Greenlight Avatar · Digital Twin

Geometry

Qualification panel geometry. Pairs with Demo B's synthetic Toray 2510 under-cure story.

Not a 3D printer. The TapeLayer™ is a coordinate-axis tape-laying machine — this geometry is the contoured tool surface the machine builds the part on, not a printed part. The coordinate-axis design is what lets it accept contoured tooling.

Property overlay

Reference temperature82 °C

−54 °C / 22 °C / 82 °C are the calibrated points in the Toray 2510 dataset. Other temperatures are interpolated and shown striped.

Load case

Magnitude500.0 N

Tensile Strength · MPa

0.01.0

black numeral = vendor-stateddark-blue numeral = assumed (±10%)striped = interpolated

Lifecycle savings

Estimated rework avoided$2,400per batch · projected

Time to spec reduction−25%4.0 → 3.0 iterations

Baseline iterations4.0

Panel prepreg cost$2,400

Per-test rework cost breakdown (anchor: $1800)

Specimen prepreg + consumables$320

Cut to coupon dimensions$180

Tab + cure tabs$240

Mount + align in fixture$160

Test labor (technician + machine)$480

Bench / fixturing / QC overhead$420

Synthetic projection. Anchors taken from Demo B's savings.py; substitute your values to see your number.

Why this telemetry is uniquely capturable

A gantry head locks the Z-axis and presents consistent normal force at every XY location. A 6-axis arm introduces gear lash at every swivel and changes calibration with reach distance. Per-machine telemetry from one TapeLayer™ cannot be reproduced on a different machine — that's the moat.

Gantry · consistent6-axis · drift

Material-agnostic, not material-specific

NDA-gated framing

Greenlight · material-agnostic

One machine, any qualified material. The AI tunes layup across the whole database — the recipe lives in the twin, not the hardware.

Electro Impact / Coriolis · material-specific

Machines built around one material system. The process is baked into the hardware, so there's nothing portable for an AI to learn and re-apply.

That's why customers can't fork the AI to other hardware: a material-specific machine has no agnostic layer for the model to optimize over.

"A car with extensive sensors learns your routes and builds an avatar that predicts your trips better than Google Maps — because it's tuned to your vehicle. Someone else's car can't reuse that data."

— Robert Bryant, 2026-04-03

"I've got the data that the insurance company needs to ensure my product."

— Robert Bryant, 2026-05-15

Right-sized parts with calibrated uncertainty bands are insurable in a way over-built guesswork is not. The error bars on every value above are the underwriting story.