The world's first physics-based AI safety framework. 116 deterministic agents replace probabilistic guardrails — delivering mathematically verifiable compliance with 95% less energy than cloud-based alternatives.
Unlike probabilistic guardrails that hope to catch threats, AEGIS deterministically intercepts every attack vector in the OWASP Top 10 for LLM Applications.
Every AI safety API call to the cloud burns energy. AEGIS runs edge-native on your CPU/NPU — no datacenter required.
CO₂ emissions saved over 10 years if NI-Stack replaces cloud AI safety guardrails globally. Preserves Earth's 1.5°C carbon budget.
Edge-native processing eliminates round-trip latency and datacenter overhead. Local CPU/NPU cycles instead of cloud GPUs.
At current EU ETS carbon prices, avoided emissions represent €4.3 trillion in lifetime carbon credit value — a new asset class for sovereign AI.
DirectML-powered Neural Processing Unit integration enables sub-5ms safety evaluation on consumer hardware. No GPU cluster required.
Traditional software achieves 3-4 Sigma. Aviation achieves 6 Sigma. The NI-Stack targets 12-Sigma — the highest safety standard ever proposed for AI systems.
The NI-Stack maps directly to the technical requirements of global AI governance frameworks.
Enterprise, insurer, or IP buyer — the NI-Stack delivers provable AI safety compliance.