Liquid's models are optimized for everything that hospitals, pharma, and medtech need. Get reliable, real-time decisions that fit your budget and keep sensitive data out of the cloud.
Researchers and caregivers need their data to stay close. They also need frontier model quality and real-time performance.
Making AI work in clinical and pharma environments comes with its own special set of constraints:
Whether it's patient details or proprietary research, data is strictly regulated, making cloud-based AI difficult or impossible to use.
Applications like ICU monitoring and telehealth require real-time response, making latency and network drops a real clinical risk.
Numerous regulatory structures make it hard to use black-box AI that learns on patient data, or lives outside a controlled environment.
Every Liquid SLM is customized on the specific data and challenges of your clinic, research team, or practice. So they're working with all the right specialized knowledge, following the right policies and guidelines, and doing it all at a fraction of the size and cost of general LLMs.
Deploying AI inside your hospital network or VPC keeps sensitive data local. Liquid's models are also built with architectures that support HIPAA, SaMD change-control patterns, and auditability.
A single SLM family can deploy across your organization, working with text, audio, and images. That means bedside agents, imaging & lab copilots, smart trial operations, and more are all working to the same guidelines, on the same data, with the same interface principles.
AI implementation that brings dramatic benefits to healthcare and research, but doesn't bring new vulnerabilities.
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