Who it is built for
- Teams deploying LLM workflows in regulated industries
- Engineers building high-assurance AI applications
- Organizations requiring auditable policy enforcement
Policy-based verification for high-assurance AI decisions
Jaxon is an AI verification layer for organizations using LLMs in regulated or high-stakes workflows. It converts policy requirements into structured logic, evaluates model outputs against those rules, and returns auditable outcomes for deployment through APIs or custom solutions.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Transforms natural-language policy requirements into structured, enforceable logic for validating AI outputs.
Evaluates outputs with policy rules and an SMT solver to return pass, fail, or unknown outcomes.
Supports API integration with major or self-hosted LLMs across cloud, on-premises, and air-gapped environments.
Teams define and test rules that encode their policies against sample documents or outputs. Their application submits text through Jaxon's API, which evaluates it against the ruleset and returns a deterministic, auditable result. Jaxon can also be embedded or managed as a custom verification solution.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.