What You Should Know
- Health AI technology company Briya finalized a strategic partnership with InterSystems, a creative data technology provider powering more than one billion health records globally.
- The collaboration integrates Briya’s end-to-end AI research platform, Briya AIRE™, directly over InterSystems’ data infrastructure and IRIS platform, allowing researchers to query complex, longitudinal datasets using simple natural language.
- To adhere strictly to rigorous GDPR and HIPAA frameworks, the integrated solution utilizes Briya’s secure “Research Rooms,” featuring a decentralized, federated data approach and automated anonymization.
- The turnkey integration bridges the longstanding clinical barrier between massive, siloed data stores and life sciences researchers, accelerating real-world evidence (RWE) generation and cohort design.
- The unified platform, which features specialized AI agents to automate data cleaning and hypothesis testing, was formally demonstrated during a live infrastructure debut at the global InterSystems READY 2026 summit.
The life sciences and pharmaceutical sectors are currently navigating an ironic data paradox. While electronic health records, diagnostic registries, and remote physiological streams contain an unprecedented volume of longitudinal patient data, up to 80% of this information remains locked inside siloed environments and unstructured text. Historically, converting this raw data into research-ready Real-World Evidence (RWE) required extensive, manual coding and labor-intensive data cleaning, slowing the velocity of medical discovery.
Compounding this challenge is the fact that data privacy frameworks have become increasingly strict globally. In a highly regulated ecosystem governed by rigid GDPR and HIPAA frameworks, sharing or centralizing multi-source clinical data introduces severe legal, operational, and ethical liabilities.
To bridge this operational gap and transform fragmented databases into accessible systems of action, health AI pioneer Briya has announced a strategic partnership with InterSystems. By layering Briya’s conversational interface and agentic research engine directly over InterSystems’ unified data foundation—which currently powers more than one billion health records across 80 countries—the collaboration establishes a secure blueprint for next-generation clinical curation.
Eliminating the “Integration Tax” via Conversational Curation
Biomedical researchers have traditionally been isolated from the very datasets they need by a heavy layer of technical complexity. Designing a patient cohort or validating a therapeutic endpoint typically required drafting custom database scripts and waiting weeks for data engineering teams to execute them.
The integration of Briya AIRE™ (AI Research Engine) with the InterSystems IRIS data platform addresses this friction by introducing conversational intelligence to the data layer. Armed with nine purpose-built, specialized AI agents, the platform acts as an intelligent virtual epidemiologist and research assistant. Researchers can utilize standard natural language to instantly query incredibly complex, multi-source medical records.
By eliminating the need for manual script writing or tedious data preprocessing, the system compresses multi-week data exploration cycles into live, real-time interactions. Guy Tish, Co-founder and CTO of Briya, emphasized that the partnership delivers a streamlined, compliant bridge that connects massive, fragmented data stores directly to the clinical minds pushing the frontiers of precision medicine.
Decentralized Infrastructure and “Research Rooms”
To satisfy global regulatory bodies and hospital privacy boards, the integrated platform rejects the traditional, high-risk model of centralized data aggregation. Instead, it relies on a highly advanced, zero-trust framework built on two core components:
A Federated Data Approach
Briya’s architecture allows patient data to remain safely behind the local firewalls of the parent healthcare organization. The AI agents are deployed directly to the data source, processing queries and returning aggregate clinical insights without ever moving or exposing vulnerable Protected Health Information (PHI).
Highly Compliant “Research Rooms”
For deep retrospective studies, the system provisions secure, remote data access environments known as Research Rooms. These environments pair automated, clinical-grade de-identification with end-to-end auditability. This setup enables remote teams to harmonize and analyze diverse, unstructured patient histories while upholding absolute patient anonymity.
Eyal Shuryan, Country Sales Manager at InterSystems, highlighted that this combination allows organizations to maximize the utility of their data for research and informed decision-making without compromising security boundaries.
Navigating the Core Software Freeze
The strategic alliance between Briya and InterSystems identifies a major macroeconomic shift defining the health technology market. Recent data confirms a staggering 40% year-over-year contraction in traditional acute care EHR purchasing energy, as hospital systems aggressively freeze spending on core software upgrades. Enterprise leaders are instead routing capital directly into the Medical Intelligence Layer—turnkey, AI-native platforms capable of extracting immediate clinical value, financial return, and operational efficiency from their existing software footprint.
Simultaneously, with nearly 80% of healthcare payer and life sciences executives abandoning internal AI engineering in favor of vendor co-development, the industry has universally embraced the premium on structural realism. Organizations have realized that their core competency is delivering care and commercializing therapies, not training large language models from scratch. Briya and InterSystems are delivering the definitive infrastructure required for this new era.
