AI agents for pre-op surgical workflows
Every case writes its own card.
Pare learns from surgeon behavior, patient context, and institutional utilization to generate case-specific supply plans before every procedure.
Simulated overnight run on real engine output · supply staging only · every plan reviewed by your team
Built with surgeons and perioperative teams.
Surgeon-informed
Learn from real behavior in the OR.
Patient-aware
Factor in patient context and risk.
Institutional intelligence
Continuously improve with every case.
How Pare works
Learn
We ingest preference cards, EHR, usage, and outcomes to learn what actually happens.
Predict
Pare generates a tailored supply plan for your case the night before.
Execute
Your team reviews and executes with confidence in the OR.
Improve
Outcomes are captured and the model gets smarter, every time.
Why preference cards fall short
Preference card
One-size-fits-all.
Static lists assume every case is the same.
Pare
Case-specific.
Every prediction adapts to the patient, the surgeon, and what actually happens.
From the operating room
“There's an inherent fear among scrub techs of not having the appropriate supplies immediately ready and available.”
“The excessive supplies being left opened and unused at the end of each case in the OR should be addressed.”
Our methodology
Pare uses a proprietary modeling approach combining machine learning with clinical expertise to predict case-specific supply needs.
Learn more about our methodologyReady to transform your OR?
Request access to see how Pare can help your team plan smarter, reduce waste, and improve outcomes.