Approval policy engine
Which parameters need a human, which role, and what happens when the SLA expires.
One autonomy policy, one audit standard and one model fleet across brand-owned plants and contract manufacturers in every geography you source from.
Governance, identity, deployment and support built for a manufacturer with plants on three continents and brand agreements on all of them.
The same graph, the same statuses and the same approval semantics whether the line is in Ho Chi Minh City, León or Porto.
| # | 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 |
Enterprise deployments run plant by plant with a shared model fleet and a shared policy.
| Phase | Scope | Autonomy | Governance milestone |
|---|---|---|---|
| Q1 | Lighthouse plant, one wedge workflow | Observe → recommend | Autonomy policy ratified |
| Q2 | Lighthouse plant, full loop + twin | Act with approval | Audit export accepted by brand QC |
| Q3 | Two additional plants, wedge workflow | Recommend → act | Fleet model governance in place |
| Q4 | Network rollout, shared model families | Act with approval on bond and last | Quarterly model review cadence live |
Every one of these exists because a plant, a brand auditor or an IT security team asked for it.
Which parameters need a human, which role, and what happens when the SLA expires.
A contract manufacturer can run several brands with no cross-brand data or model leakage.
Signed, immutable export of every action and approval into your GRC or quality system.
Model versions, health and rollback across hundreds of edge units from one console.
EU, US or in-country residency, or fully on-prem with no egress at all.
Availability, response and model-regression SLAs with a named customer solutions engineer.
Sized against a network of plants rather than a single line.
Commercial figures are indicative; contractual terms are set per agreement.
The controls that make autonomy acceptable to an enterprise risk committee.
The documents and evidence enterprise buyers request during diligence.
Illustrative scenarios from multi-site design-partner conversations.
“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.
ERP, PLM, MES and historian integration is table stakes for a network rollout.
Connectors ship as versioned adapters. Anything not listed is reachable through OPC UA, MQTT, Modbus TCP or the Footeon REST/gRPC API.
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.
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.
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.
Line at $8,000 per line per month for one workflow, Factory at $55,000 per month for the whole loop, and Enterprise from $350k to $4M ACV for multi-site networks with custom material, last and bond models. Outcome-based components are available on leather waste, rework and returns.
Bring your network map and your worst quality line. We will scope a lighthouse plant and a fleet plan.