Prepare AI-ready infrastructure for faster scaling
and secure operations
Build a governed, AI-ready data foundation for
trusted enterprise decisions
Scale from AI Experiments to decision-grade
enterprise intelligence
Build AI-native apps and automated workflows for seamless, scalable digital experiences.
Create branded content at scale
Enabling enterprise-wide decision Intelligence
CI/CD-ready outputs for seamless deployment
Every API your business depends on already has Swagger or OpenAPI documentation. Yet connecting each one to an AI model means writing custom integration code, managing auth, handling errors, and rebuilding the work every time the API changes.
Teams need a bridge that turns existing API contracts into AI-ready interfaces instantly and keeps them in sync as the underlying APIs evolve.
Bring in any Swagger or OpenAPI specification — paste it or point to the URL.
Set authentication and choose which endpoints to expose to AI.
Generate an MCP server URL and link it to any AI model.
Let AI agents call APIs naturally through conversation.
Auto-sync as APIs change, with no integration code to rewrite.
seconds From Swagger spec to a fully AI-ready API connection
Lines of integration code required to AI-enable an existing API
Reduction in time to connect enterprise APIs to AI agents
REST API with OpenAPI documentation becomes instantly conversational
Faster rollout of AI-driven workflows across business tools
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