
Siyao Shao
Serial entrepreneur in the US and Canadian startup environments. Founded two deeptech companies prior.
Expert in physics-native computing and AI system design.
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.
Agentic breakthroughs make the platform buildable for the first time. Multi-sensor humanoids, edge AI, and Space 2.0 make it non-negotiable.
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.
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.
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.
A single-ankle wearable that detects walking asymmetry. Built entirely inside Crucible, with agent-assisted debugging before any hardware was fabricated.
Two PhDs. Two prior deeptech startups. One platform we wish had existed.

Serial entrepreneur in the US and Canadian startup environments. Founded two deeptech companies prior.
Expert in physics-native computing and AI system design.

Astroparticle physicist from IceCube and SNOLAB. Saw bad hardware quietly ruin good analyses.
Signal analysis, multi-physics simulations, and precision-detector work.
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.
Physics-first feasibility studies for embedded, wearable, and HVAC programs. Delivered with the simulation, firmware, and compliance artifacts to defend the design.
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.
Diagnose stalled hardware programs, audit simulation-to-reality gaps, or stress-test a BOM and firmware stack before you commit to fabrication.
Have a question, a project, or an idea you'd like to explore? Send us a note and we'll get back to you.