Clinical Care
Alerts keep multiplying, but clinicians still have to assemble the context, judge urgency, and find the person who can act on it.
Healthcare & Life Sciences
Get the Right Information to the Right Person, When It Matters Most.
Healthcare and life sciences teams already have more data, alerts, and recommendations than they can act on. Foxtrot builds AI and data systems that bring fragmented information together, surface what matters, and get critical work to the people who can act on it.
Schedule a Custom Consultation
300+
Hospitals, distributors, and manufacturers connected in one operating picture.
90 Days
To replace a six-year-old healthcare platform without interrupting live operations.
Days to Minutes
For research-ready analysis
100%
Of high-priority cases scored and routed for action.
The Problem Isn’t More Data. It’s What Happens Next.
Across clinical care, provider operations, and life sciences, the problem is rarely a lack of information. The right context arrives late, lives in too many places, or reaches the workflow without a clear owner.
Foxtrot brings the data, workflows, and people around the decision together, so critical signals surface sooner, ownership is clear, and work keeps moving.
Provider Operations
A missing supply, delayed handoff, or buried exception can disrupt care before anyone else sees the risk coming.
Life Sciences
Critical data is scattered across clinical, laboratory, regulatory, and unstructured sources, slowing research and the decisions that follow.
FOXTROT x SURGENCE • BUILT ON PALANTIR FOUNDRY
When Supply Risk Becomes Patient-Care Risk.
A fragmented healthcare supply chain can become a patient-care problem in an instant. See how the Foxtrot and Surgence partnership leveraged Palantir Foundry to bring hospitals, distributors, and manufacturers in one shared operating picture. This enabled teams to have earlier visibility into supply risk and more time to act on.
THE OPERATIONAL TRANSFORMATION
From Fragmented Patient Data to Research-Ready Insights in Minutes
Critical patient information was scattered across clinical, laboratory, and pathology systems. Producing insight for a single request required days of data science work, including integrating records, de-identifying sensitive information, and assembling a complete patient view.
Foxtrot built an integrated research platform on Palantir Foundry that brought those sources together, automated PII redaction, and gave researchers an intuitive way to identify patient cohorts and generate insights in minutes. The result was faster research, quicker clinical trial enrollment, and less dependence on specialized data-science support.
Book A Custom ConsultationCOMMERCIALIZATION & GROWTH
From Proprietary Research Workflows Into A Revenue-Generating Platform
Many healthcare organizations build valuable internal capabilities that never move beyond their own walls. Foxtrot architected a health research platform for commercial scale, making its workflows adaptable across external organizations, patient populations, and use cases.
The client offered its production-ready applications and proprietary research workflows to external partners creating a new software offering and opening a new revenue stream.
Turn Your Platform Into A Scalable Product
Built By Palantir Foundry-Native Engineers. Grounded In How Healthcare Actually Works.
Our team combines deep Foundry and AIP experience with firsthand work across healthcare data, analytics, quality, research, and operations. We know Foundry the way you know your EHR or core platform, and we build outside it as well, in whatever stack you already run.
That means working through the controls, handoffs, legacy dependencies, and day-to-day realities that determine whether a system gets used after launch.
Every engagement above is live in production. Named clients available under NDA.
Bring Us The Healthcare Problem That Can’t Wait.
Whether critical information is fragmented, an essential workflow is slowing care, or an integrated platform has bigger potential, Foxtrot starts with the real operating problem and builds from there.