IVPharma & Life Sciences
AI built for the regulated
edges of biopharma.
Pharmaceutical and life sciences organizations operate under GxP, FDA, and privacy regimes that make generic AI tools structurally unusable. Cara partners with pharma manufacturers, CROs, and commercial operations teams on workflows where AI can compress meaningful time — patient support enrollment, HCP engagement, trial intake, RWE generation — without taking shortcuts on regulatory posture.
Sub-practices
Where our work tends to sit.
Patient Support Programs
Copay, hub, and PAP programs. AI inside patient enrollment, benefits verification, adherence, and outcomes tracking.
HCP Engagement
Field-force enablement, HCP portals, and MSL-driven engagement. AI that respects promotional rules and HCP workflows.
Clinical Trials
Trial protocol authoring, site activation, patient recruitment, and eCRF operations. AI inside the operational machinery of trials.
Real-World Evidence
RWE generation from EHR, claims, and registry data. AI that accelerates cohort construction, endpoint extraction, and study design.
Commercial Operations
Field targeting, incentive compensation, brand analytics. AI inside the commercial operations of a brand launch.
Medical Affairs
MSL teams, medical information, and publication planning. AI for medical-information response, literature surveillance, and scientific communications.
Patterns
Where Cara sits in the work.
A representative flow — not a template. Every engagement shapes its own pattern around the partner’s actual constraints.
Example engagements
Patterns we keep seeing.
Patient support enrollment automation
AI that runs benefits verification, processes enrollment forms, and coordinates insurance and copay logic — compliant with PSP regulatory requirements.
HCP portal & engagement
HCP-facing portals with AI-assisted medical information, sample requests, and educational content — within promotional and MLR guardrails.
Clinical trial intake & screening
AI that reviews potential-patient records against trial inclusion/exclusion criteria and surfaces eligible candidates to investigators.
RWE cohort construction
AI-assisted cohort identification from EHR and claims data — with the audit trails RWE studies require.
Adverse event surveillance & MedInfo
Agents that triage MedInfo inquiries, draft responses, and flag potential AEs for PV review — GxP-aware.
“The hardest AI engineering in life sciences is not the model. It is the regulatory posture the model has to operate inside.”