How Syntropy works
Designed to the highest security and privacy standards, Syntropy provides a trusted environment to meet all the major challenges of data management, governance, stewardship and sharing that healthcare organizations face today. By enabling collaboration on data without ever taking ownership of it, we aim to serve the collective higher purpose of accelerating research into devastating disease.
Data Creator
Research Organizations
Syntropy addresses the crucial data needs of research institutions and clinical care centers, with curation capabilities that unlock powerful use cases enhancing research and patient care.
Within the Syntropy platform, data is an evolving asset, incorporating analyses from every researcher and clinician who handles the data to ensure its value and impact compound over time.
Data Collaborator
Institutional Partners
Syntropy works with research institutions to master their data. Our unique platform affords data creators full control and attribution in a trusted and secure environment, streamlining partnerships by solving legal and contractual challenges.
Through these partnerships, life science companies gain access to unparalleled high-fidelity data that captures its full context and the irreplaceable first-hand acuity of its creators. And even in hard-to-track patient populations, partners can aggregate fit-for-purpose cohorts for precision studies.
What Syntropy enables
Research Organizations
Accelerate Scientific Discovery
Identify novel and predictive disease biomarkers, mechanisms of action and treatment-resistance pathways.
Improve Patient Observation
Molecular and outcome monitoring, disease pattern examination and therapeutic efficacy observations.
Optimize Operations
Transform case data across departments and institutions into common data models to supplement existing databases.
What Syntropy enables
Institutional Partners
Fast-track Drug Discovery
Identify target biomarkers and inform translational research design.
Accelerate Clinical Development
Clinical trial data integration, response prediction, label expansion and pragmatic trial or synthetic controls. Create dynamic, choice cohorts for specific use cases.
Reinforce Post-Launch Surveillance
On-market support, effectiveness monitoring, pharmacovigilance data and competing therapy identification.