Generic models weren’t built for clinical complexity. Ours are.
We train AI on rich, real-world medical data, ensuring accuracy, context,
and relevance for you
Emerging Biotech
Validate study findings for key milestones
Efficiently meet regulatory objectives
Reduced time to research cost
Life Sciences
Converge siloed datasets to extract new insights
Identify and pursue opportunities within existing and external healthcare data.
Identify new opportunities
Academia & Healthcare
Test and validate correlation hypotheses with robust AI support.
Create and manage registries with inuitive visual interface
Identify and segment patient cohorts
Faster publication process, improved care
Students
Analyze datasets and run studies without writing code.
Leverage an intelligent assistant performing as a data analyst and epidemiologist.
Your personal AI research assistant
Purpose-built AIRE Agents
Redefine your research journey
Developed by epidemiologists and research experts to support domain-specific methodologies and guidance
“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
“We are so excited about our collaboration with Briya using Researcher AIRE. Incorporating the power of AI into our research and our clinical practice has the opportunity to revolutionize our Medical care.”
Dr. Robert Brown
The Vincent Astor Distinguished Professor of Medicine and Chief of the Division of Gastroenterology and Hepatology at Weill Cornell Medicine
“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
Tomorrow’s AI, with zero risk
Data is never moved
Data stays at the source, no warehouses, no duplication, no risk.
Privacy-First Design
Compliant by default.
Expert determined true anonymization.
Fully aligned with HIPAA, GDPR, and global standards.
Plug-and-Play
Connect across systems and standards with no heavy lifting.
Ensure your research meets FDA, EMA, and other regulatory standards from day one.
Built-in compliance checking, documentation, and audit trails.