Manufacturing Intelligence & AI Investigation

Pick your plant, see what the cameras already show

Lines, cells and stations. Cameras already cover the floor; what is missing is anything watching them continuously.

Runs on the estate you have. RTSP and ONVIF over the existing cameras, no rip and replace.
Zones you draw. Robotic cells, electrical rooms and restricted areas as virtual boundaries.
The clip, not the shift. Event-driven recording keeps the incident, not eight hours of nothing.

Continuous plant, few people. Long stretches where nothing happens and a short window where it matters.

Fire and smoke. Detected on camera rather than waiting on a fixed-point sensor.
PPE for the hazard. Respirators, harnesses and gloves as well as helmets and vests.
Inside the boundary. Self-hosted inference where footage cannot leave the plant.

Hygiene, handling and line speed. Compliance evidence that today is a paper record and a supervisor's memory.

Evidence per event. The incident lands as a record, not a screenshot in an email.
Zone discipline. Entry to areas that require a change of gear or a wash step.
Retention that fits audit. Lifecycle policy on the footage, not manual housekeeping.

Forklifts and people sharing floor. The proximity events nobody logs until one becomes an injury.

Forklift and pedestrian. Detection of both, and of the crossings where they meet.
Near misses surface. Recurring high-risk areas visible across weeks, not one shift.
Cross-camera. The same vehicle or person followed between cameras.

Where the record is the product. What was detected, what was changed, and who saw it, all evidentially held.

Chain of custody. Incident media held with an audit trail from the moment it is captured.
De-identified for sharing. Personal data removed on the copy that leaves; original untouched.
Air-gapped where required. Full deployment with no external calls.

What You Get

What an investigation layer has to do

Every format in one case

Footage, documents, scanned records and recorded statements held together per incident, with integrity verified at intake.

Chain of CustodyFile Assessment

The sequence, assembled

Agentic workflows gather what relates to an event across the library and build the order things happened in, rather than a person opening systems one at a time.

Agentic WorkflowsGraph Designer

Answers carry their source

Every conclusion names the material it drew on, so a reviewer can check it rather than take it on trust.

CitationsGrounded Answers

Ask the whole record

Natural-language questions across video, audio and documents together, not one modality at a time.

Multimodal Search

A person where it matters

Human-in-the-loop checkpoints hold the workflow at the decisions that need judgement rather than automating through them.

Human in the Loop

Built to leave the building

De-identified for disclosure with custody logged, when the case goes to a regulator, an insurer or counsel.

De-identificationAudit Trail

How It Works

From event to a defensible account

Gather

An event triggers a workflow that collects what relates to it -- footage from the cameras that cover the area, the reports and procedures that apply, the recordings that touch it.

Reconstruct

The workflow builds the sequence and describes what the footage showed, with each step pointing at the material behind it.

Defend

The result is held with chain of custody and can be de-identified for release, so it survives the review that follows.

FAQ

Manufacturing Intelligence & AI Investigation, asked and answered

What is manufacturing intelligence?

It is a reasoning layer over the material an incident actually leaves behind -- footage, documents, records, recorded conversations -- rather than another dashboard. The point is to answer what happened and why, with the evidence attached.

Does it connect to our PLC, SCADA or MES?

Not through named connectors today. Integration is via REST APIs, webhooks and the workflow node catalog, so joining plant telemetry is a project to scope rather than something to switch on. Treat any claim otherwise with suspicion, including ours -- confirm it against your own systems before designing around it.

What can it correlate today?

Content the platform holds or can ingest -- video, audio, documents, images and their extracted text -- together with external events passed in as triggers. The correlation the platform performs on an external signal is resolving which cameras covered that zone at that moment; the external system remains the detector.

How is this different from asking a general AI assistant?

A general assistant answers from what it was trained on. This answers from your own material, using retrieval over the case record, and shows the source each statement came from. Where it lacks grounding it escalates rather than producing a plausible answer.

Does the investigation hold up afterwards?

That is the point of putting it on an evidence platform rather than a chat tool. Material is held with chain of custody, access is audited, and a disclosure copy can be de-identified while the original stays intact.

Can a person stay in control of it?

Yes. Workflows are drawn rather than coded, and human-in-the-loop checkpoints hold them at the steps that need a decision.

Can it run inside our environment?

Yes, including fully air-gapped with self-hosted models, for sites where nothing may leave.

The Answer Is Across Six Systems. Nobody Has Time To Open Them.