Scope stays explicit.
A Core keeps model choices, instructions, datasets, and tools together in one visible setup.
About Satinash
AI should show its work.
Our goal is simple: make team knowledge useful without hiding the scope, sources, tools, or operating choices behind the result.
Why we are building
Useful answers need visible boundaries.
Teams already have files, sites, models, and tools. The hard part is deciding what belongs together, who can use it, and how someone can inspect the work afterward.
Satinash keeps those decisions explicit through reusable Cores, scoped datasets, controlled tools, and workspace evidence when sources or actions are used.
Product principles
Clarity before automation.
Knowledge and tools stay distinct.
Indexed sources ground an answer. Live tools look up or act. The product should not blur the two.
Evidence earns trust.
When work uses a source or tool, people should be able to inspect what contributed to the result.
Operators keep control.
Permissions, connector health, model access, schedules, and recovery paths remain visible product concerns.