Unified
Polarimetry, diffuse reflectance (DRS), and Raman in one engine, instead of separate research silos.
Product — coming soon
A differentiable Monte Carlo simulator for optical measurement.
A call returns an exact simulation output — a field. Because it is differentiable, it also returns gradients: that is what turns a forward model into an inverse-problem engine.
What it is
Differentiable by default
Gradients are the point: they open inversion — recovering a sample’s properties from a measurement.
Fast and cloud-based
GPU, on our infrastructure. The engine never leaves the cloud; you call an API.
Monte Carlo light transport is textbook, and open tools exist. Our contribution: a unified, fast, differentiable, productized engine aimed at inverse problems.
Pricing model
Usage-based: prepaid credits per run (weighted by compute cost), with differentiable mode included by default. Accounts, credit balance, and reports will live in the Console.
•Online payment is coming. For now: free trial and waitlist.
Free trial
Get an invite when we open. No card required.
Waitlist
Tell us which modality or problem you’d like to see developed.
Already have access? Open the Console →