Jaxon.AI published a research paper that highlights the difference between generating a probabilistic answer and verifying it as a separate step.

Not a smarter prompt. Formal proof. Jaxon is an API that embeds a deterministic verification layer into your existing AI workflows — so every AI-generated output is mathematically checked against your codified rules before it reaches a regulator, customer, or counterparty. Born from U.S. Department of Defense research. Every output — an underwriting decision, a compliance assessment, a regulatory filing, a trade confirmation — gets one verdict: PASS, FAIL, or UNKNOWN, each traced to the governing citation. The LLM extracts the facts; a formal logic solver evaluates them against your encoded policy. Jaxon works with any model (GPT, Claude, Gemini, or your own) and deploys on-prem, in your VPC, or air-gapped. Jaxon is a verification layer, not a standalone application — your engineering team owns the integration; your compliance and business leaders own the rules. One contract, two roles, total auditability. Built for organizations where correctness, compliance, and auditability are non-negotiable: • Defense & Intelligence — high-assurance AI validation where correctness and traceability are non-negotiable • Financial Services — investment documentation checked against mandates, fiduciary duties, and regulatory expectations • Insurance — deterministic policy enforcement for underwriting, claims, and member communications, defensible in market-conduct exams • Life Sciences — scientific, clinical, and quality documentation checked against regulatory standards • Stock Exchanges — verifiable AI-assisted compliance at exchange scale: listing determinations, regulatory reports, trade documentation Powered by DSAIL® (Domain-Specific AI Language), Jaxon's neurosymbolic verification engine.