The scientific AI evidence generation environment for life science teams
Take on more client work without proportional headcount growth.
Differentiate proposals with NLP-enhanced scientific AI, faster feasibility, and stronger study plans.
Support smaller and mid-size clients with 
self-serve, expert-backed research workflows.

Streamlined access to multi-source, internationally sourced real-world data.
Connect data from one or multiple sources including: 

The Briya AIRE process:
AIRE automatically standardizes to FHIR/OMOP, matches patients via tokenization, and harmonizes structured and unstructured data through NLP.
Research-ready data for:
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.
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.
AIRE is a Scientific epidemiological AI with no hallucinations, that works with the researchers step-by step through the methodology.
One environment harmonizes your data, Briya data and any additional data source together. That means you can continue working with any existing data vendors.
Everything is fully reproducible and the data sources traceable to suit strict regulatory requirements.
Extracts signals from free-text reports and notes as reliably as from structured fields, closing data gaps.
Secure cloud enclaves, anonymization, and access controls are foundational to 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
Â
(ex Beghou & IQVIA)
Medical Research
Solutions Lead
Briya
