Guardian is a tensor-network logic engine that enforces arbitrary constraints on LLM outputs with 100% precision and O(1) memory.
No fine-tuning. No RLHF. Just physics.
Guardian selects the only type-safe candidate from LLM outputs — zero training required.
Logical accuracy
Validated on all benchmarks
Memory complexity
Constant on infinite streams
Training required
No fine-tuning or RLHF
They hallucinate logic, break type contracts, and violate constraints. Post-hoc guardrails can't fix what's already generated. Fine-tuning is expensive and doesn't guarantee consistency.
Tensor networks encode logical rules into circuit geometry. Constraints are enforced by physics, not probability. Mathematical certainty with constant memory overhead.
Quantum-inspired, classically executable
Guardian uses simulated quantum circuits on classical hardware. Production-ready today, no quantum computer required.
Logical rules become tensor network topology. Circuit geometry is the constraint.
LLM outputs flow through the network as quantum-like state vectors in superposition.
Interference eliminates invalid states. Physics enforces consistency, not probability.
Only logically consistent outputs survive. 100% accuracy with O(1) memory.
Works alongside any LLM as a verification layer
MPS bonds enable constant memory on infinite streams
No training because rules are geometric, not learned
Guardian: 0.94x memory growth (flat). Z3: 3.49x growth (crashes). 3.7-5.3x advantage validated.
75-96% confidence on rule discovery without any training data. Coherent Bayesian filtering with mid-circuit measurements.
Three patent applications filed in November 2025, backed by peer-reviewed research and working implementations.
Reprogrammable quantum circuits for Boolean logic. 100% accuracy on AND, OR, XOR with zero training.
Zero-shot learning via topology. 88-93% accuracy across tasks with zero training epochs.
Physics-based LPU with O(1) memory scaling, coherent rule discovery, and infinite-context streaming.
We're working with select organizations to deploy Guardian in production environments.
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