Bee Ships Software.

MIRADOR computes drug-target binding affinity through geodesic distances on molecular manifolds. The 10-layer stack: manifold encoding → curvature extraction → holonomy gates → binding geometry → ADMET prediction → off-target analysis → molecular generation → clinical scoring → C = τ/K optimization → therapeutic recommendation. All decisions verifiable via S + d² = 1.

GIGI indexes data as sections of fiber bundles where the base space encodes semantic position and fibers hold values. Queries become parallel transport operations — point lookups travel geodesics, range queries sweep curvature-bounded regions. The geometric structure provides intrinsic compression: redundancy collapses to lower-dimensional submanifolds.

DHOOM encodes structured data using curvature-aware syntax that collapses redundant nesting. Whitespace carries semantic weight. Indentation defines hierarchy without delimiters. The result: documents that compress better, parse faster, and cost fewer tokens when fed to language models. Full JSON round-trip compatibility.

Matches payments across SWIFT, ISO 20022, ACH, ISO 8583, and RTP rails without reading a single string. Every decision mathematically provable via the Davis Identity. The geometric embedding preserves transaction semantics while enabling O(1) similarity lookup.

The Troyon beta limit coefficient C_kink = 1/(2π) derived from topology, not fitted. Analyzes MHD equilibria in real-time for tokamak and stellarator configurations. Every stability prediction verifiable through the constraint manifold.

Maps geopolitical indicators onto a manifold where curvature concentrations signal instability. Predicted the Russia-Ukraine invasion 72 days before onset. Applied to Middle East crisis analysis, Taiwan Strait monitoring, and global flashpoint detection.

Hosts PSYCHOHISTORY, CHIHIRO demos, and future product deployments. Provides GPU-accelerated geometric compute via CUDA/WebGPU, real-time visualization of manifold dynamics, and API endpoints for programmatic access to Davis Field Equation computations.

HERALD: Viral mutation surveillance and outbreak prediction via sequence manifold curvature.
GEODESIC: Cancer biomarker detection through metabolic pathway geometry.
TESSERA: Antimicrobial resistance pattern analysis using plasmid transfer networks.
All built on the Davis Identity: S + d² = 1.

Uses rank-32 gauge connections and proprioceptive gain gates instead of standard attention. v6 achieved perplexity 37.11 — a 3.85× advantage over a vanilla transformer baseline at equivalent parameter count. Currently training v9 with expanded context. Named after her mother.