Jaxon's Domain-Specific AI Logic (DSAIL)
Trust Generative AI for Critical Applications
Knowledge graphs tailored to
your domain-specific language
Guardrails for new or existing
LLM pipelines
Formal verification ensures
trusted output
AI guardrails impose
user-defined constraints,
ensuring AI outputs remain accurate & relevant.
AI Has a Hallucination Problem
AI can generate information that’s incorrect, even though it might sound plausible. Large language models (LLMs) are just looking at patterns and need guardrails – enter Jaxon’s DSAIL.
AI Verification Agent
Jaxon’s patent-pending Domain-Specific AI Logic (DSAIL) platform has an interchangeable set of modules that provide verification guardrails for generative AI. DSAIL uses ‘formal methods’ to mathematically prove the accuracy of LLM output.
Choosing Guardrails
Jaxon allows users to select the ‘LLM guardrail’ that fits their organizational needs best on a scale of degree of formality vs degree of trustworthiness.
The 
Fact Checker
Fact Checker
DSAIL’s ‘Fact Checker’ is at the heart of addressing the hallucination problem. Jaxon’s proprietary DSAIL technology turns natural language into binary that gets run through a gauntlet of checks and balances. This ensures the AI’s response meets all constraints and assertions before being returned – formal verification of its output.
Verification & Validation
Verification confirms that a model operates correctly in real-world conditions, while validation ensures the model accurately represents its intended use. The DSAIL platform provides a set of guardrails to make sure AI systems stay on track and produce accurate responses.
Jaxon’s DSAIL: Tackling AI Hallucinations
