Operate
Accuracy decays quietly. Somebody has to notice.
New products, replaced lighting, a camera nudged during maintenance, a different supplier's finish. Every one of them moves the data, and none of them announces itself.
Managed Edge & Model Fleet
The situation
Before we start
Silent decay
Vision and sensor systems rarely fail loudly. They get slightly worse for months until someone notices the escape rate has climbed.
Nobody owns it after go-live
The project team disbands and the system belongs to whoever sits nearest. An operations agreement makes that ownership explicit.
Hardware in hostile places
Edge devices live in heat, dust and vibration. Health monitoring and a spares plan cost less than an unplanned line stop.
What working means here
Signed first. Measured after.
The value of each one is set with you during scoping, from your data and your line. What does not change is that they are written down first and published against afterwards, pass or fail.
- 01
Drift caught before quality moved
Alerts raised ahead of any change in your escape rate
- 02
Retraining cadence
Releases driven by monitoring, not a calendar, each validated before rollout
- 03
Device availability
Fleet health across sites, reported monthly in writing
How it is assembled
Stage by stage
Each one ends in something you keep.
- Step 01
Baseline
Current accuracy and device health established, and we agree what deviation is worth waking someone for.
- Step 02
Instrument
Monitoring, sampling and alerting deployed against that baseline.
- Step 03
Operate
Alerts triaged, incidents handled under SLA, retraining scheduled as conditions move.
- Step 04
Review
A monthly written report and a quarterly session on what to change next.
Scope
What the work includes
- Continuous accuracy monitoring against sampled ground truth
- Drift detection with alerting before quality metrics move
- Scheduled retraining as products and conditions change
- Staged over-the-air rollout with automatic rollback
- Device health monitoring and a managed spares pool
- Incident response under an agreed SLA
- Monthly written report on accuracy, incidents and recommendations
- Quarterly review with your operations team
Deliverables
What you keep
- 01Monitoring and alerting in place
- 02Monthly accuracy and incident report
- 03Scheduled retraining releases
- 04Managed spares pool
- 05Named escalation contacts
- 06Quarterly operations review
Construction · Vision
Zone and PPE monitoring across eleven active sites
Site cameras were recording for insurance but nobody was watching them live. We added edge units behind the existing camera estate to flag exclusion-zone entries and missing PPE, and routed alerts to the supervisor on shift.
Read the engagement- 11
- sites live on existing cameras
- 99.9%
- per-site availability
- < 4 s
- detection to supervisor alert
Start
How Managed Edge & Model Fleet begins
From $4,500 per month
Where an engagement lands inside its band is set by data readiness, integration depth, the reliability bar, evaluation burden, deployment constraints and usage economics. All six, explained.
Thirty minutes on the problem and where it happens, then a fixed-price pilot if it looks like a fit.
Talk about operationsFAQ
Asked before signing
Standard cover is business hours with a four-hour response. Continuous sites take 24×7 cover with a one-hour response for anything that stops a line.
Yes, after an assessment engagement. We need to know what is deployed and what state it is in before putting our name against an SLA.
Two to four times a year on a stable process, plus any product or tooling change. Monitoring decides, not the calendar.
Often paired with
Where this fits with the rest
- 01Physical AI
Edge AI & Computer Vision
Detection, inspection, tracking and safety on-device. Milliseconds, and no network dependency.
- 02Physical AI
AI IoT Development
Sensor fusion, predictive maintenance and condition monitoring across a fleet you can update.
- 03Physical AI
Vision Systems Integration
Cameras, optics, lighting, enclosures, and the PLC, SCADA and MES interfaces that make results act.