Provided by Jaxon.AI
DSAIL 2.0 is Jaxon's neurosymbolic verification engine that enforces your policies on every AI decision — traceable, auditable, and provably correct.
Overview

DSAIL (Domain-Specific AI Language) sits between your LLMs and critical decisions, translating natural language policies into executable logic that verifies AI outputs before they're acted on. By combining the flexibility of LLMs with the rigor of formal logic, DSAIL catches hallucinations, enforces compliance rules, and produces a mathematically backed audit trail for every decision — giving enterprises the control, transparency, and confidence to deploy AI at scale.

  • Industries
  • Banking
  • Aerospace and Defense
  • Electronics
  • Insurance
  • Retail
  • Topics
  • AI and ML
  • Business operations
  • Cloud
  • Software architecture
  • Deployment types
  • SaaS
  • On-premises
  • Languages supported
  • English
  • Regions and countries supported
  • Africa - Egypt, South Africa
  • Americas - Brazil, Canada, Mexico
  • Asia - India, Japan, Malaysia, Philippines, Saudi Arabia, Israel, Singapore, Republic of Korea, Thailand, United Arab Emirates, Viet Nam
  • Europe - Austria, Belgium, Croatia, Czechia, Denmark, Estonia, Finland, France, Germany, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland, United Kingdom of Great Britain and Northern Ireland
  • Oceania - Australia, New Zealand
Benefits Every Decision Is Traceable Back to a Rule You Wrote
DSAIL compiles your policies into structured, enforceable logic so every AI output is validated against rules you defined — no black boxes.
Audit Any Decision in One Click
Every verification returns structured proof showing exactly what rule was applied, what passed, and what failed — built-in transparency by design.
Catch Hallucinations Before They Cause Harm
Symbolic reasoning validates LLM outputs instead of blindly accepting them, ensuring AI decisions meet defined specifications every time.
Key features
Policy-as-Code authoring — write rules in natural language that compile into formal, executable logic for any LLM workflow.
Model-agnostic deployment — integrates with any LLM, including watsonx models or self-hosted LLMs; runs on-prem, in your VPC, or in the cloud.
Chainable guardrails with test & simulate — compose layered verification pipelines and validate rule performance.
Information about the companies and solutions listed in this directory is provided by each company and is not validated by IBM unless otherwise noted.