We don't just need AI for everything.
We need trustworthy AI for everything.
As AI agents take physical form in robots, vehicles, and critical infrastructure, software-only defenses cannot keep pace. AGIACC embeds deterministic safety into silicon, ensuring autonomous systems fail safely by design.
Aligned with the capability-safety ecosystem
Memory safety and compartmentalization, enforced directly in silicon.
Hardware capability bounds
CHERI capabilities replace raw pointers with unforgeable, bounded tokens. Buffer overflows, use-after-free, and pointer injection are stopped deterministically at the hardware level — not probabilistically detected by software heuristics.
Architectural compartmentalization
Each AI subsystem runs inside a hardware-backed compartment with explicit boundary policies. Breaches physically cannot propagate laterally, eliminating massive blast radiuses that plague current AI deployments.
Trusted AI lifecycle
From data ingestion to model inference, every asset is governed by hardware-enforced access control. Prompt injection and model extraction mitigations are anchored in the infrastructure boundary.
Chip-to-cloud verification
Trust is established from silicon boot and cascades upward. Built-in cryptographic engines and capability registers anchor the entire chain of custody for massive autonomous fleets.
Zero-cost security
By shifting security primitives from software overhead to the processor pipeline, AGIACC achieves unparalleled safety guarantees without compromising the latency required for real-time robotic inference.
Software is failing autonomous vehicles and robots.
In 2026, the OpenClaw AI agent system demonstrated that when AI gets physical form, vulnerabilities become kinetic dangers. Over 135,000 instances were compromised due to legacy software flaws allowing remote code execution.
Bolting software patches onto fundamentally insecure architecture is a losing battle. We must embed safety directly into the processing layer.