Reliable API execution for AI systems.
Aqueduct connects AI systems to external APIs and handles the infrastructure required to execute real actions reliably.
Authentication, request construction, validation, retries, provider differences, and verified results through one controlled execution layer.
Built for AI applications that need to do more than generate responses.
req_0042“Schedule a meeting with Sarah tomorrow at 2 PM.”
create_calendar_eventTHE EXECUTION GAP
AI can understand the task.
Execution is still brittle.
Giving an AI access to an API sounds simple.
In production, every integration introduces authentication, schemas, permissions, provider-specific rules, rate limits, retries, webhooks, inconsistent errors, and uncertain outcomes.
Engineering teams end up rebuilding the same execution infrastructure around every provider.
Every provider becomes a separate integration system to build and maintain.
CORE TECHNOLOGY
One controlled layer between intent and execution.
Your AI system decides what action should happen.
Aqueduct handles what comes next.
VALIDATE
Structured action contracts
Every action uses defined, typed inputs and provider-native schemas instead of relying on a model to improvise API requests.
create_calendar_eventcalendar_idprimary✓start_time2026-08-09T14:00✓end_time2026-08-09T14:30✓attendeessarah@company.com✓titleProject review✓The model reasons. Aqueduct executes.
AQUEDUCT
Build AI that can reliably take action.
If your product needs AI to interact with real applications, Aqueduct provides the controlled execution infrastructure between model intent and external systems.
Spend less engineering time maintaining provider-specific integrations and more time building the intelligence that makes your product valuable.