All Solutions
/// VECTOR_LOGIC

Neural Bytecode

AI-native standard for logic representation. Abandoning human-readable syntax in favor of tensor computation efficiency. A shift from Human-AI Alignment to Machine-Machine Alignment.

01 Cognitive Firewall

NBS reduces system entropy ($D$) to a minimum. Thanks to strict semantic vector typing, the model cannot "hallucinate" non-existent connections. This ensures a 0% hallucination rate for critical tasks.

> Entropy Reduction Protocol engaged.
> Hallucination Rate: 0.00%

02 Cognitive Key

Removing the "syntax tax" (text parsing overhead) frees up computational resources. NBS allows models to achieve +300% reasoning depth on the same hardware.

03 Resident Execution

NBS logic is executed directly on GPU tensor cores (Tensor-VLIW architecture). This solves the 2025 Grid Deficit problem, enabling complex agent systems to run on edge devices.

Toolkit

Status: Research Preview

Technology available for partners via early access program.