BATEN
Augmented Intelligence Engine
What if LLMs were governed by physics, not hope?
A Rust-native engine that applies gravitational fields, torsion mechanics,
Shannon entropy, and formal observation algebra to deterministically steer
any Large Language Model. No hallucinations. No cloud. No retraining.
65,536
Max Hilbert Dimension
Request Early Access
The engine is built. It works. Going live between April 2 and May 2, 2026.
First 200 signups get priority access.
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Σ
Sigma Engine
8 emergent behavioral profiles selected via 4D Euclidean distance. Purely deterministic. Same state = same identity.
⟨ψ⟩
Quantum Core
Observation algebra in real-valued Hilbert spaces (Q4 to Q65536). Intent-biased collapse with Shannon entropy tracking.
↺
A-Steer
Autonomous torsion-based steering. Real-time friction monitoring. Automatic correction without model modification.
𝓕
FLVH Topology
Every data block carries intrinsic 4D causal geometry. SHA-256 proof of causality. Observer-relative visibility.
◈
Hub-Bus DSL
Purpose-built domain-specific language for semantic computation. Rust-native lexer-parser-runner. NDJSON audit trail.
⚡
Model Agnostic
Works with Mixtral, Llama, DeepSeek, or any LLM. Same physics pipeline. Offline-first. Full data sovereignty.
BATEN vs. Conventional Approaches
Aspect
Prompt Engineering
RLHF / Fine-Tuning
BATEN A-Steer
Auditable
No
Partial
Full trail
Model-agnostic
Yes
No
Yes
Offline
Depends
Depends
100%
Real-time correction
No
No
<1 ms
Requires retraining
No
Yes
Never
Technology Stack
Backend: Rust (multi-crate workspace). Tauri 2 for native desktop. Zero-copy IPC.
Frontend: React / TypeScript. Real-time canvas instrumentation at 60 FPS.
Algebra: baten_quantum_core (Q4-Q65536), Hub-Bus DSL, ALIM protocol.
Data: Zahir FLVH topology. SHA-256 causal chains. Observer-relative replay.
LLMs: Ollama proxy (Mixtral 8x7B, Mistral 7B, Llama 3 8B, Llama 3.1 70B, DeepSeek V3).
Who Is This For
Enterprise teams deploying LLMs who need auditability, reproducibility, and zero-hallucination guarantees.
Regulated industries (legal, medical, finance) requiring deterministic output and full decision trails.
AI researchers interested in physics-based approaches to LLM governance.
Investors and partners looking at the next infrastructure layer for reliable AI.
See the Engine Live — Limited Slots
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