms it on a second camera, and pushes it to 911/dispatch with the clip.
Strain, tilt, and vibration sensors — read together with cameras and satellite settlement data — so a bridge, dam, or tower tells you it's changing long before it's a headline.
The same plant cameras keep people safe — PPE zones, forklift near-misses, spills, early smoke — and keep the line honest, logging every stoppage and its reason straight into your OEE.
Thermal and visual detection that knows a person from a deer at 2 a.m. A confirmed intrusion rings a phone with the clip attached — not a motion-alert inbox nobody reads.
Dock-based drones patrol on a schedule and launch themselves when an event needs a closer look — reaching the stacks, spans, riverbanks, and rooftops no fixed camera can see.
Rising rivers, encroaching vegetation, digging over a pipeline, a transformer running hot — pulled from gauges, fiber sensing, satellites, and thermal patrols into alerts with lead time.
Four moments a pilot partner might see in the first month — the kind of thing that used to be found out too late, or never written down at all.
A car turns up the off-ramp against traffic. Sightline flags it on the ramp camera, confirms it on the next two poles, and opens a live track for the state DOT and dispatch — before the driver reaches the mainline.
A jam halts production. The plant camera already watching that station logs the stoppage the instant it happens and tags a likely cause — no operator note, no clipboard, no guesswork at the end of the shift.
The main span's vibration signature drifts 1.9%. On its own it's nothing; Sightline connects it to the storm, the widening crack sensor, and a few millimeters of settlement — and books a drone to look for scour under the pier.
Motion at a remote substation. Instead of a generic alert, thermal and visual together confirm it's a person — not a raccoon, not swaying brush — and capture a clean clip of the approach.
Traffic poles, transit platforms, school entrances, storefronts, public-works yards — the cameras are already deployed. Sightline federates them into one picture: city systems stream live, private partners opt in with event-gated access, and drones fill the gaps between.
Traffic, transit, schools, and public-works cameras connect through ONVIF/RTSP or your current VMS — and incidents launch straight into 911/CAD.
Businesses and residents join a registry or integrate with event-gated access: their feed opens to operators only during a verified nearby incident, and every view is logged.
Docked drones patrol corridors and riverbanks and launch automatically when an unverified event needs eyes in about ninety seconds.
Beacon detects events — a collision, a fall, smoke — not identities. Face recognition is off at the platform level.
Partner feeds open only during a verified incident, for its duration. No standing live access to private cameras.
Faces and plates are auto-blurred in review; originals unlock only with documented case authority.
Searches and exports are attributed and can't be edited after the fact — the system watches the watchers.
Retention defaults are published, configurable, and enforced automatically unless held to a case.
Transparency portal, usage stats, and CCOPS-style controls — councils set the rules the software enforces.
Sightline isn't one fragile cloud watching everything. It's a decentralized mesh of independently owned, verified nodes — city cameras, partner feeds, sensor arrays, drone docks — each proven at enrollment and each signing what it captures. Trust isn't assumed. It's verified, per node, per frame.
Every device joins with a hardware-backed identity and a calibration proof. An unknown camera or a tampered sensor simply can't get in — nothing unsigned is accepted.
An alert becomes real when independent nodes corroborate it — a second angle, or a sensor that felt what a camera saw. One faked device can't invent an incident; one blind spot can't hide one.
Vetted contributors — businesses, camera owners, drone operators, sensor networks — connect verified capacity to the mesh and keep detecting through outages, because the network routes around any node that drops.
Beacon subscribes to a live stream of events — camera detections, sensor readings, weather, telemetry, satellite passes — and correlates them by place and time. When signals line up, the response is already moving.
Federate every camera, detect in seconds, dispatch with the clip — governed and audited.
Bridge vitals, roadway incidents, and work-zone safety on one screen — with a defensible record.
Cameras that log downtime, watch PPE zones, and catch smoke early — on-prem if you want it.
Substations, lines, and turbines under thermal and visual watch — vegetation trended before it touches.
Gate queues, yard flow, dock safety, and perimeter integrity from the cameras already on the cranes.
Progress documented, earthworks measured by drone, safety watched by the cameras you already run.
Thermal anomaly sweeps by drone, string-level trends, and perimeter watch across the array.
Stockpile volumetrics, highwall watch, and haul-road near-miss detection — survey-grade, continuous.
We're selecting a small group of pilot partners for 2026. You bring one real site and a problem worth solving; we bring the platform, the integration, and a hands-on team. In 90 days you'll have a measurable result on your own numbers — and outsized influence on where the product goes.
We link your existing cameras and sensors and stand up your Beacon workspace.
The AI learns what's normal for your site and we tune alerts to your workflow.
Live detection and verification, tracked against the KPI we agreed on.
A clear readout of results. Continue, expand, or walk away — no lock-in.
Cameras see events. Sensors feel structure. Satellites watch the ground itself move. Sightline runs the full stack — and checks every layer against the others.
Detection runs on or beside the cameras you own — ONVIF/RTSP, any major VMS — classifying collisions, people, smoke, spills, and stoppages without shipping raw video anywhere.
Existing cameras · on-prem optionA correlation engine ties detections together by location and time — so a camera hit, a strain spike, and a weather cell become one incident, not three tickets.
Same place · same time · sub-secondVibrating-wire strain gauges, tiltmeters, crackmeters, and accelerometer arrays — plus fiber-optic sensing that turns a buried cable into thousands of listening points.
Vibration signatures · fiberRadar satellites measure millimeter-scale ground movement across whole corridors — settlement and scour trends no ground network could afford to blanket.
mm-scale · wide-areaDock-based drones with RTK positioning, LiDAR, and thermal payloads fly scheduled patrols and event-triggered sorties — the network's mobile witness.
RTK · thermal · BVLOS-readyEvery verified event and reading lands in a living model of your assets — trending toward failure predictions, maintenance windows, and capital plans backed by measured reality.
Change detection · prediction
Tell us what you run and the one thing you'd most like to see coming. We'll map the cameras and sensors you already have and come back with a pilot plan — usually within two business days.