Can CCTV show why a situation is unsafe? I built SiteCheck to review construction footage. It’s powered by Glimpse from Elorian. A new lab from the team behind Google’s Gemini and Apple’s MM-1. Visual Thinking, applied to site safety. Monitor a video and ask about safety. SiteCheck returns timestamped concerns and their reasons. No danger zones need to be drawn. Here, a worker approaches an unguarded opening. A fall-risk warning highlights the nearby worker. It clears after he moves away. The opening remains marked as a hazard. The construction footage here is AI-generated. The analysis comes from actual API calls. @ElorianAI @AndrewDai

Elorian launched Glimpse today. Most of the talk is about computer use, CAD, and multimodal data labeling. I think robotics will be the biggest use case. Robots can already move. What they’re missing is a planner that sees well enough to tell whether a move worked, and is fast and cheap enough to check every step. Demo below: Glimpse plans each step, then checks the cameras every 2s to confirm it actually happened. A check every 2s is 1,800 calls per robot-hour. Glimpse is 7x cheaper than GPT-6 Astra and ~1s faster per call. The same budget on Astra buys one check every 14s. Computer use, CAD, and labeling are the near-term revenue. Robots come later and get bigger. Today, Glimpse can tell a robot a step failed so it retries. Next, a robot that retries can learn on the job, graded on what actually happened. I rebuilt it as a simulation where your hand is the robot arm. Same camera, same executor, two planners. Try it: brianzhan.com/glimpse

Spent years watching models ace a single image and completely whiff on anything that moves or changes angle. Today we’re fixing that. Try Glimpse now, our first visual thinking model with competitive frontier performance compared to Astra on key public visual reasoning benchmarks.

Building for the best