Knit AI:
A leap forward for clinical intelligence

At the core of Knit is a new class of healthcare-native intelligence that learns from how care is truly delivered. Rather than relying only on text, like AI tools built solely on LLMs, Knit learns from the patterns of clinical decision-making embedded in electronic medical records. By observing millions of real decisions across health systems, Knit builds an interpretable understanding of how patients move through care, how clinicians choose between options, and where access, timing, and coordination break down. This intelligence allows Knit to reason about healthcare the way the system itself operates. It is a new form of AI for healthcare.

This breakthrough enables something fundamentally different from conventional AI tools. Instead of generating recommendations in isolation, Knit understands patient flows, provider behavior, and operational constraints at the same time. The result is intelligence that can operate directly inside care pathways, optimizing scheduling, routing, referrals, staffing, and access in real time while remaining aligned with how each organization practices medicine.

Because Knit’s technology is grounded in the structural realities of healthcare, it opens entirely new categories of products. From next-day specialty access to system-wide referral orchestration, from intelligent scheduling to dynamic care routing, Knit transforms fragmented processes into coordinated systems. This is not AI layered onto healthcare. It is intelligence built from within it.

The Knit approach allows health systems to expand access, reduce delays, and deliver care more efficiently without forcing clinicians to change how they practice. Knit does not replace clinical judgment. It learns from it, scales it, and helps ensure that the right patient reaches the right provider at the right time.