Briya AIRE launches as the first clinical-grade AI platform to accelerate medical & epidemiological research

Let's face it — medical research is a slog. Brilliant minds spend months elbow-deep in spreadsheets and databases, trying to wrangle insights from a mess of clinical records, jargon-stuffed notes, and ever-growing piles of raw data. That's where Briya AIRE steps in.

This isn't just another AI tool tacked onto the health tech hype train. Briya AIRE is the first clinical-grade AI research assistant built specifically for medicine, biopharma, and epidemiology. It speaks fluent clinic-speak, understands the nuance in doctor notes, and — frankly — thinks like a researcher. As Dr. Robert Brown from Weill Cornell Medicine put it, "Using AI to collate patient data and clinical evidence will allow physicians to make better decisions... while reducing administrative burden."

Briya calls it an AI "Research Environment." But let's be real — it's a brainy sidekick built for the trenches of life sciences.

How does it work?

Briya AIRE is more than just a fancy chatbot. Think of it as your resident epidemiologist and data analyst, minus the white coat and student debt. Here's what it brings to the lab bench:

• Talks like a human, thinks like a scientist: Researchers can ask questions in plain English. AIRE translates them into precise clinical terms, drawing on structured and unstructured data — from databases to scribbled doctor notes.
• No code required: Forget SQL or R. AIRE handles the heavy lifting behind the scenes, letting scientists focus on asking the right questions.
• Automatically finds the signal in the noise: It builds patient cohorts, tests hypotheses, refines study protocols, and highlights patterns that could've slipped through the cracks.
• Evidence-backed suggestions: The system doesn't hallucinate. Its insights are rooted in published medical studies and peer-reviewed literature.
• Secure and compliant: Built on Briya's secure infrastructure, it meets both U.S. and European data privacy standards. So patient info stays locked down, as it should.

Dr. Gadi Lalazar from Shaare Zedek Medical Center nailed it: "This ability to automatically analyze imaging reports opens the door to earlier interventions for high-risk patients." In this case, he's talking about those with MASH, a liver disease that's hard to pin down without laborious manual work.

Why does it matter?

The medical world doesn't lack data — it's drowning in it. What it lacks is time. And clarity. And tools that can actually keep up with the pace of scientific discovery. Briya AIRE flips the script by:Cutting down research timelines from months to minutes

• Allowing non-technical researchers to explore datasets without learning a programming language
• Prioritizing clinical relevance, not just statistical significance
• Enabling earlier diagnosis in complex diseases like MASH, cancer, and cardiovascular disorders

In a sector where delay can mean life or death, speed and accuracy aren't perks — they're lifelines. As CEO David Lazerson put it bluntly: "Life-saving research should never be delayed because researchers and physicians are expected to become program coders."

The context

We're standing at a crossroads. AI in healthcare has come a long way, but most tools still feel like square pegs in round holes — designed for generic use cases, then retrofitted for clinical work.

What Briya AIRE does differently is start from the clinic and build outward. It's tailored for epidemiologists, hospital researchers, and biopharma scientists, not data scientists moonlighting in medicine.

And the timing? Spot on. As healthcare systems reel from burnout, administrative drag, and ever-rising complexity, AIRE doesn't just offer a faster way to work — it gives experts more time to think.

It's not just about making research quicker. It's about making it smarter, safer, and more human.