Elorian’s first AI model wants to reason with images, not just about them

According to Elorian's evaluations, Glimpse outperforms even GPT-6 Astra on scientific chart reasoning and short-form video captioning, with competitive results on other visual reasoning tasks. Elorian, the Palo Alto AI startup that raised a $55 million seed round at a $300 million valuation before it launched a product, released its first model on Friday, TechCrunch has exclusively learned. The model, Glimpse, is launching as a research preview with API access and a chat interface. The thesis? Today’s AI models, for all their skill with language and code, still can’t really see. Most multimodal models look at an image once, convert it to tokens, and then reason about it in text — like describing a photo from memory.

Glimpse keeps going back to the source. Mid-reasoning, it can crop into a region, pull specific frames from a video, or run code to measure or compare what it’s looking at, a mechanism Elorian calls a “visual scratch space.” Think of someone pinching to zoom on a phone photo to double-check what they thought they saw. For former Google DeepMind researcher and Elorian CEO Andrew Dai, one of the clearest signs that AI still couldn’t really see came on game night. Last year he photographed a board game he’d just finished with friends and asked a frontier model who was winning. It couldn’t