Briya Co-Pilot:
Unlock Patient Data, Instantly
Bridging the Gap Between Research Questions and Data Insights
Bridging the Gap Between Research Questions and Data Insights
Accelerate the process of defining and refining precise study populations, enabling researchers to quickly explore and iterate
Eliminate repetitive data preparation bottlenecks and empower teams to focus on higher-value analytics and insights
Rapidly assess study viability with near-instant insights. Empower your team to move from idea to meaningful results in record time.
From idea to ideal cohort
Visualize your population. Spot trends at a glance.
AI-powered recommendations for better research precision.
From fragmented to full picture—structured and unstructured data combined.
Type your research question in plain language as you would in an email or report
See immediate output for analysis Data retrieved across structured and unstructured data sources, presented in graphs for comprehensive data feel
Instant insights to enhance research Context driven AI to optimize data quality, completeness and provide feedback based on relevant previous research
Find & analyze treatment gaps, detect patterns in underdiagnosed conditions, and discover therapeutic opportunities across populations and geographies.
Rapidly evaluate off-label usage trends and population eligibility across diverse real-world datasets to inform label expansion strategies.
An Intelligence layer over your proprietary clinical trials, RWE, and customer databases to simplify and expedite the process of answering common research question
Integrate and normalize data from clinical trials, CROs, registries, and EHRs in one interface. Co-Pilot abstracts the technical heavy-lifting, creating a unified schema and semantic layer.
Instantly visualize population distributions by age, gender, ethnicity, diagnosis stage, and treatment journey. Drill down by geographic location, care setting, or biomarker presence.
Run custom market scans to uncover emerging players, unmet needs, or underutilized therapies across networks. Identify where the science and market momentum align.
Validate early-stage feasibility & hypotheses with real-world data in minutes, whether it’s checking a biomarker prevalence or disease trend.
Instantly explore disease incidence & prevalence trends, comorbidity, and treatment outcomes among specific and sub populations.
Access to real-time or near-real-time data shortens the loop between data collection, analysis, and publication
Use natural-language prompts to surface patient subsets with multi-modal data, like genomics, imaging, and pathology, across real-world cohorts.
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