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The First Commercial Operating System for Pharma, Powered by Semmelweis

Built by 75. Proven by 5. Launched to the industry. Daily Command orchestrates the entire commercialization journey — physician awareness to filled prescription, every channel and format, including generative AI — and closes the loop from activation to outcome, all from a single intelligent command layer powered by Semmelweis, an AI model purpose-built for pharma.

SHORT HILLS, N.J. , July 14, 2026 /PRNewswire/ — Doceree, the world’s first AI-powered operating system for healthcare marketing, today launched Daily Command, the first operating system for pharma commercialization. Unveiled at Doceree Health Decode: The Makers Summit in May 2026 and proven in a closed beta with five flagship partners, Daily Command is now available to pharma manufacturers, agencies, and publishers in the United States.

Doceree Launches Daily Command: The First Commercial Operating System for Pharma, Powered by Semmelweis

Daily Command replaces the fragmented stack of point tools, disconnected data, and channel silos that have defined pharma marketing for a decade with a single intelligent command layer — one that understands clinical context, reads intent in real time, orchestrates action, and measures outcome across the full journey from physician awareness to filled prescription. At its core is Semmelweis — a pharma-specific reasoning and orchestration model, not a general-purpose one — powered by Clinical Intent Signals (CIS), Doceree’s layer that detects prescribing intent at the moment care decisions are made.

“For twenty years, pharma commercialization has been a collection of tools pretending to be a strategy,” said Harshit Jain, MD, Founder & Global CEO of Doceree. “Daily Command ends that. And we didn’t build it alone, either. Seventy-five of the industry’s sharpest minds built it with us.”

Semmelweis: grounded in clinic, bounded by compliance

Semmelweis is neither a general-purpose model adapted for healthcare, nor a foundation model built from scratch. It uses frontier models for language and reasoning; what sets it apart is the proprietary architecture built around them — one no horizontal model can replicate. The model reasons over the ESPYIAN identity graph of 6M+ verified HCPs, Clinical Intent Signals, patented Triggers™ technology, and 185+ direct EHR integrations, so it understands where a physician sits within a treatment decision rather than inferring intent from demographics. It never accesses patient data, operates solely on de-identified, HCP-level context, and recommends only actions that already fall within medical, legal, and regulatory guidelines — every recommendation advisory, human-approved, fully auditable, and MLR-ready by design.

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