Explore Faster. Discover More. Act with Precision.
Unlock self-service analytics and real-world insights with Precision360™ - built to power discovery at scale.
Molecular Intelligence
Meets Real-World Context
Precision360™ is ConcertAI's enterprise-grade real-world data environment designed for life sciences discovery. Built on the industry's largest oncology dataset, it provides researchers with multi-modal, deeply curated data - ready for self-service exploration, cohort building, and scientific generation. Whether you're advancing hypotheses, modeling disease burden, or validating endpoints, Precision360 gets you there faster.
Key Benefits of Precision360™
Fast
Precision360’s AI-curation means updates under 7 days, with a recency of under a week; no more waiting for quarterly updates.
Broad
Data on 9M patients across 900 sites of care, including representation in all setting types, 48 states, and sourced from multiple EHR systems.
Representative
Unlocks the ability to exactly match your I/E criteria or label to the patients of interest, including tailored cuts by diagnosis, treatment, biomarker expression, and more.
Insightful
EHR and genomics data is matched and integrated with open claims data, SDoH and is available in Precision Suite cross-referenced with site data and publications.
Core Capabilities of Precision360™
Multi-modal Data Environment
EMR, Claims, Genomics and More
- Structured EMR with 200+ variables across 9M+ patients
- Integrated claims and SDoH data for complete context
- Genomics, biomarker, lab, and imaging integration
- Supports research-grade and hypothesis-driven research
Interoperability + Governance Ready
Built for Scale and Compliance
- HIPAA compliant and de-identified by expert determination
- Compatible with enterprise data science tools
- Supports rapid onboarding with analysis ready data structure
Where Discovery Becomes Actionable
Epidemiology analysis
helps uncover incedence, prevalence, and demographic trends across disease areas.
Burden of illness studies
explore comorbidities, therapy cost, and healthcare utilization patterns across patient segments.
Natural history modeling
allows tracking of patients from diagnosis through multiple lines of therapy to understand real-world progression.
Biomarker stratification
supports insights into testing rates, mutation presence, and downstream treatment behaviors.
Endpoint validation
aligns real-world outcomes to trial endpoints - supporting RWD in submission packages.
