Control
Give the AI a defined authority boundary: allow supported work, require human approval when needed, and deny actions outside the boundary.
ABOUT INDEBASE
Give AI more autonomy without giving up control.
IndeBase is built around a simple idea: companies should be able to let AI do more real work without giving the AI unlimited authority or blindly trusting its own success claims.
WHY IT EXISTS
AI can act. Companies still need control and proof.
AI agents can make mistakes, misunderstand instructions, act outside scope, or report success when the intended result did not actually happen.
IndeBase addresses that gap by controlling what supported agents are allowed to do and independently verifying supported outcomes after execution.
DEEP FOCUS
Control + verification.
Verification
Check the real business system separately and record evidence instead of accepting the acting AI's claim that the job is done.
WHAT THAT MEANS IN PRACTICE
The technical architecture creates simple operating outcomes.
Keeps AI work on track over time
IndeBase preserves the state of governed work so the agent does not have to reconstruct everything from a chat.
Lets people supervise exceptions
Supported routine work can run automatically when allowed, while consequential actions can pause for a person.
Requires evidence before verified completion
For supported workflows, the real outcome is checked separately instead of accepting the AI's own success claim.
Keeps failures visible and contained
Denied, failed, stale, and abnormal states remain part of the operational record instead of disappearing into a conversation.
WHERE IT FITS
One layer in the broader AI control stack.
IndeBase does not try to replace identity, security, monitoring, compliance, model governance, or every other AI-control product.
Its job is narrower: control supported agent actions, preserve the operational record, independently verify supported outcomes, and make failures and approvals visible.
CURRENT PRODUCT
Validated with ChatGPT and Claude, with HubSpot.
ChatGPT and Claude have each been validated in production against the same IndeBase control layer. HubSpot is the current validated business system.
Customers configure authority in the Control Center, keep using the AI interface they already know, and return to the Control Center to approve actions when required or review evidence and results.
FOUNDER
Founded by Alexander Sotomayor.
IndeBase was founded to make it practical to delegate meaningful work to AI while keeping authority, evidence, verification, and final completion under control.