A simulation platform, purpose-built for physiological closed-loop controller design.

Ships with ready-to-use physiological models, virtual patient cohorts, optimization tools, and controller templates.

About FluxSim Quickstart
FluxSim Studio — controller code editor with BIS trace replay, per-patient loss heatmap, and run history FluxSim Studio — simulator canvas with physiological model blocks and virtual patient configuration
A focused environment for rapid controller iteration.
How it works
  1. Deploy Simulator: choose from the prebuilt library or bring your own custom physiological model.
  2. Iterate Controller: write Python in the browser IDE, or develop locally using your preferred tools and LLMs.
  3. Simulate Cohort: click "Run" in the browser or trigger via the FluxSim API to run your controller against a virtual patient cohort in the cloud.
  4. Analyze Outcomes: inspect per-patient loss in a heatmap, replay physiological traces, and compare performance across versions.
local or cloud Deploy Simulator cloud Iterate Controller Simulate Cohort Analyze Outcomes local or cloud cloud Deploy Simulator Iterate Controller Simulate Cohort Analyze Outcomes
Prebuilt libraries.

We currently have the Schnider propofol model with a PID controller and a 200-patient virtual cohort. Our roadmap extends the simulator to include remifentanil and an MPC controller.

Models Schnider Propofol Minto Remifentanil Eleveld Propofol
Controllers PID SISO MPC SISO PID MIMO MPC MIMO