Hoid builds software that optimizes AI inference for any model on any hardware. Today, it takes expert engineers weeks to optimize a single model. Oftentimes, by the time they finish, the next hot model is already out. Hoid's agentic AI compiler optimizes a new model in days instead of weeks and automatically beats expert-optimized engines like vLLM and SGLang by 30%. In just one month, Hoid has scaled to a $196K contracted run rate with live customers, and additional advanced pilots are underway with an audio model lab, multiple inference providers, and a large, global autonomous driving company. Hoid was co-founded by a team of AI performance engineers. CEO Momcilo worked on ultra-low-latency data ingestion at Databricks and multi-GPU training optimization at Microsoft. CTO Pavle graduated from Cambridge and, together with CRO Vladimir, optimized the world's fastest video generation model at Tenstorrent.