Seven products, one closed loop

Buy the workflow that hurts most, then close the loop. Each product ships with its own models, connectors, guardrails and dashboards — and speaks to the others through the factory orchestrator.

  • Line plan starts at $8,000/mo
  • Whole factory at $55,000/mo

Every product owns a physical step

These are not modules on a dashboard. Each one perceives a station and writes setpoints back into it.

Cut & Nest

Reads every hide and roll, marks scars, brand marks and grain direction, then solves a defect-aware nest across the live size curve and drives the blade or laser cutter.

  • Leather yield +8.3 pts
  • Scrap −40%
  • Nest solve under 15 s

Stitch & Upper

Controls stitch tension, seam alignment and upper assembly sequence across stitching stations, catching skips, puckering and edge deviation before the upper moves on.

  • Seam defects −57%
  • Tension held ±4%
  • 14 stations per line

Mold & Sole

Runs compression and injection moulding for EVA, PU and rubber — temperature, pressure, dwell and cure — to hold midsole density and outsole geometry against material-lot drift.

  • Density variance −62%
  • Short shots ≈ 0
  • Cycle time −9%

Last & Bond

The make-or-break agent: lasting fit under heat and tension, then primer, adhesive, activation temperature, press pressure and cure — the parameters that decide whether a shoe lasts years or delaminates in months.

  • Delamination returns −71%
  • Bond-gap escapes 0
  • Window held in 96% of shifts

Sensing, robotics, yield and knowledge

The second half of the loop: verifying every pair, moving material, and remembering what worked.

Quality & Fit

Vision and metrology on bond line, seam, sole geometry, cosmetics and 3D fit — predicting defect and return risk per pair, not per sampled batch.

  • First-pass yield 98.2%
  • Escape rate 0.14%
  • 100% pairs inspected

Robot & Assembly

Drives robotic material handling, upper and sole assembly, cleaning, lacing, insole insertion and packing on Jetson-class edge units.

  • Manual handling −38%
  • Pack accuracy 99.9%
  • 6 cell types supported

Yield & Energy

Optimises material waste, energy per pair, line balance and changeover scheduling — and owns the shoe-and-line digital twin that simulates a run before it starts.

  • Energy per pair −18%
  • Changeover −46%
  • Twin fidelity ±2%

Footwear-Knowledge

Retrieval over patterns, BOMs, construction specs, material and adhesive datasheets, and quality procedures — so every agent decision cites the clause or datasheet behind it.

  • Citations on 100% outputs
  • Multi-tenant isolated
  • Versioned per factory

Products become a run

Selected products appear as nodes in the run graph. Unpurchased steps stay in observe mode, so the loop degrades gracefully instead of breaking.

RUN-4417 · Velo Trainer 2 · Line B · plant HCMC-03agent graph
Twin simulate — Yield-and-Energy — SUCCEEDED Twin simulate twin.simulate_run ✓ SUCCEEDED Cut and nest — Cut-and-Nest — SUCCEEDED Cut and nest cut.nest_optimize ✓ SUCCEEDED Stitch upper — Stitch-and-Upper — SUCCEEDED Stitch upper stitch.tension_control ✓ SUCCEEDED Mould sole — Mold-and-Sole — SUCCEEDED Mould sole mold.density_control ✓ SUCCEEDED Last upper — Last-and-Bond — SUCCEEDED Last upper last.fit_control ✓ SUCCEEDED Bond sole — Last-and-Bond — APPROVAL Bond sole bond.window_control ! APPROVAL Inspect pair — Quality-and-Fit — SUCCEEDED Inspect pair quality.inspect ✓ SUCCEEDED Finish and pack — Robot-and-Assembly — SUCCEEDED Finish and pack robot.finish_pack ✓ SUCCEEDED
View as table
Text equivalent — nodes, owning agent, dependency and status
#NodeAgentDepends onStatus
01 Twin simulate Yield-and-Energy — SUCCEEDED
02 Cut and nest Cut-and-Nest Twin simulate SUCCEEDED
03 Stitch upper Stitch-and-Upper Cut and nest SUCCEEDED
04 Mould sole Mold-and-Sole Stitch upper SUCCEEDED
05 Last upper Last-and-Bond Mould sole SUCCEEDED
06 Bond sole Last-and-Bond Last upper APPROVAL
07 Inspect pair Quality-and-Fit Bond sole SUCCEEDED
08 Finish and pack Robot-and-Assembly Inspect pair SUCCEEDED

The single biggest cost line in the plant

Irregular, defect-speckled hides waste 15–30% of the most expensive material in the shoe.

Cut & Nest scans each hide, marks scars, brand marks, holes and grain direction, then solves a defect-aware nest across the live size curve — placing forgiving parts over marginal leather and critical parts on clean areas. It drives blade and laser cutters directly and reports yield per hide, per lot and per cutter.

  • Yield reported per hide, not per batch
  • Grain-direction and stretch constraints respected
  • Handles textile rolls and synthetics on the same table
  • Rejected areas fed back to the supplier scorecard

Yield on lot LH-2291

Nest result versus plant baseline
MeasureBaselineFooteon
Leather yield79.1%87.4%
Scrap20.9%12.6%
Nest solve time41 min (manual)12.3 s
Out-of-tolerance parts70

Bond window, RUN-4417

  • validated window · 62–68 °C activation
  • observed RH · 58% → 71%
  • primer flash-off · +18% at 71% RH
  • proposal · activation 66 °C, press +0.3 bar
  • status · APPROVAL
  • approved · 10:34 · audit A-88213
  • result · 0 bond-gap escapes across 1,200 pairs

Where warranty cost is decided

Primer, adhesive, activation temperature, press pressure and cure decide whether a shoe holds for years or delaminates in months.

Last & Bond controls lasting fit under heat and tension, then holds the bonding process window as humidity, adhesive lot and line speed drift. Because bonding parameters are usually validated under a brand quality agreement, the agent defaults to act-with-approval: it proposes, evidences and waits.

  • Bond-line vision on every pair, not a sample
  • Process window recalculated per adhesive lot and per shift
  • Approval requests carry sensor evidence and datasheet clause
  • Handles cemented, injected, vulcanised and direct-attach constructions

The usual first purchase

Most plants start where the money is most obviously leaking.

Cut & Nest on the leather line

Leather and casual footwear

Defect-aware nesting on hides where scrap runs above 20% and the best cutters are near retirement.

Payback typically inside two quarters

Last & Bond on the athletic line

Sports and performance footwear

Bond-window control where delamination returns and warranty claims dominate quality cost.

Delamination returns −71%

Mold & Sole on injection

Contract manufacturers

Density and cure control across EVA, PU and rubber where lot chemistry drives short shots and density variance.

Density variance −62%

What each product senses and controls

Sensing without control is a dashboard. Every Footeon product does both.

Product coverage across sensing, control and reporting
ProductSensesControlsReports
Cut & NestHide geometry, defects, grainNest layout, cutter path, blade profileYield per hide, scrap, supplier scorecard
Stitch & UpperSeam position, tension, skipsStitch tension, station sequenceSeam defects, rework, station drift
Mold & SolePress temperature, pressure, dwellRecipe, cure time, cavity balanceDensity variance, short shots, cycle time
Last & BondLasting fit, humidity, bond lineHeat/tension profile, activation, pressBond escapes, window adherence, approvals
Quality & FitBond line, 3D fit, cosmeticsAccept, rework or hold routingFirst-pass yield, escape rate, return risk
Robot & AssemblyPart pose, cell stateRobotic handling, finishing, packingThroughput, manual handling, pack accuracy
Yield & EnergyMaterial flow, energy, line balanceChangeover order, scheduling, setpointsEnergy per pair, waste, OEE

What the loop returns

Aggregate outcomes when the whole loop runs rather than one product alone.

  • +8.3 points of leather yield on defect-aware nesting
  • −71% delamination-driven returns after bond-window control
  • 98.2% first-pass yield across inspected pairs
  • −46% changeover time between models and colourways

From the cutting room to the quality office

Three roles, three different reasons to buy.

“The nesting agent found yield our best pattern cutter could not — and then explained the layout hide by hide. We stopped arguing about scrap and started managing it.”
Head of Cutting Operations · Andean Footwear Co. [Illustrative]

Leather yield 79.1% → 87.4%

“Bonding is where our warranty costs live. Having an agent watch humidity, primer flash-off and press pressure on every pair — and stop for a human when it wants to move a validated parameter — is the first thing that has actually moved delamination.”
Quality Director · Verta Sportswear [Illustrative]

Delamination returns −71%

“We run 40 model changeovers a month. Simulating the nest, the mould recipe and the bond window in the twin before the line starts took hours out of every launch.”
Plant Manager · Đông Nam Footwear [Illustrative]

Changeover time −46%

Design-partner scenarios are illustrative and modelled on public footwear-manufacturing benchmarks — named references are [PLACEHOLDER] pending customer approval.

Product questions

  • No. Footeon is a software and factory-edge autonomy layer that sits on top of the machines you already run. We connect over OPC UA, MQTT, Modbus TCP and vendor SDKs, read sensors and vision, and write setpoints back through the controls you already trust — with approval gates on any validated parameter.

Pick the workflow that hurts most

We will baseline it, show you the run Footeon would have executed, and price the wedge.