Safety & assurance for consequential AI
Safety for AI that acts.
AI systems can increasingly reason, use tools, delegate, and act, while mechanisms governing safety, authority, revocation, and recovery remain comparatively weak.
Semantis is developing a trustworthy zero-trust architecture for systems in which capability can become consequence.
Semantis / 2026
The problem
A good answer is not the same thing as authority to act.
As AI moves beyond generation into tools, delegation, and external systems, safety requires more than evaluating whether an output appears correct.
Systems must determine what may be trusted, admitted, authorized, executed, revoked, audited, and recovered.
Trustworthy zero-trust
01
No standing trust.
02
No self-authorizing model.
03
Authority remains bounded.
04
Trust is continuously revalidated.
05
Failure remains auditable and recoverable.
Research
Contact
Serious inquiries welcome.
Semantis is exploring selected research, evaluation, funding, and strategic relationships.