Jaxon's Domain-Specific AI Logic (DSAIL)
Trust Generative AI for Critical Applications
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Knowledge graphs tailored to
your domain-specific language
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Guardrails for new or existing
LLM pipelines
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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 Validation Agent
Jaxon’s patent-pending Domain-Specific AI Logic (DSAIL) platform has an interchangeable set of modules that provide Verification & Validation (V&V) guardrails for generative AI. DSAIL uses ‘formal methods’ to mathematically prove the accuracy of LLM output.
RAG is NOT Enough
for that, you need Jaxon.
For high-risk industries, where accuracy is crucial, RAG is NOT enough.
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.
Choosing Guardrails
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The
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
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