Meet Jaxon: Your AI Assurance Partner
Frequently Asked Questions
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.
What's the Pricing Model?
Jaxon's Pay-Per-Use Edition starts at just $0.00055 per chunk, where a "chunk" is defined as up to 1,000 characters. Our Enterprise Edition provides unlimited usage for organizations that require scale and predictability – contact us at info@jaxon.ai for more information.
How does it address hallucinations?
Jaxon’s proprietary Domain-Specific AI Language (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
How does Jaxon integrate with my existing AI workflow?
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.
What types of verification does Jaxon perform?
Jaxon offers multiple verification methods, including consistency checking, consensus, critique-and-revise loops, and rule-based validation. These techniques help detect hallucinations, ensure compliance, and improve AI reliability.
How does Jaxon compare to traditional AI validation methods?
Unlike traditional validation methods that rely on manual review or basic heuristics, Jaxon combines agentic and neurosymbolic techniques. It performs automated consistency checks, enforces domain-specific rules, and provides structured reasoning to validate AI-generated content.
Can Jaxon scale with my AI application?
Yes, Jaxon is designed for scalability. Whether you’re validating a few AI responses or running enterprise-scale verification on millions of interactions, Jaxon’s architecture supports efficient processing across large datasets.
What industries benefit most from Jaxon?
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.
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.
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