AI ProductsB2B CollaborationsMonetization

Google Health Partnership

Collaborated with Google to supply high quality, validated clinical content as training data for Google's health AI and LLM initiatives.

Content categories delivered included drug monographs, drug-drug interaction data, disease content, and ban and recall regulatory safety data.

Led cross-functional stakeholder management across data schemas, governance standards, and delivery frameworks to meet Google's specifications.

Google Health Partnership

The Challenge

  • Google's requirements for AI training data demanded clinical accuracy, structured formatting, and verifiable regulatory provenance — a significantly higher bar than typical content partnerships.
  • Coordinating delivery of multiple content types from different internal systems into a unified export pipeline.

The Approach & Solution

  • Leveraged the CMS and API infrastructure built for the Elsevier partnership to package and deliver clinical data at the required scale and quality.
  • Coordinated cross-functional stakeholder alignment across content, data, and partnerships teams to meet Google's delivery specifications.

Key Results & Commercial Impact

$500,000 commercial contract, packaging clinical content as LLM training data for Google Health.
Clinical monographs, DDI data, disease content, and ban/recall data delivered to Google for health LLM training.
Partnership established Tata 1MG as a verified clinical data supplier for a global AI system.
Infrastructure reuse across Elsevier and Google partnerships demonstrated scalable, multi-revenue-stream content architecture.

Technology Stack & Tools

CMS (internal)AppScriptsGoogle Docs
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