MAYA knows your business well enough to speak for it, and smart enough to know when to hand you the phone.
Local-first, permissioned AI products built by 2ndNatureAi.
MAYA is a trustable AI operations layer designed to help teams respond, route, organize, and follow up using their actual business context while keeping human control visible.
Our standard is straightforward:
- Context before response so AI receives the information that matters for the current task.
- Permission before action so tools operate within explicit, reviewable boundaries.
- Evidence after execution so important results can be inspected instead of merely trusted.
- Human handoff when judgment matters because useful automation should know where its authority ends.
A local, reviewable behavior-calibration layer that helps AI match a user's tone, correction style, task mode, and tool-restraint preferences before responding.
View source · Latest prerelease
A local static repository ZIP analyzer that turns source structure, safety signals, and implementation evidence into a readable decision brief without executing the repository.
View source · Latest prerelease
These repositories are focused public beta products in the broader MAYA ecosystem. The platform's private operating architecture remains under active development and controlled review.
Public releases are bounded, versioned, and independently testable. They are not claims that the full MAYA platform is generally available or operating as a hosted production service.
2ndNatureAi
Context before response. Permission before action.
