Our Integrated Systems research explores what comes after the individual model: the architecture, coordination, and judgment that turn isolated AI capabilities into a unified system of intelligence. This work focuses on how AI systems understand business intent, harness human expertise, and reason through complex, multi-step problems that no single model can solve alone.
The department’s innovation centers on orchestration: designing systems that coordinate agents and tools, learn continuously from experience, and operate reliably at enterprise scale. This research treats reliability, adaptability, and governance as foundational, not add-ons applied after the fact. The goal is infrastructure that enterprises can depend on for real decisions and real workflows, at any scale and under any condition.
Want to learn more about our integrated systems department? Meet our team of experts, check out our blog posts, or read our latest publications.