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Field notes on AI for the pharmaceutical enterprise

Research, product deep dives, and hard-won lessons from deploying autonomous agents across commercial, medical affairs, and market access.

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Research

Why physician discovery is a recall problem before it is a precision problem

Most HCP databases are built to filter what they already have. We built pharcel to find every clinician active in an indication first, then verify each one against real evidence. Here is the architecture, and why fail-open verification quietly poisons every downstream decision.

Dr. Elena Vasquez·June 2026·9 min read

Rebuilding territory alignment as a nightly job, not an annual project

How treating alignment as continuous optimization returns weeks to every planning cycle.

Marcus Bell·May 2026·6 min read

Medical Affairs

KOL mapping without the guesswork: evidence-scored influence networks

Ranking scientific leaders by publications, trials, and peer network instead of gut feel.

Dr. Priya Nair·May 2026·7 min read

Product

Multi-tenant LLM keys: bring your own model, keep your own usage

Per-org API keys and usage attribution so enterprises control cost and data flow.

Jonah Reyes·April 2026·5 min read

Research

Grounding hallucinations out of HCP verification

Requiring at least one hard evidence source, publication, trial, or institutional profile.

Dr. Elena Vasquez·April 2026·8 min read

Commercial

Next-best-action that a field rep will actually trust

Why explainable, data-grounded recommendations beat black-box scores in the field.

Sofia Lindqvist·March 2026·6 min read

Medical Affairs

Closing the loop between medical insights and commercial planning

Sharing a single HCP graph across MSL, medical, and commercial teams without silos.

Dr. Amir Farouk·March 2026·7 min read

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