Prior art search engine that resolves patents to claim language ($30)
$30 patent search undercuts $1,500 attorney fees with claim-level mapping.

Patent portfolio for deterministic AI, but no code, demo, or working system shown.
Enterprise AI governance, defense/healthcare/infrastructure sectors; AI safety researchers
We've built an alternative: Deterministic Policy Gates. In our architecture, the LLM is completely stripped of execution power. It can only generate an "intent payload." That payload is passed to a process-isolated, deterministic execution environment where it is evaluated against a cryptographically hashed constraint matrix (the constitution). If it violates the matrix, it is blocked. Every decision is then logged to a Merkle-tree substrate (GitTruth) for an immutable audit trail.
We filed 99 provisional patents on this architecture starting January 10, 2026. Crucially, we embedded strict humanitarian use restrictions directly into the patent claims themselves (The Peace Machine Mandate) so the IP cannot legally be used for autonomous weapons, mass surveillance, or exploitation.
I wrote a full breakdown of the architecture, why probabilistic safety is a dead end, and the timeline of how we filed this before the industry published their frameworks: Read the full manifesto here: https://salvatoresystems.medium.com/the-death-of-probabilist...
The full patent registry is public here: https://aos-patents.com
I'm the founder and solo inventor. Happy to answer any questions about the deterministic architecture, the Merkle-tree state persistence, or the IP strategy of embedding ethics directly into patent claims.
$30 patent search undercuts $1,500 attorney fees with claim-level mapping.
Verifiable decision replay for autonomous systems, but execution complexity limits adoption beyond safety-critical domains.
Pre-joined USDA phytochemical records with clinical trials and patents, saving biotech ETL time.
15 patent claims with zero shipped code, implementation, or verifiable demo.
Fail-closed policy layer blocks LLM tool calls before execution, no LLM in decision path.
Game theory whitepaper without a working game or clear incentive to participate.