Realtime video for industrial safety and operational continuity

One-shot,
realtime video experiences.

Describe the what you want to see from 10's, 100's to 1000s of video streams in one natural-language request. We'll turn that intent into a live operating experience that joins video, operational signals, realtime models, and purpose-built composition.

Bring us a hard video problem See how it works

Built for the plant, the pad, the yard, and the operations center. Designed to run on-prem where the work happens.

The ooda compositor: one camera view brought forward with a warning marker and a loudspeaker, above a column of thumbnails with one being switched in.

An on-premises GPU server rack running realtime video analysis and world-understanding models, with a lattice of connected nodes above it.

The models are pluggable. So is our team.

Realtime video inference and world-understanding vision-language models slot into the platform as interchangeable parts. We ship with open-source models, post-trained open-weight models, and NVIDIA models, and we swap one out when a better one shows up. When a customer has its own AI center of excellence, our engineers embed with it. The models driving our systems of action become an artifact that our teams can tune, validate, and evolve.

Engineering bench sketch: a rack of slide-in modules with one being slotted into place, an oscilloscope and a chart recorder drawing a rising trace, a monitor that shows a plant floor, and two engineers leaning over the chart together.

Bring the model

Open-source, post-trained open-weight, NVIDIA, or a model your team already trusts. Each one fits the same slot, so changing a model does not mean changing the system around it.

Embed the team

Our engineers work inside your AI center of excellence, on your data and under your review. Your team makes the tuning calls with ours, not after us.

Prove it with evals

Every model change runs against rigorous evals on your known moments before it reaches a live view. An integration changes when the eval says the new version is better, and not before.

The gap between seeing and acting

Digesting a firehose of signals

Cameras can show what happened. Sensors can report a state. Models can flag a condition. Operators are still left to join those pieces while the line is moving, pressure is building, or a vehicle is entering the yard.

We build the missing operating experience. It brings the right evidence forward, in context, and gives people or connected systems a clear next action.

Pen-and-ink pressure test scene connecting a live pressure reading, camera evidence, a worker's position, and an operator check. — One request. One composed operating view.

ooda.video enables one-shot, realtime video experiences.

01Live streams without context is footage.
02Detections without an escalation path get burried in logs.
03Dashboards without immediate calls to action are wallpapering.

The job is not to add one more screen. The job is to shorten the distance between an event and a useful response.

Start with the outcome

Say what the operation needs. Together we'll build backwards from there.

The usual path starts with product specifications, interfaces, and integration lists. You'll start with a answers to key questions: what streams should the system watch, what signals to bring to the equation, what context changes the meaning, who needs to know, and what should happen next? Your narrative is the source of intent for the live experience.

01 · Describe
Name the moment that matters.

Describe the condition in operational language. Include the equipment, people, thresholds, exceptions, and response that matter at the site.
Flag a missing carton before it reaches the sealer, show the confirming view, and notify the line lead.
02 · Connect
Bring evidence and signals together.

Connect the relevant cameras, machine states, sensors, event streams, and site systems. Keep the source of every signal visible so an operator can judge the evidence.
03 · Compose
Put the right view in front.

Our AI-driven, realtime compositor arranges video, telemetry, model output, terminal sessions, and controls around the event. Active views gain space. Quiet views recede without disappearing.
04 · Act
Respond while it still matters.

Alert a person, update an operating view, write an event, call an API or MCP endpoint, or hand the condition to an existing control workflow. Every response is designed and validated for the operation.

Built around the operation

The hard part is rarely the camera.

Useful industrial video has to understand process, timing, risk, and response. These are the kinds of problems we take on.

Application 01 · Safety around critical work

Keep the live condition and the human position in the same view.

Combine equipment state, pressure, work zones, person events, and camera evidence during high-consequence operations. Bring the relevant view forward when conditions change. Give the operator enough context to decide, not just a red box and a timestamp.

A person enters a live exclusion zone.
Required protective equipment is missing at a defined task point.
A vehicle or worker occupies a path while equipment is moving.
A pressure or machine state changes the meaning of an otherwise normal scene.

Video evidence is strongest when the operating state travels with it.

Loading area sketch showing equipment motion, a vehicle path, and separated pedestrian work zones.

Application 02 · Quality and process control

Catch the condition before it becomes a batch problem.

Watch for missing parts, misalignment, wrong orientation, damaged packaging, incomplete assembly, or drift across a process. Confirm the event over time and route the result into the response the line can support.

A slot is empty before a loading step.
Product orientation will cause a downstream jam.
A package seal, label, or fill level falls outside the accepted state.
A repeated small defect points to a process change rather than a single bad item.

Detection matters. Timing and line context decide whether it is useful.

Packaging line sketch: a small camera on a gantry looks straight down at a belt full of identical pouches, and a burst of air from a nozzle shoves one pouch with a small tear off the belt into a wire reject bin while a line worker looks on.

Application 03 · Remote operations and situational awareness

Give one operator the view the moment requires.

Mix live video streams, equipment telemetry, agent activity, and operational alerts into an attention-driven view. The composition changes with activity, so the important event gets space without turning every source into a permanent wall tile.

A remote pipeline moves into a critical pressure state.
A yard entrance becomes active outside its expected window.
A deployment or agent task changes the operating state that a team is watching.

Ambient when quiet. Specific when something needs attention.

Activity-weighted composition with one industrial video view enlarged above several quiet views.

Application 04 · On-prem crowd safety

Stop the ride before the fence-hopper reaches the track.

An amusement park runs on timing. A guest climbing a perimeter fence under the lift hill is a camera event, a ride-state event, and a dispatch decision at the same moment. Cameras on the fence line see the climb, the system joins it with the train sitting at the crest, and the security room gets the alert with the confirming view before the drop begins. All of it runs on site.

A person crosses a fence line into the restricted area under the track.
The train is at the top of the lift hill and has not started its descent.
The security desk hits stop with the evidence in front of them, and the train holds.
No footage leaves the park; the cameras, the models, and the response stay on premises.

A useful alert is one a person can act on in the seconds that matter.

Amusement park sketch: a roller coaster train climbing the lift hill with riders throwing their arms up, a person just starting to climb the perimeter fence below, a camera on a pole watching the fence line, and an inset security room where a guard hits the emergency stop.

Application 05 · Animal safety

Catch the intruder or the prized thoroughbred in distress.

We're the overwatch for horse-racing stables that house precious thoroughbreds. Sabotage looks like two ordinary events: someone in the aisle after hours carrying a bucket of treats or a syringe with sedatives, along with a stallion down in the straw rolling uncomfortably. Cameras along the aisle detect both, the system relates them, and the security office gets a realtime alert with the two views side by side, so someone gets on the radio and dispatches help.

A person enters the racehorse barn aisle outside the expected hours.
The person carries feed, or drugs toward stalls they should not visit.
A horse lies down with colic, exhibiting atypical and distressing behavior.
The security desk dispatches by radio with the intruder and the stall on the same screen.

Night-time horse barn sketch: a long aisle of stalls under ceiling cameras, empty stalls, a hooded intruder carrying a bucket of treats with a thought bubble showing a horse collapsed in straw, and an inset security office where a guard speaks into a radio.

Application 06 · Critical infrastructure

See the fence climb before the substation goes dark.

A substation sits at the end of a long transmission run, unstaffed and miles from the nearest crew. A person going over the perimeter fence is the whole warning. Cameras on the fence line catch the climb. The system confirms it is a person, not a branch or an animal. The remote operations center gets the live view in time to raise the utility on the radio and send a crew before the intruder reaches the equipment. Flood lights turn on, warning the intruder to immediately leave the area.

A person crosses the perimeter fence rather than entering through the gate.
The crossing happens at an unstaffed site outside any scheduled maintenance window.
The person moves toward energized equipment inside the yard.
The operations desk sees the fence and the yard on one screen and dispatches by radio.

Nobody is on site. The camera and the desk are the only witnesses that can act.

Electrical substation sketch at dusk: a hooded intruder outside the barbed-wire perimeter fence, one foot on the ground and one hand and leg up on the mesh, starting to climb in, transformers and insulator stacks inside the yard, transmission towers running in from the distance, fence-line cameras, and an inset remote operations center where an operator watches the climb on a monitor and speaks into a radio.

One experience, built across the stack

Live evidence in. A working response out.

Our experiences cross the boundaries between video infrastructure, AI inference, operational data, composition, and human attention. We homebrew the parts of that path that need to behave as one realtime system.

Five-part path from live camera and sensor inputs through realtime understanding and composition to an operator at a flat monitor showing the composed view, and on to a response.

Live inputs

Camera streams, machine states, sensors, event buses, and approved operational data.

Realtime understanding

Detection, tracking, temporal reasoning, and world-understanding models chosen for the condition, site, and available compute.

Composition

A realtime mixer and compositor that can unite live video, telemetry, browser surfaces, OS windows, terminals, and model output.

Attention

Activity-weighted views, visual emphasis, and audible policies that help people notice the right event without making every signal equally loud.

Response

Operator guidance, alerts, event records, approved endpoints, and integration with site workflows or systems of action.

Beyond passive monitoring

Attention is part of the system.

A useful live view has two modes. Most of the time it should sit in the environment without demanding attention. When a meaningful condition appears, it should identify the source, bring the evidence forward, and make the response legible.

That may mean a visual reorganization, a restrained audible cue in the deployed product, a spoken alert, or a handoff to another workflow. Alert policy belongs to the operation. Teams should be able to mute, filter, or narrow classes of events by role, place, and time.

Quiet is a state. Attention is an action.

Observe

Dense, live, and calm. The view behaves like operational wall art while the system watches.

Orient

Activity changes the composition. The source and evidence become obvious without covering the rest of the operation.

Act

The right person or connected workflow receives a response with enough context to judge what happens next.

Replay before reality has to prove it

Build against known moments. Test the whole response.

Industrial edge cases do not arrive on a convenient schedule. Our simulations replay synchronized camera streams and operational telemetry as if they were live. Teams can develop, demonstrate, and qualify the complete experience against known conditions before depending on the next real event.

Develop

Iterate on video logic, models, overlays, and composition with repeatable source material.

Qualify

Compare output against expected ranges during engineering and release work.

Demonstrate

Show the experience with controlled, approved material instead of exposing customer operations.

Synchronized camera, sensor, and event strips sharing one replay position.

The same event can run again. The question becomes whether the new system responds better.

How we work

Start with one condition worth solving.

The best first engagement is narrow enough to test and important enough to matter. Bring the operating condition, the available evidence, the site constraints, and the response you want. We will work outward from there.

Define the operating goals
Agree on what the system should notice, the context that changes its meaning, and the response that would be useful.
Inspect the evidence
Review camera placement, lighting, timing, equipment state, telemetry, network boundaries, and the false conditions likely to fool the system.
Build and replay
Create the first complete experience, then exercise it against recorded or simulated events until the behavior can be judged.
Commission on site
Deploy within the required boundary, tune with operators, document response policy, and measure the condition in operation.

We are a fit when the problem crosses video, operational context, and realtime response. If a standard camera feature already solves it, we will say so.

Let's spark up a conversation about live, realtime video solutions

AI is the new operating system. We make the window manager for mixing and compositing live video on top of it all. Let's make your live streams into something actionable.

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One-shot,realtime video experiences.