PAI helps healthcare and life sciences teams turn the 80% of hidden data buried in clinical narratives into insights they can act on.
Stay in the knowPAI exists to fundamentally change how healthcare and life sciences organizations engage with unstructured data.
The traditional mindset assumes that clinical narratives, pathology reports, referral letters, or even physician dictations are too risky, too inconsistent, or too labor-intensive to use at scale. Teams are forced to choose between rich, complete information and operational feasibility. So they ignore it—leaving their most valuable data locked away in free text.
We reject that.
Structured data only tells part of the story. The nuance—the social determinants, the subtle symptoms, the real-world variation in patient response—is almost always documented in unstructured form. And it’s being left on the table.
PAI turns narrative chaos into structured power—at scale and with depth. We extract the details that matter, preserve the relationships that give them meaning, and transform raw, messy, unstructured data into high-value assets that fuel discovery, drive decisions, and move work forward—faster.
When unstructured data becomes usable, we see a world where:
Healthcare and life sciences can’t afford to leave 80% of their data untapped. PAI, they no longer have to.
PAI exists to:
Give teams the ability to see the whole picture with clinical intelligence
With the full picture, care teams can cut the 10–20% of adverse events that go undetected, avoid millions in preventable costs, and recover lost revenue.
Keep critical context intact
Preserve timing and reasoning to deliver precise, context-rich insights that protect patients and your bottom line.
Share data across organizations
Turn unstructured notes into useful data that can be shared across systems and organizations, unlock revenue, and cut hidden costs.
Ship treatments faster
Every day of delay can cost up to $1 million in lost revenue. With PAI you can accelerate trial matching, approvals, and launches.
“It’s difficult and time-consuming to get access to unstructured data, but once we have it, there are so many things we could do.”
- Digital Health Researcher
“There’s a number of research initiatives looking at unstructured data and trying to pull out insights and diagnoses... we’re still in our research space, struggling to get access to unstructured data.”
- Digital Health Researcher
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