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A world model for how healthcare actually works

The Healthcare AI Infrastructure Layer

Knit is a world model purpose-built for healthcare. This is the next frontier in AI that is trained not on language like LLMs, but on the real actions of real clinicians treating real patients. It learns how care actually unfolds: the full space of possible patient pathways, and the real probabilities of what happens next.

The Knit platform is a unified intelligence layer, trained on hundreds of millions of clinical actions and EHR data. It replaces a patchwork of point solutions with one model that understands the whole system.

Use Cases

These illustrative use cases represent just a fraction of what’s possible. Knit’s flexible clinical intelligence supports all kinds of health system goals, and our engineers work alongside your teams to design and deploy APIs tailored to your specific needs.

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Use Case
Intelligent
Specialist Routing
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By modeling individual care pathways, Knit surfaces which patients can be accelerated and which patients should potentially be redirected.
Use Case
Intelligent
Specialist Routing
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Use Case
Predictive
Patient Flow
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Knit analyzes patient journeys in real time, continuously updating recommendations to unblock patient flow across the hospital.
Use Case
Predictive
Patient Flow
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Use Case
Optimized
Care Team Allocation
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Knit matches ambulatory patients to care options, optimizing allocation across MDs, APPs, virtual care, and other resources.
Use Case
Optimized
Care Team Allocation
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Use Case
Actionable Clinical
Variation Insight
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Knit analyzes clinical actions and learns from top performing clinicians to identify high impact opportunities for systemwide improvement.
Use Case
Actionable Clinical
Variation Insight
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Use Case
Proactive Care
Recommendations
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Knit monitors patient records in real time to identify emerging care needs, and recommends next steps for scheduling and care.
Use Case
Proactive Care
Recommendations
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Knit is designed from the ground up for enterprise healthcare privacy and security.

We handle protected health information under HIPAA-aligned safeguards, with encryption, role-based access, and continuous monitoring built in. Knit is trained on real clinical data and decisions, and because it models uncertainty, it allows for assessment of model prediction.

Maya Petersen, Knit Chief Scientist
“I love that we’re applying pioneering science, developed in years of academic research, to enable better outcomes for patients.”
Zoey Ma, Knit AI Engineer
“I came to Knit because I want to work on cutting-edge AI research that directly improves people’s lives.”
Jonas Knecht, Knit Co-CTO
“I’m really excited about being on the vanguard of AI by building new world models of healthcare.”
Sophie Pinkard, Knit Chief Product Officer
“So much innovation in healthcare is focused on slight improvements on the margins. At Knit, we have the opportunity to fundamentally transform our current system.”
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Investors

Moxxie Ventures
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Uncork Capital
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Coalition Operators
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Frist Cressey Ventures
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Highlights

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