Introspection startup launches infrastructure platform for self-improving AI agents through automated feedback loops
Product launch Provisional 72% confidence first seen
Introspection, a startup founded by former xAI employees, is building infrastructure for "autoresearch" systems where AI agents maintain and improve themselves through feedback loops without constant human intervention. The company proposes treating feedback loops as products, using "agent recipes" to capture system evolution, and optimizing for systems that become better and cheaper over time, drawing on broader research into recursive self-improvement mechanisms being explored by frontier AI labs.