Three products. One theoretical framework. Built on information geometry, validated on real hardware, and monitored by the same math that derives the fine structure constant.
Three tools built on the same second-order Fisher manifold. Each one closes a blind spot that existing infrastructure misses entirely.
Real-time neural network training stability monitor. Detects instability before your loss curve shows it, attributes it to the exact module, and intervenes automatically.
LLM inference drift monitor. Catches silent behavioral failures that input-embedding monitors miss. One URL change, no configuration, works on any OpenAI-compatible endpoint.
A general AI assistant built on Bendex Arc infrastructure. Monitored by Arc Sentry in real time. Deep expertise in information geometry and the Bendex theoretical framework.
The second-order Fisher manifold H² × H² with Ricci scalar R = −4 is the geometric foundation underlying all three Arc products. The same self-consistency condition that gives the phase transition at τ* also derives the fine structure constant to eight significant figures.
This is not curve fitting. The bounds are geometrically forced. The predictions were made before the data was consulted.
Read the papersBoth monitors are applied proofs of a theoretical program in information geometry. The same Fisher manifold underlying Arc Monitor's zero false positive rate also derives α to 8 significant figures from pure geometry.
Free for research and non-commercial use. Commercial license required for production deployments.