Skip to content
WINGMANAUTOMATION
Patent pending · Fully offline

Your weighers are already capable of more.

Wingman is an autonomous control layer for multi-head combination weighers. It tunes every head, every cycle, every shift. It does the work nobody has time to do by hand.

1234567891011121314PACK170.0gtarget 170 g11 OF 14 HEADS SELECTED
RECORDED CYCLE14 HEADS · 170 G TARGET4 HEADS STARVED

Schematic. Hopper states are real, recorded during the audited session; the combination shown is solved live in your browser. Measured giveaway figures are on the results page.

Mean fill per head over the armed window, in grams: head 1, 9.4; head 2, 11.7; head 3, 18.3; head 4, 22.6; head 5, 19.5; head 6, 8; head 7, 7.2; head 8, 6; head 9, 7; head 10, 21.2; head 11, 34.2; head 12, 24.1; head 13, 16.7; head 14, 10.2.

+18.65pts
efficiency on one recipe, locked in 18 minutes after switch-on, unattended
Measured session, 23 Jul 2026The machine's own stored best for this recipe rose from 61.65 % under manual operation to 80.30 % under autonomous control, written by the system without human involvement.
32%
less product given away per pack (about a third) than a manually run machine on the same line, same shift, same pack
Measured session, 23 Jul 20261.06 g giveaway per 170 g pack under autonomous control against 1.56 g on a manually run machine on the same line, counter-differenced. The weight counter advances in 100 g steps, which puts the reduction between roughly 20 % and 42 %.
0
unsafe feeder configurations, across every control decision audited
Measured session, 23 Jul 2026115 logged control solutions. Zero inverted feeder pairs, zero rate-limit violations, zero overweight or no-dump events during the armed window.
02The problem

A combination weigher isn't one machine.

It's fourteen feeders, each behaving slightly differently, drifting all shift. Somebody has to notice that and correct it. In practice, nobody has the time, so the line runs on settings that were right this morning.

The weighers are excellent. The problem is that a human has to sit there and tune them by feel, and that human cannot be everywhere at once, forever. The enemy is the tuning burden, not the equipment.

03What it does

Five things, in this order.

01

It watches first

Installed in monitor mode, it reads every head, every cycle, and records what the machine does under your operators. It writes nothing.

02

It takes over gently

When you arm it, it starts from your existing settings and walks them in small, bounded steps. Nothing lurches.

03

It solves the whole machine at once

Every cycle it answers one question: which feeder settings bring every head closer to its ideal fill, without violating the machine's limits?

04

It learns your heads

In the background it builds a model of how each individual head responds, pairing every change with the weight that change genuinely caused.

05

It only acts on learning it can prove

The learned model adjusts the proven solution only where it is confident of a strict improvement. Otherwise the proven solution is used, untouched.

Then it locks in success, and teaches the next machine what it learned.

04Safety

It cannot make things worse.

The learned model can only ever improve on a proven control move. It can never replace it with a guess. The worst case is exactly as good as the proven controller.

Four independent permissions must all agree before a single value reaches your machine. Any one of them says no and nothing is written.

Times it stood itself down
When the line stopped. It re-engaged on its own each time production restarted
20
Rate-limited adjustments
Largest step taken, against a limit of 5.0
5.0
Unsafe configurations issued
Across every decision audited
0
Overweight / no-dump events
During the autonomous window
0
Control source
Every action from the proven optimiser
100 %
05Diagnostics

It found a fault nobody was looking for.

Under identical commanded settings on every head, four adjacent heads were filling at roughly one third the rate of the rest of the machine. A product-distribution fault upstream of the weigher, silently capping the line's efficiency, invisible in any number anyone was looking at.

It compensated automatically and named the heads, so a human could go and fix the actual cause.

Mean fill per head, identical commanded settings
0102030MEDIAN 14.2 g9.4111.7218.3322.6419.55867.27687921.21034.21124.11216.71310.214HEAD
Under identical commands on every head, four adjacent heads filled at roughly one third the rate of the rest. That is a product-distribution fault upstream of the weigher, not a control fault.Measured session, 23 Jul 2026Mean hopper fill over the armed window 10:07:14 → 10:42:30, 1,673 control-phase samples. Every head commanded at timing 70 / amplitude 90.
06Getting started

Watching by Wednesday. Running your line by Friday.

Days 1–2

Install and connect

One on-premise computer, connected over your weighers' standard interface. No machine modifications. No line downtime.

Days 3–5

Monitor mode

It runs alongside your line, watching every head every cycle and learning your products, while writing nothing at all.

End of week 1

Fully autonomous

You arm the first machine. It starts from your existing settings and improves from there. Return it to monitor mode at any moment.

Book a line assessment.

We'll tell you what your line is actually doing before you buy anything.