Jaxon.AI

Founded 2017

Check large language model outputs against custom business rules using formal symbolic logic

Pricing model

Demo

You can use Jaxon to verify AI model outputs against strict business rules and compliance policies before anyone acts on them. The system extracts key facts from generated responses and evaluates them using a deterministic symbolic logic engine rather than probabilistic scoring. Each check returns an auditable verdict of true, false, or unknown, accompanied by a signed cryptographic token. You can run it via REST APIs or MCP connections across cloud, on-premises, or air-gapped environments to prevent model hallucinations from entering production workflows.

What Jaxon.AI does

Compile written policy documents into formal executable rulesExtract factual claims from large language model responsesVerify extracted claims against encoded business logicIssue signed audit tokens for downstream workflow approvalsFlag rule violations with exact references to governing textTest updated foundation models against existing accuracy benchmarksInspect verification logs to audit AI compliance historyEvaluates text outputs using deterministic symbolic logic instead of probabilityReturns definitive verdicts of true, false, or unknown with rule citationsGenerates cryptographically signed audit tokens for verified outputsIntegrates via Model Context Protocol (MCP) or standard REST APIsMonitors models continuously for drift against custom evaluation specificationsDeploys in cloud, on-premises, or disconnected air-gapped environmentsTransforms enterprise policies into executable, compiled rulesets