Life Sciences
Clinical, regulatory, and commercial teams shouldn't have to choose between an analytics backlog and a data science hire. Your competitors aren't waiting.
the problem
The data exists. The platforms to use it don’t. Trial teams run studies from spreadsheets while timelines slip. Biopharma teams wait months for analytics that arrive after the decision has already been made. And the AI meant to fix all this mostly never makes it out of the pilot phase. The cost compounds at the worst possible moment: delayed programs, slower submissions, and evidence gaps right at launch, when the stakes are highest.
You don’t have a data problem. You have an access-to-your-own-data problem, and it’s quietly setting the pace of your timelines.
operational data that goes unanalyzed
months-long waits for clinical analytics
AI pilots that never reach production
how Hiive helps
Hiive brings analytics, data infrastructure, and workflow automation to biopharma teams across three areas:
Patient Identification & Matching
Find the patients who match your protocol across fragmented provider data, including the ones whose records do not line up cleanly. Matching works across FHIR, HL7, CDA, and flat files, so a site’s data format is not what disqualifies it.
Clinical Trial Access Acceleration
Identify eligible patients earlier, and see where enrollment is actually stalling site by site, while there is still time to do something about it.
Commercial Therapy Access
See where coverage, authorization, and eligibility slow patients getting onto therapy, and which payers and sites are driving the friction.
proof
Hiive AI Insights is built on a platform with 8 years of production AI history in large, data-intensive environments. It connects to your existing EDC and CTMS systems without requiring a re-platforming effort.
platform maturity
8 years of production AI in large, data-intensive environments.
fits your stack
works with leading EDC and CTMS systems and major data environments.
governed & audit-ready
HIPAA and SOC 2 Type II, with full lineage on every model and decision, so nothing happens in a black box.
