Footeon is the autonomous operations layer for footwear and sports-shoe manufacturing — cutting and nesting, stitching, sole moulding, lasting and bonding, inspection and packing, perceived and controlled pair by pair.
| # | Node | Agent | Depends on | Status |
|---|---|---|---|---|
| 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 |
Design partners across athletic, casual and safety footwear
Design-partner names are illustrative [PLACEHOLDER] pending public announcement.
Leather waste, delamination returns, rework and changeover — the four line items that decide whether a plant makes margin.
Figures reflect design-partner pilots and modelled benchmarks; per-plant results vary with construction, material lots and baseline maturity. [PLACEHOLDER] pending published case studies.
A sneaker is 40 to 60 components that must be cut, stitched, moulded, lasted and bonded into a load-bearing, comfortable, good-looking object. Each of those steps gets an agent that perceives it and controls it.
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.
Controls stitch tension, seam alignment and upper assembly sequence across stitching stations, catching skips, puckering and edge deviation before the upper moves on.
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.
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.
Vision and metrology on bond line, seam, sole geometry, cosmetics and 3D fit — predicting defect and return risk per pair, not per sampled batch.
Drives robotic material handling, upper and sole assembly, cleaning, lacing, insole insertion and packing on Jetson-class edge units.
One lot, eight steps, one paused for a human. This is the same run shown in the graph above — the agent simulates it, cuts it, stitches it, moulds it, lasts it, bonds it, inspects it and packs it.
Simulated the whole lot in the shoe-and-line twin before a single hide was cut — nest layout, mould recipe and bonding process window for EVA midsole and rubber outsole at 71% relative humidity.
in: pattern velo-trainer-2, hide batch LH-2291, mould set M-14 · out: nest v7, recipe R-08, bond window 62–68 °C
Scanned 64 hides, marked 1,842 scars and brand marks, then solved a defect-aware nest across the EU 36–46 size curve. Leather yield came in at 87.4% against a 79.1% plant baseline.
in: 64 hides, 1,842 defects · out: yield 87.4%, 12.3 s solve, 22 nested part groups
Held stitch tension inside ±4% across 14 stitching stations, caught three skipped stitches on the lateral overlay and re-ran those uppers before they reached lasting.
in: seam map v3, thread lot TL-77 · out: 3 skips corrected, 0 escapes
Trimmed press temperature and dwell on P-3 as the EVA lot ran slightly high in blowing agent, holding midsole density at 0.24 g/cm³ within ±1.8% and cure at 214 seconds.
in: EVA lot EV-1180, recipe R-08 · out: density 0.24 g/cm³, cure 214 s
Lasted the upper over last set L-42 under a heat and tension profile tuned to this leather lot. Toe-lasting deviation held at 0.6 mm; heel seat measured true on every pair sampled.
in: last set L-42, 78 °C, profile T-2 · out: deviation 0.6 mm
Humidity climbed to 71% mid-shift, pushing the primer flash-off outside the validated window. The agent proposed +2 °C activation and +0.3 bar press pressure, and paused for the quality engineer to approve — the change touches a validated bonding parameter.
in: primer PR-9, adhesive AD-22, RH 71% · out: proposed activation 66 °C, awaiting sign-off
Bond-line vision, 3D fit metrology and cosmetic scan on every pair. First-pass yield 98.2%; 21 pairs routed to rework for adhesive squeeze-out, none for bond gaps.
in: 1,200 pairs · out: FPY 98.2%, 21 rework, 0 bond-gap escapes
Robotic cleaning, lacing, insole insertion and carton packing to spec C-4, with per-pair traceability written back to the MES and the brand’s quality portal.
in: carton spec C-4 · out: 1,179 pairs packed, 21 held
Leather yield 87.4%. First-pass yield 98.2%. Zero bond-gap escapes. Twenty-one pairs held for cosmetic rework.
Footeon agents do not narrate — they invoke tools against your cutters, stitchers, presses, ovens and vision rigs, and log the result. Here is the stream behind RUN-4417.
Lines beginning → are tool invocations; ← lines are results. Failures and approval requests are marked in text as well as colour.
The same stream is available over the API, the CLI and your historian.
Every new model, colourway or recycled material shifts the nest, the mould recipe and the bonding window. The shoe-and-line twin simulates the run first.
Footeon builds a twin of the shoe and the line — hide geometry and defect distribution, mould cavities and cure behaviour, last deformation under heat and tension, adhesive process windows, and station flow. Before a single hide is cut, the twin proposes a nest, a recipe and a bond window, then the agents hold them against real drift.
The one step in RUN-4417 that paused. Plant humidity drifted, the primer flash-off left the validated window, and the agent proposed a change it is not allowed to make alone.
Target: activation 62–68 °C, press 3.2 bar, cure 90 s, per adhesive datasheet AD-22 §4.2 and construction spec VT2-CEM-03.
Source: station sensor line-b/rh-04, confirmed against plant HVAC historian. Primer PR-9 flash-off time extends 18% at this humidity.
At current line speed the upper reaches the press before the primer is fully flashed, which is the dominant precursor to edge delamination in cemented construction.
Activation temperature is a validated parameter under the brand quality agreement, so the agent cannot change it autonomously. Approval requested with the sensor evidence and datasheet clause attached.
Change written to audit trail A-88213. Bond-line vision confirmed zero gap escapes across the remaining 1,200 pairs.
Every Footeon decision that touches a cut, a mould, a last or a bond line is recorded as plan, thought, action and observation — with the material lot, sensor reading and spec clause that justified it. Quality engineers can replay any pair.
Traces are retained for the full product-liability window and exported to your MES and quality system.
Cutting rooms, quality departments and plant managers — the three people who feel leather waste, warranty returns and changeover time.
“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.”
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.”
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.”
Changeover time −46%
Design-partner scenarios are illustrative and modelled on public footwear-manufacturing benchmarks — named references are [PLACEHOLDER] pending customer approval.
Footwear plants carry brand quality agreements, product-liability exposure and fiercely protected pattern and last IP. Footeon is built for that.
Priced per line, per factory and on outcomes — so the first workflow pays for the next.
Manufacturers validating ROI on one wedge workflow.
$8,000/line/month
Scaling factories adopting the whole closed loop.
$55,000/month
Brands and contract-manufacturer networks standardising on Footeon.
Customland $350k–$4M ACV
Annual prepay carries a 15–20% discount. Outcome-based components are available on leather waste, rework and warranty returns.
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.
It stops and asks. Every agent runs at a configured autonomy level: observe, recommend, act-with-approval, or act. Bonding, lasting and any parameter under a brand or safety validation defaults to act-with-approval, and every approval is written to an immutable audit log with the sensor evidence that triggered it.
Only if you choose. Inference runs on factory-edge servers, and Enterprise deployments can run fully on-premises or in your VPC with no telemetry egress. Brand IP — patterns, lasts, construction specs — is tenant-isolated and never used to train models for another customer.
A typical wedge deployment on one line runs six to ten weeks: two weeks of sensing and baseline capture, three to five weeks of shadow-mode model tuning against your material lots, then graduated autonomy. Whole-factory rollouts follow line by line.
Agents are bounded by guardrails and schema validation, they cite the datasheet or spec clause behind a decision, and they fail closed to the last known-good recipe. Continuous evaluation against golden datasets gates every model and prompt change in CI before it reaches a plant.
Book a line assessment. We baseline one line — leather yield, seam defects, bond escapes, changeover time — and show you the run Footeon would have executed.