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Healthcare AI platform with an event-sourced data foundation, voice agents, EHR connectors, and operator workflows.

Amigo is a healthcare AI platform built on a data foundation that absorbs messy, unreliable healthcare data from every source, cleans and unifies it, and makes it available to intelligent systems that act on it - voice agents, EHR connectors, operator workflows, and automated analytics.

The core idea: healthcare data is garbage in, but it doesn't have to be garbage out. The world model scores every fact by confidence, verifies it through automated pipelines, and projects unified state that every system on the platform can trust. The voice agents, the connector runner, the safety monitors - they're all effective because the data underneath them is clean.

Two Deployment Modes

Classic API - Text-based digital health. Chat agents, async voice notes, WebSocket streaming. Best for consumer-facing apps where patients interact through a screen.

Platform API - Enterprise voice and healthcare operations. Phone-based agents with EHR integration, operator escalation, and the event-sourced world model. Built for health systems running real call volumes.

Most deployments use one or the other. Some use both: phone scheduling through the Platform API, patient chat through the Classic API.

Architecture Overview

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Developer Guide - For API reference, SDKs, and implementation details, see the Developer Guidearrow-up-right.

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