Build confidently with LLMs by embedding control, accuracy, and compliance into your AI applications from day one. Jaxon provides a suite of modular guardrails that adapt to your needs, from audits to automated decision pipelines.
DSAIL delivers provable correctness by grounding LLMs in formal logic.
Blend agentic reasoning and human review for high-confidence AI outputs.
Build DAG-based pipelines combining guardrails, data, and checks.
Return structured proof showing exactly why each decision passed.
Integrate directly into your stack with cloud or on-prem control.
Encode policies as rules and automatically verify enforcement.
Build AI you can trust. Jaxon wraps your LLMworkflows with guardrails, validation layers, andsymbolic logic – all in one unified verificationengine.
Policy-as-code enforcement with provable logic and SMT-backed guarantees.
LLMs reviewing other LLMs for hallucination, inconsistency, and more.
Seamlessly integrates manual checkpoints into AI workflows.
Visual builder for orchestrating multi-step validation pipelines.
No-code interface for testing and debugging guardrails in real time
Python-based interface for programmatic integration and batch processing.
Jaxon enables confident deployment of generative AI by embedding policy, logic, and correctness directly into AI workflows—combining agentic flexibility with neurosymbolic guardrails for regulated and mission-critical environments.
Federal missions require explainable, auditable, correct AI by design.
State and local governments can modernize with AI—without losing transparency.
Financial institutions need fast AI—without compromising correctness.
Insurance AI decisions must be consistent, defensible, and compliant.
Life sciences AI must meet regulatory rigor—before submission or publication.
Enterprises want AI everywhere—with control and verification everywhere.
Explore Jaxon’s resources: blog insights, career opportunities, and a glossary of key AI and compliance terms
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