INVESTORS
HUATRA turns authorization, execution, oversight, incident, and remediation records into bounded accountability evidence for independent review. The target model is one shared Accountability Core with three vertical accountability views: Pridicta, Sonolock, and Zeravue.
static investor context
Agents now hold identities, tools, permissions and long-running tasks. Authorization, execution and human-intervention records are spread across IAM, runtime, approval and tool systems. Months later, it is hard to reconstruct why an agent had authority and what actually happened.
In the target model, HUATRA is designed to organize evidence context across visual and synthetic-media provenance, voice-agent provenance and disclosure, and agent review and accountability oversight. The current public site presents intended record views for human review; live integration and delivery remain deferred.
HUATRA is accountability evidence infrastructure for autonomous work. It does not run agents, make ALLOW or DENY decisions, or provide legal or compliance adjudication.
Agents now hold identities, tools, permissions and long-running tasks. Authorization, execution and human-intervention records are spread across IAM, runtime, approval and tool systems. Months later, it is hard to reconstruct why an agent had authority and what actually happened.
The target model is one shared Accountability Core and three vertical accountability views: Pridicta, Sonolock, and Zeravue.
Pridicta is the first vertical slice. The public site is informational; product access is by approved invitation only.
As autonomous work expands, teams need records that retain context beyond the system that produced them.
HUATRA's target model is designed for third-party review while preserving the limits of each record.
HUATRA turns records from autonomous systems into accountability evidence that third parties can independently review.
HUATRA does not run agents, make ALLOW or DENY decisions, or provide legal or compliance adjudication.
HUATRA turns the authorization, execution, oversight, incident and remediation records produced by autonomous systems into accountability evidence that third parties can independently review.