Most serverless platforms are great when your function is small, stateless, and finishes quickly. But modern AI applications often do not look like that. They need to: run background jobs process files call LLMs execute multi-step pipelines expose API endpoints handle webhooks run scheduled tasks keep containers warm preserve logs and traces avoid Kubernetes complexity That is the problem I am working on with Inquir Compute . Inquir Compute is an AI-first Function-as-a-Service platform designed for developers who want to deploy functions, API endpoints, cron jobs, webhooks, and background workflows without managing Kubernetes, containers, ingress, scaling logic, or infrastructure boilerplate. Why I started building it I originally worked on Inquir as a search-as-a-service product. The idea was simple: help developers build search engines over different data sources. But while building ingestion pipelines, I noticed something interesting. A lot of the hard parts were not just about search.…