B-STA Network Optimization Engine

About

The Binns-Siphon Tensor Analysis (B-STA) framework is a proprietary data analytics platform designed to isolate high-value structural bottlenecks and self-referential loops across multi-dimensional networks. The engine models network vectors using spatial eigenvalues to calculate the precise operational threshold (the Siphon Point, where σ ≥ 1.0) where a node collapses into a closed vortex loop—wasting 100% of input resource energy. The acquisition includes full assignment rights to active U.S. Patent App. No. 64/158,364 and the complete Python source code repository. One-time cash buyout with 0% post-sale founder support or overhead required.