AI Execution Layer & Platform Powering Life Sciences

An AI execution layer sits between the systems a life sciences organization already runs and the actions those systems should trigger. It turns clinical, real-world, and commercial data into a specific next best action, delivered inside existing workflows. Vi is the AI execution layer for healthcare, life sciences, and wellness.

Analytics platforms produce insight and audience platforms supply a list. Vi produces action. Most tools stop at a segment, a score, or a dashboard and leave execution to the team receiving it. Vi carries the prediction through to a triggered, governed, measurable action, then feeds the outcome back to improve the next prediction.

No. Vi runs alongside the systems and partners already in place. Productized AI models deploy into existing infrastructure without a rip and replace, and Vi stays model agnostic so organizations can use third party models where those perform best. There is no lock in and no migration required to start.

A next best action is the most valuable step for a specific HCP, patient, or field team at a given moment: which physician to see next, when to shift a message, which patient is stalling between prescription and first fill. Vi predicts it from prescribing activity, clinical indicators, and real-world behavior, then delivers it into the systems those teams already use.

The Vi Data Web draws on 50+ licensed data sources providing more than 71,000 attributes per household, combined with de-identified enterprise data. Prescribing activity and clinical indicators sit alongside search intent, care-seeking behavior, and proximity to treatment or trial locations, which is how eligible patients become visible outside the clinical record.

Yes. Vi is HIPAA compliant and holds HITRUST, ISO/IEC 27001:2022, ISO/IEC 27701:2019, and SOC 2 Type 2 certifications. The Vi Data Web operates on de-identified data, and enterprise partner data is anonymized before use. Full documentation, including our data processing agreement and subprocessor list, is available at the Vi Trust Center.

Vi detects eligibility signals outside the clinical record. Search behavior around symptoms and treatments, care-seeking patterns, mobility, and site proximity surface patients no listing or claims-based audience would reach. The same prediction and orchestration layer serves trial enrollment and commercial patient finding, so one system covers the product lifecycle rather than two disconnected programs.

Vi runs one model across HCP prioritization and engagement rather than separate targeting and outreach tools. It ranks HCPs by predicted likelihood to act, modeling across prescribing activity, clinical indicators, geography, and engagement patterns, then the orchestration layer decides channel, timing, and sequence and delivers next best actions into the systems field teams already use.

Vi shortens the interval between a launch underperforming and someone knowing why. Performance across activation, engagement, and operations surfaces in one view, showing which audiences and channels are producing. The orchestration layer reallocates continuously rather than waiting for a quarterly readout, so course correction happens during the launch.