LabSight is the intelligent operating system for life science wet labs — using non-invasive XR and multimodal AI to turn error-prone manual experiments into zero-mistake, fully documented, and reproducible workflows for researchers and PhDs.

We have a 5-person team spanning XR/SLAM, multimodal AI, and blockchain, with Rokid AR hardware collaboration in progress. Our stack combines non-invasive XR, VLM, and blockchain into a voice-first, minimal-intrusion architecture. Our goal is to pilot with ETH/EPFL labs within 12 months and land our first MVP.

LabSight was sparked by firsthand frustration in the wet lab — watching hours of work lost to a single pipetting error with no intelligent system to prevent it.

Our CEO Jingyi, a neuroscience PhD at ETH Zürich, connected researchers and engineers across ETH, Neuralink, and Google who shared the same pain.

The team united through ETH's research network, combining XR, AI, and blockchain expertise to build the solution none of us had as bench scientists.