VRTLST Edge v2 ships with on-device inference at 38 ms

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The platform

One stack, from the sensor to the dashboard

Six products that were designed together rather than acquired separately. Vision is the engine, Edge is where it runs, Inspect, Guard and Watch are what it does for you, and Command is where you steer the whole thing. Nothing to stitch together.

Architecture

How the pieces stack up

Read it from the bottom. Everything rests on the edge runtime, and everything above shares the same model.

Command

Control plane · fleet · access · audit

Inspect

Defect detection

Guard

Safety & security

Watch

Monitoring

Vision

Detection · segmentation · tracking · classification

Edge

On-device runtime · cameras · gateways · air-gapped sites

Layer by layer

Four layers, one model

The reason a defect model and a safety model agree about what they are looking at is that they are the same model, looking once.

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Edge is the floor
The runtime that turns a camera into a sensor — on a device, a gateway or a plant server. Everything above it runs on top of this.
Vision is the engine
Detection, segmentation, tracking and classification. One model stack, shared by every product above it.
Inspect, Guard and Watch are the jobs
Each takes what Vision sees and turns it into a decision a plant can act on — a verdict, an alert, a metric.
Command is the steering
Which model version is on which camera at which site, who changed it, and how to put it back.

Where it runs

Three deployments, one codebase

The same model artefact runs in all three. Moving between them is a deployment decision, not a rebuild.

Cloud

Managed by us

Fastest to stand up. Streams are processed in your region, models are managed for you, and nothing is shared across tenants.

On-prem

Inside your network

A plant server runs the stack behind your firewall. Command reaches it over a link you control, and frames never leave the site.

Edge & air-gapped

On the device itself

Inference runs on the camera. The air-gapped configuration has no outbound connection at all — models arrive by hand and stay put.

How it goes

From one camera to the whole estate

Every deployment we have run follows the same shape. Nothing here needs a data-science team on your side.

  1. Week 0

    One hour of footage

    Send us recorded video from a single line. We come back with what the model found in it — before anyone signs anything.

  2. Week 1–2

    One line, one model

    We stand up a pilot on the line that hurts most, using the cameras already mounted. Operators start correcting it on day one.

  3. Week 3–4

    Wired into the line

    The verdict moves from a dashboard to the PLC, the MES or the alerting channel your shift leads actually watch.

  4. Month 2

    Second line, second site

    The model and its thresholds travel. Command stages the rollout so a bad version never reaches more than one line.

  5. Ongoing

    It gets better

    Corrections accumulate, drift gets flagged, and new defect classes are a fine-tune rather than a project.

Security

Built for IT to say yes

Vision projects die in security review. These are the four answers that get asked for every time, and they are architectural rather than contractual.

Your footage never trains our models

Not on any plan, not in any deployment. There is no shared model that has seen your floor.

Air-gap is a supported mode

Not a workaround. Models arrive on media, inference runs locally, and nothing dials out.

Faces blurred at capture

Blurring happens before the frame is written anywhere. There is no identity index to leak.

SSO, RBAC and a full audit trail

SAML and OIDC, roles down to the site, and an exportable record of every change.

SOC 2 Type IIISO 27001GDPRCE / UKCA Request the security pack

Integrations

Fits the stack you already run

VRTLST is a sensor and a decision, not a replacement for your control system. It writes into what you have.

Control layer

  • OPC UA
  • Digital I/O
  • Modbus TCP
  • PROFINET
  • EtherNet/IP

Plant systems

  • MES
  • SCADA
  • Historian
  • ERP
  • CMMS

Data & messaging

  • REST
  • MQTT
  • Webhooks
  • S3 / Blob
  • Kafka

People

  • Slack
  • Teams
  • PagerDuty
  • SMS
  • Email

Ask about a specific system

Get started

Point it at a camera. See what it sees.

Send us one hour of footage from one line. We'll come back with what the model found in it.