Imagine a world where you own some sort of building whether that's a grocery store, a restaurant, a factory… and you want to know how many people reside in each section of the store, or maybe how long did the average person wait to be seated or how long did it take the average factory worker to complete their assembly task. Currently today these systems are either not using AI and instead use a mix of sensors and buttons to track certain actions or they do use AI but in a way that's highly specific to their use case and hard to easily modify for new use cases that come down the line. This is where BrainFrame comes in. BrainFrame is a tool that connects to all your on-prem cameras and lets you easily leverage AI models and business logic. Alex Thiele is the CTO of Aotu the company that makes BrainFrame and he joins me today to talk about BrainFrame and the vision for a future where computer vision can be run by anyone.

Imagine being able to embark on a real-time computer vision project in a few hours, with no code to build a traffic control system, a warehouse monitoring system, or an in-store point of sale optimization system. Like the apps that are built on top of smartphone operating systems, these smart computer vision projects can use a multitude of proprietary and vendor algorithms. Because they are built on top of BrainFrame, an operating system for computer vision that comes with a Smart Vision AI Developers Kit, they take a fraction of the time to build than other computer vision projects. BrainFrame is one of the core products of Aotu.ai, started by two founders, Stephen Li and Alex Thiel. Stephen applied his experience building out the Android operating system to BrainFrame.