AUTOMATE STAGE

Jonathan: Physical AI for the Pharma Floor

A quadruped robot engineered for routine, high-consequence floor checks, starting with automated line clearance verification in packaging lines. Trained entirely inside 8chili's OpenUSD digital twins.

Explore Sim-to-Real Pipeline
OPENUSD DIGITAL TWIN SIMULATORNVIDIA Isaac Sim Aligned

Line Clearance Verification Engine

Simulated Line 4 Packaging Area • Photoreal Isaac Sim / Cosmos Environment

✓ 100% Virtual Training
✓ Machine-Readable Records

Why 8chili Can Build Physical AI

Hardware is a commodity. Photoreal, physically accurate digital twins and step-level human execution data are the true asset.

1

The Twin is Built Once

Every VR simulation authored for HintVR operator qualification is built OpenUSD-native. That same digital twin serves as the synthetic training ground for Physical AI robots.

2

Humans Generate Ground Truth

HintVR generates behavioral attempt data on what perfect execution looks like, while HintAR captures real shop-floor camera feeds. This data trains robot perception models.

3

Sim-to-Real Zero Downtime

Jonathan learns navigation, object detection, and clearance verification inside the virtual plant, consuming zero cleanroom time, zero product, and zero sterility budget.

Our Honest Product Posture

Jonathan is currently in active development and is not yet in commercial production. In a highly regulated industry, stating product status plainly is a commercial asset: it is why customers trust our five shipping production products (SkillsForge, HintVR, Nova, HintAR, and Atlas).

Co-investment pilots are available for select pharmaceutical manufacturers wanting to shape the future of floor robotics.