Owllys

OpsNest

AI operations command centre for the plant floor

Connected manufacturing and on-demand production — real-time floor intelligence, predictive maintenance and vendor-connected supply.

The problem

You find out about downtime, scrap and bottlenecks after the shift, not before.

-45%
downtime
100%
floor visibility
80%
auto-scheduled
How it works

From signal to outcome, the OpsNest way

01

Connect

Machines, MES and people feed one live model of the floor.

02

Predict

Agents flag the line about to fail and the order about to slip.

03

Act

Reschedules, raises maintenance, and pulls material from Stocki and SourceNest.

04

Improve

OEE, scrap and changeover learnings compound run over run.

What it solves

The pain it takes off your plate

Unplanned downtime
No real-time WIP visibility
Reactive maintenance
Manual production scheduling
Run a live job

See the agent reason, end to end

Live job

Catch a failing line before it stops the order

  1. 1
    Sense

    Vibration + temperature on Line 3 drift past the learned envelope.

  2. 2
    Predict

    Agent estimates 71% chance of bearing failure within 6 hours.

  3. 3
    Decide

    Re-sequences the at-risk order to Line 5; schedules maintenance in the gap.

  4. 4
    Execute

    Raises the work order, reserves the spare in Stocki, alerts the shift lead.

Outcome

The order ships on time; the repair happens on a planned window, not a 2 a.m. breakdown.

Put OpsNest to work on a real outcome

AI recommends. Business governs. We commit to the KPI before we start — then you scale.