Welcome

Amigo builds cognitive infrastructure that lets organizations deploy reasoning-focused AI with the same discipline they apply to any other critical system. Our mission is to systematically improve human outcomes through reliable AI deployment.

We specialize in building patient-facing AI agents that deliver care directly to individuals while seamlessly augmenting existing care teams. These agents handle critical interactions—from initial patient engagement and triage to ongoing care coordination and follow-up—functioning as intelligent extensions of healthcare organizations' clinical workforce. By partnering with mission-critical sectors like healthcare, we create infrastructure that enables care teams to scale their expertise, maintain quality standards, and reach more patients without compromising the personal touch that defines excellent care.

We typically start by deploying AI systems that initially match the performance of your existing clinical workforce, then discover what drives patient outcomes through quantitative methods, and ultimately scale those learnings to your agent workforce within bounded operational domains. Our agents don't replace human judgment; they amplify it—handling routine tasks autonomously while escalating complex cases to human experts, all while learning from every interaction to continuously improve care delivery.

Our Approach

We follow a systematic methodology that builds trust while accelerating progress:

1. Match existing performance - We start by exactly replicating existing workflows to build trust

2. Discover what drives results - We use quantitative methods to identify which variables actually impact outcomes

3. Prove before deploying - Every improvement is verified through simulation and statistical testing

4. Scale within bounds - We expand proven improvements within explicit operational constraints

Like Waymo's approach to autonomous driving, we prioritize reliability in well-defined domains rather than pursuing a high-risk "do it all" approach. This methodical, safety-first philosophy ensures our systems are thoroughly validated before expanding their scope, providing organizations with AI solutions they can confidently implement.

The Trust Framework

Despite enormous potential, AI adoption faces one critical barrier: trust. We define trust as confidence that an AI system will reliably act in alignment with an organization's goals and values, built on four pillars:

1. Controllability: Human ability to train, adjust, and intervene in agent behavior

2. Performance Validation: Quantifiable success before deploying in high-risk settings with real people

3. Real-time Observability: Transparent operations for monitoring and verification

4. Continuous Alignment: Adaptation to changing organizational priorities & regulatory environments

Speed of Execution

Our system delivers three decisive time-based advantages:

• Time to Trust: Reducing verification timelines from months to hours through high-fidelity simulations and transparent, inspectable AI reasoning

• Time to Value: Deploying agents in weeks rather than traditional six-month cycles

• Time to Flywheel: Establishing a rapid self-reinforcing improvement cycle where data drives enhancement, leading to broader adoption

How to Use These Docs

• Need the high-level picture? Start with Amigo Overview for the platform map and design philosophy.

• Designing an agent? See Agent Core, Context Graphs, and Functional Memory for implementation guidance.

• Validating or operating the system? Review Evaluations and Safety for verification and governance.

• Looking up a term? Use the Glossary for concise definitions before diving into the deeper theory.

• Exploring the theory? Visit the Advanced Reference for position papers and measurement-first design rationale.

To see our product & platform overview, please start with our Overview:

Amigo Overview

To see our API documentation, please refer to our Developer Guide:

Developer Guide