Every Layer, Captured
Thermal and optical imaging of each layer as it prints, archived against the part's serial number — a visual build record from first layer to last, indexed and searchable.
The Problem
In Aerospace, the Part Is Half the Deliverable
Anyone who has bought flight-adjacent hardware knows the truth: the paperwork can cost more than the print. Powder lots, build parameters, thermal history, inspection results, heat-treat records — aerospace quality systems demand a complete, traceable story for every serial number, and assembling that story is manual, slow, and error-prone at most shops.
We are building a service where that story assembles itself.
The Concept
The AI Documentation Stack
AI-Driven Inspection Workflow
AI-orchestrated dimensional probing and inspection routines feed results straight into the part record — capturing the measurement story alongside the build story.
A Compliance Portal, Not a PDF Dump
Customers get a portal, organized the way audits actually ask questions: by serial number, by lot, by process step. Designed to support AS9100-aligned documentation practices from the ground up.
Rapid One-Off Prototypes
The service targets the jobs big bureaus deprioritize: one-off and small-batch prototype parts in IN718, IN625, and Ti-6Al-4V, with turnaround as the headline metric.
Why Us
The hard part of this venture isn't the printer — it's the data discipline. We already run our own AI infrastructure, our own agentic automation, and our own scan-to-print pipeline. AI-driven documentation is what we do; the build chamber is a new place to point it. And as a supplier working inside the NASA supply chain, we've lived the receiving end of aerospace documentation requirements.
Where the Venture Stands
This capability is in development. We're deep in market and compliance research, validating the documentation stack against real aerospace quality-system requirements, and planning the initial nickel-alloy production cell. If your organization buys exotic-alloy prototypes — or is tired of chasing build records — we'd like to talk while we design this around real customers.
Related Work
Autonomous Supply-Chain Logistics
Alongside the manufacturing cell, we're researching autonomous drones for supply-chain logistics — the same autonomy stack that runs our edge AI, applied to moving material. Early research, same thesis: systems that operate without a human in the loop, and document everything they do.
Buy Exotic-Alloy Prototypes?
Help us design this service around your compliance reality. Early conversations shape the roadmap.
Get in Touch