Startup Idea: Deterministic Feature Steering for LLM Firewalls

Market Problem: Enterprises fear model hallucinations and compliance leaks. Current guardrail systems rely on slow secondary evaluator models. These secondary calls add hundreds of milliseconds of latency to every interaction. Technical Architecture: Hook into transformer model weights directly using sparse autoencoder vectors. Build an inference proxy with vLLM that performs directional ablation on token logits. When sensitive topics appear, zero out specific linear steering directions without re-prompting. Monetization & First Customers: Target fintech compliance teams managing internal customer service models. Sell per-instance inference licenses starting at $2,000 monthly. Related Topic Hub: Full-Stack Architecture