Orchestrators / Life Sciences / AI Real World Evidence
Collects patient-reported outcomes and Phase 4 evidence at scale.
Validated PRO instruments administered in natural conversation; Phase 4 and post-marketing follow-up campaigns at protocol intervals; registry outreach and completion; structured write-back to EDC/CRM with labs-and-vitals interpretation and benchmark-grade form accuracy; multilingual reach into the populations studies usually lose; AE capture embedded in every evidence call.
Evidence at population scale: Label expansion, payer negotiation, and safety commitments all rest on longitudinal patient data that is uneconomical to collect by hand – voice AI collapses the cost per completed instrument.
Representativeness: Reaches the longtail patients who never answer portals, so the dataset looks like the treated population.
Everyone wants real-world evidence; nobody wants to make ten thousand phone calls a quarter. So RWE gets assembled from claims exhaust and the sliver of patients who tolerate apps – data that’s cheap where it’s thin and thin where it matters. This product makes the phone calls. It administers validated instruments as a conversation an eighty-year-old actually finishes, on schedule, in her language, and writes the structured result home without a transcription step. The patients who never appear in portal-collected data – older, rural, non-English-speaking – are exactly the ones a phone call reaches, which is what makes the resulting dataset more persuasive and differentiated.
