Early access · Montreal, QC

Constitutional AI for Hardware Engineering Teams.

An AI-governed hardware/software co-design framework that brings software-level iteration speeds to physical engineering. Built for system integrators — physics first, with a human in the loop.

21days to hardware
01engineer
80%less time debugging
§ 01 · Why now03 / trends

Agentic AI unlocks it. Hardware now demands it.

Agentic breakthroughs make the platform buildable for the first time. Multi-sensor humanoids, edge AI, and Space 2.0 make it non-negotiable.

01

Agentic AI is here

What was PhD-grade automation last year is a commit today. Physics-Informed Neural Networks, agentic orchestration, and generated documentation finally make the platform buildable.

02

Systems are exploding in complexity

Multi-node edge AI. Humanoids carrying 60–70 sensors. Hardware–AI–software co-design is now standard. Waterfall cannot keep pace with the systems being built on top of it.

03

High-stake hardware can't wait

Space 2.0, defense, and medical demand fast cadence with airtight compliance. Paper trails decide who ships.

Crucible ships the result: fast iteration, unified agile flow, and an auditable paper trail — newly possible, newly required.

§ 02 · Case study01 / device

GaitSense — 21 days, one device.

A single-ankle wearable that detects walking asymmetry. Built entirely inside Crucible, with agent-assisted debugging before any hardware was fabricated.

MCU
nRF52840
Sensor
LSM6DS3TR-C
Radio
BLE
Form
Ankle wearable
Legacy approach
3–6months
  • Expected timeline: 3–6 months.
  • Team of several engineers. Software, Firmware, Electronics, Algorithm.
  • High risk of late-stage algorithm failure due to simulation-to-reality disparity.
  • Months spent compiling compliance documentation.
Crucible accelerated
21.days
  • Timeline: 21 days, end to end.
  • One single engineer.
  • Agent assistance caught a stance-imbalance hallucination while testing stair-walking logic — a bug that usually requires $1,000 sensor-fusion wearables to surface.
  • Compliance documentation squeezed from months into days, ready for patent filing.
§ 03 · The team02 / founders

Built by physicists and serial deeptech founders.

Two PhDs. Two prior deeptech startups. One platform we wish had existed.

PhD, Mechanical Engineering
Siyao Shao

Siyao Shao

Co-founder · AI Lead

Serial entrepreneur in the US and Canadian startup environments. Founded two deeptech companies prior.

Expert in physics-native computing and AI system design.

PhD, Physics
Roxanne Turcotte

Roxanne Turcotte

Co-founder · Hardware Lead

Astroparticle physicist from IceCube and SNOLAB. Saw bad hardware quietly ruin good analyses.

Signal analysis, multi-physics simulations, and precision-detector work.

§ 04 · Engage

Hire our team to build your hardware.

While the platform is maturing, we take on a limited number of hardware-development engagements each quarter. Two PhDs and a deeptech-native team, applied directly to your device.

01

Proof of concept

per project

Physics-first feasibility studies for embedded, wearable, and HVAC programs. Delivered with the simulation, firmware, and compliance artifacts to defend the design.

02

Development partnership

team setup + engagement

End-to-end hardware–firmware builds under the Crucible governance model. We embed alongside your team through Stages 0–4 — from toolchain lock to field deployment.

03

Advisory & audit

retainer or fixed

Diagnose stalled hardware programs, audit simulation-to-reality gaps, or stress-test a BOM and firmware stack before you commit to fabrication.

Active domainsWearables & BLE·HVAC & sensor fusion·RF & telecom·Smart home & IoT
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