ArchiSist AI turns pipe layouts, pump curves, and boundary conditions into pressure-drop and thermal-load estimates — built from the field by an engineer who runs a live thermal and water network, not a lab.
No claims here get ahead of the build. This is the honest state of the computational core today, and where it's headed.
Pressure drop and flow calculations run on the Darcy-Weisbach equation with a Swamee-Jain friction-factor approximation — live and interactive. See it work in the demo below.
A PINN core trained against Navier-Stokes and Darcy-Weisbach constraints is in development, extending single-pipe math to full branched networks.
Built to be read on a phone in a mechanical room, not just a desktop in an office — large touch targets, high-contrast readouts.
Adjust the inputs below. The output updates live using the Darcy-Weisbach equation — this is a genuine calculation, not a mock number, but it's simplified to a single straight run of pipe.