Meet Jaxon:
Your AI Assurance Partner

Pricing & Frequently Asked Questions

Pay-Per-Use

$55 per 100K chunks*

For growing businesses managing multiple projects across the organization

  • 100 guardrails
  • Virtual customer support
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Enterprise

Custom

For businesses with advanced security, management, and support needs

  • Unlimited chunks
  • Unlimited guardrails
  • Self hosted (private cloud or on-prem)
  • Dedicated customer support
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*A chunk can contain up to 1,000 characters. If a chunk is more than 1,000 characters, it will be processed as multiple chunks.

**Guardrails are individual “tasks” configured for a chosen runtime.

Key Insights at a Glance

What is Jaxon?

Jaxon is an AI verification and validation platform that ensures the reliability, accuracy, and trustworthiness of AI-generated outputs. By integrating agentic and policy guardrails, Jaxon provides a structured way to evaluate, refine, and verify AI responses.

Who is Jaxon designed for?

Jaxon is built for machine learning engineers and developers building LLM applications who need reliable, verifiable AI outputs. It’s ideal for teams in regulated industries or anyone integrating AI where accuracy and trust is critical.

What models does Jaxon support?

Jaxon is model-agnostic and works with all major LLMs, including open-source and proprietary models. It integrates seamlessly with foundation models like GPT-4, Claude, Llama, and Mistral, as well as custom fine-tuned models, ensuring flexible and comprehensive AI validation.

Can I deploy Jaxon on-premises?

Yes, Jaxon can be deployed on any cloud and/or on-premises. Working within existing environments is our forte. Deployment can be as easy as a pip install. The Jaxon team can also help create custom knowledge graphs with your data.

How Secure is My Data?

Jaxon takes security very seriously. We were born out of work with the U.S. Department of Defense where data privacy is critical. As such, Jaxon goes beyond the average data security measures, ensuring your data is just for you.

How does it address hallucinations?

Jaxon’s proprietary Domain-Specific AI Logic (DSAIL) is a fact checker that sits between Jaxon and the LLMs. DSAIL uses a sophisticated approach to run all information through a Boolean satisfier, ensuring all constraints are met.

Still Curious? We've Got Answers

Jaxon integrates seamlessly via API, working alongside your LLM calls without modifying your core model. It acts as a verification layer, ensuring reliable outputs without disrupting your existing AI pipeline.

Jaxon offers multiple verification methods, including consistency checking, fact verification, critique-and-revise loops, and rule-based validation. These techniques help detect hallucinations, ensure compliance, and improve AI reliability.

Unlike traditional validation methods that rely on manual review or basic heuristics, Jaxon combines agentic and neurosymbolic techniques. It can perform automated consistency checks, enforce domain-specific rules, and provide structured reasoning to validate AI-generated content.

Yes, Jaxon is designed for scalability. Whether you’re validating a few AI responses or running enterprise-scale verification on thousands of interactions, Jaxon’s architecture supports efficient processing across large datasets.

Jaxon is particularly valuable for industries that require high-assurance AI outputs, including finance, healthcare, defense, and enterprise AI applications. Any organization that relies on AI-generated content and needs to minimize errors can benefit.

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