Lamina Labs

@Ycombinator P26 | Building @Laminalabs , the fastest infra for video generation | CS & Math @MIT

Simi is an AI explainer studio that turns a single prompt, document, or workflow into a narrated whiteboard-style video in seconds. It writes the script, draws the illustrations, animates them, adds narration, and hands you a finished video , with output across 80+ languages, so anyone can explain anything clearly . It is aimed at students, course creators, customer training teams, and product and support orgs that need to turn dense text into something a viewer can actually follow. Behind Simi, Lamina Labs is building what it calls near-real-time video infrastructure for LLMs, meant to be called from apps, APIs, or agent frameworks so that any model can return a video when a text answer is not enough. It generates anything from a minute to an hour in one shot, speaks 80+ languages so you write once and localize everywhere, and is built to plug in . The pitch is that most generative video today targets cinematic clips, while Lamina is optimizing for useful, structured explanations tied to a specific document, concept, or workflow. The company was founded by Sudip Rokaya and Kartikesh Mishra, two Nepali MIT students who founded Lamina Labs in San Francisco , and it is a current Y Combinator company. This launch marks a $4.8M round led by Foundation Capital with participation from Link Ventures and Y Combinator, alongside the public release of Simi as the first product built on the underlying infrastructure.

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