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Saram ConsultingThoughts and strategies on the intersection of Biotech, Artificial Intelligence, and Regulatory Compliance.
Life sciences companies spend millions on commercial MDM suites they don't need. Here's the open-source architecture that delivers the same golden records, passes FDA audit, and costs a fraction — built entirely on PostgreSQL, Kafka, and commodity hardware.
Read Article →Multi-agent systems are the most overused and most misunderstood pattern in AI architecture. Most teams build them when a single agent with better prompting would outperform their five-agent Rube Goldberg machine. Here is how to design multi-agent systems that actually earn their 15x token cost — and how to know when you should not build one at all.
Read Article →Nadella just named the structural problem every enterprise AI deployment faces: you pay for intelligence twice — once with money, and again with the institutional knowledge you leak through every correction, trace, and eval. Here's the architecture to fix it.
Read Article →A week's worth of deep technical work — 20 posts covering RAG architecture for regulated documents, the MCP gateway pattern, multi-agent hallucination defense, LLM caching economics, and a rigorous stress-test of Google's Open Knowledge Format for life sciences quality systems.
Read Article →MasterControl's new Catalog product promises a 'single source of truth' for life sciences master data. The problem is where that truth lives. When you build your data architecture inside a vendor's platform, you don't own your most critical enterprise asset — you rent it. Here's why that matters more than ever in the AI era.
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