Auditable offline edge intelligence for low-cost edge devices, with benchmark evidence and public board proof on ESP32-C3.
I've always believed that the hardest problems in AI aren't technical; they're architectural. We keep building systems that can't explain themselves, can't prove their own integrity, can't handle uncertainty without either freezing or lying. And then we act surprised when we don't trust them.
paceval is a high-performance mathematical runtime for deterministic AI and energy-efficient edge computing.
GATOS generalizes Git’s content-addressed DAG into a complete computational substrate: a programmable operating surface unifying history, policy, and computation within a deterministic, verifiable feedback loop.
The 2026 canonical record of Deterministic Intelligence — Scrollchain 0–167, DI² runtime architecture, and the complete provisional patent framework for drift-free, auditable AI.
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