A scientific AI research environment that turns healthcare data into robust, reproducible evidence.
One scientific workflow from fragmented data to defensible evidence.
Connect your and your clients’ repositories, the Briya data network (120M+ patients) and other RWD vendors in one environment delivering reproducible evidence with defensible methodology.
Reproducible analyses with traceable sources, ready for proposals, publications and regulators.
Take on more client work without proportional headcount growth.
Support smaller and mid-size clients with self-serve, expert-backed research workflows.
Differentiate proposals with scientific Al, faster feasibility, and stronger study plans.
Streamlined access to multi-source, internationally sourced real-world data.
Expand study throughput with existing RWE, HEOR and analytics teams.
Generate reproducible evidence faster for study design, endpoints and portfolio decisions, and turn underused proprietary clinical data into research evidence, inside governed, traceable workflows.
Define populations, work with complex clinical data and run advanced statistics in natural language while staying in control of the methodology. Move from public and clinical datasets into research without weeks of preparation, and publish analyses built to withstand scrutiny.
Give researchers and analysts more capacity to use fully de-identified institutional data for research and collaboration, with sensitive data staying inside your environment. Open new industry-sponsored research opportunities through a trusted research environment.
AI that works the way research works.
AIRE was developed to assist epidemiological research, not to replace it. It moves with your team step by step through the methodology, and every output traces back to the method and the source data.
Researchers stay in the loop at every decision point. AIRE proposes, documents, and executes; your team directs.
One environment harmonizes your and your clients’ data, Briya data, and any additional source. That means you can contrinue working with existing vendors.
Any analysis can be re-run to the same result, with data sources and versions traceable to suit regulatory and publication requirements.
Healthcare-specific NLP extracts signal from free-text reports and notes as reliably as from structured fields, closing the gaps that structured EHR data leaves behind.
Secure cloud enclaves, anonymization, and access controls are foundational to the architecture, not dded on.
What teams have done with AIRE
NLP-enhanced curation captured 92.2–98.6% of aspirin-use cases in pregnancy, revealing a more complete medication history than structured documentation alone.
Using NLP on abdominal ultrasound reports, researchers expanded the fatty-liver cohort by 360%.
Researchers combined EMR and pathology data and used NLP to extract staging and tumor markers for oncology cohort research.
“The ability to interrogate trusted datasets conversationally while seeing each methodological step has the potential to significantly reduce the friction between question formulation and evidence generation.”
Prof. Jordan Weiss PhD
Assistant Professor, Optimal Aging Institute at NYU Grossman School of Medicine
“We are proud to integrate Briya AI Copilot into the research ecosystem at Casa Sollievo della Sofferenza. With Briya AIRE, our investigators can rapidly assemble registries, test hypotheses, and design studies without the need for coding. This marks an exciting new phase in our collaboration with Briya and a meaningful step forward in our mission to harness data for the advancement of healthcare.”
Francesco Giuliani
Head of Research and Innovation Department at Casa Sollievo della Sofferenza
“With the growing global prevalence of MASLD, identifying patients with significant liver fibrosis has become a critical unmet medical need. Using Briya’s advanced NLP capabilities, we can accurately identify patients with “at-risk MASH” (fibrosis stage ≥ F2), directly from unstructured clinical data. This enables timely referral to hepatology and access to emerging treatments.”
Gadi Lalazar, M.D.
Director of Hepatology
at Shaare Zedek Medical Center
AIRE is a Scientific epidimiological AI with no hallucinations, that works with the researchers step-by step through the methodology.
AIRE is a Scientific epidimiological AI with no hallucinations, that works with the researchers step-by step through the methodology.
AIRE is a Scientific epidimiological AI with no hallucinations, that works with the researchers step-by step through the methodology.
AIRE delivers more capacity and faster delivery with lower operating costs. Teams take on more client studies without proportional headcount growth because data preparation, harmonization and analysis coding that used to take weeks are handled inside the environment, with researchers directing the science.
Yes. AIRE is data-agnostic. It harmonizes your existing repositories, your clients’ data, Briya’s data network and any additional vendor data in one environment, so current data partnerships continue to work.
AIRE is HIPAA and GDPR compliant and uses Expert Determined de-identification. Data stays under institutional control with anonymization, access controls, audit trails and human scientific oversight built into the architecture.
Join us for a session about how scientific AI closes the gaps claims data leaves behind, building more defensible cohorts and stronger evidence.
Real-World Data Expert
(ex Beghou & IQVIA)
Medical Research
Solutions Lead
Briya
