200 Million Patient Interactions Later — Vivek Muppalla, Hippocratic AI
Hippocratic AI has conducted over 200 million patient conversations through its Polaris system, designed to proactively call patients—something that rarely happens today due to doctor and time shortages.
The system runs 31 AI models in parallel on each call: one managing the conversation thread and 30 specialist models handling everything from medication review to scheduling. To achieve both safety and speed, they built the entire stack in-house, including custom speech recognition that understands both what patients say and how they say it. They maintain strict error standards—a 1 percent error rate means 100 misdirected patients daily at 10,000 calls, so testing must cover approximately 450 cases to catch that error level.
Vibekollen prepared this summary with AI from the original publication. The content belongs to AI Engineer.
