Welcome
At Amigo, our mission is clear: build safe, reliable AI agents that organizations can genuinely depend on. We've developed a proprietary agent architecture and built a robust platform to enable enterprises to safely create, train, and deploy expert agents into high-stakes frontline use cases.
The Partnership Model
Amigo operates on a clear division of responsibilities: you bring your expertise to define agent behavior, success criteria, and simulation scenarios, while our platform and team help you build an efficient, recursively improving AI system that evolves until we exceed your performance benchmarks.
Similar to 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 three pillars:
Controllability: Human ability to train, adjust, and intervene in agent behavior
Continuous Alignment: Adaptation to changing organizational priorities & regulatory environments
Real-time Observability: Transparent operations for monitoring and verification
Speed of Execution
Our system delivers three decisive time-based advantages:
Time to Trust: Reducing verification timelines from months to hours through 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 wider adoption
To see our product & platform overview, please start with our Overview:
To see our API documentation, please refer to our Developer Guide:
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