AI That Understands Finance –
Smarter Decisions, Safer Compliance
Jaxon transforms raw financial data into verified, audit-ready insights – eliminating AI hallucinations and ensuring compliance with industry regulations.
Are you ready to AI-enable your institution's key functions, but don't know how to remove costly LLM errors?
Jaxon’s Domain-Specific AI Language (DSAIL) is a system of guardrails that allows you to vet LLM responses, correlate across data sources, and ensure compliance with established rules and regulations.
Investment Research
- AI-assisted market analysis and company evaluations
- Decompose & verify financial projections
- Ground AI in trusted knowledge
Legal & Compliance
- Compliance agents for regulatory adherence: SEC, FINRA, AML, KYC, Basel III, etc.
- Adherence to internal mandates
- Auditability with structured reasoning checks
Portfolio Management
- Verify output consistency across stress-test simulations
- Apply rules to analysts’ workflows
- Evaluate risk using scenario modeling
Fraud Detection
- Real-time transaction monitoring
- Multi-layered verification with symbolic guardrails for high-risk events
- Sync seamlessly with workflows
What's the Secret to AI You Can Actually Trust?
Jaxon’s Policy Guardrail brings structure and accountability to AI-driven decisions, turning freeform language models into rule-following, audit-ready powerhouses. With deterministic outputs, you get results that are consistent, explainable, and compliant — no more guesswork, no more black-box uncertainty.
Jaxon is Correcting the LLM Hallucination Problem to Deliver Trustworthy AI Applications for Corporate Adoption
“Hallucinations” – when an LLM produces inaccurate or entirely fabricated responses – prevent the use of LLMs in production for regulated industries and high-risk applications. Jaxon addresses this fundamental limitation with logical reasoning.
Choosing Guardrails
Jaxon lets you tailor AI guardrails to fit your firm's unique regulatory, risk, and operational needs – precisely.
DSAIL uses symbolic reasoning by transforming policy rules into executable code using a domain-specific language (DSL), allowing formal verification of logical constraints and compliance checks. Additionally, it automatically derives an ontology from these rules, enabling structured reasoning over knowledge graphs to verify AI-generated outputs are accurate.
A FinServ Use Case: Eliminating the Effect of Hallucinations in Bond Indenture Analysis
Discover how AI is transforming bond evaluations – faster insights, smarter decisions for the future of fixed income analysis!
Take a Look at Jaxon’s Proven Track Record
Based on feedback from our applications for the Department of Defense, Jaxon customers saw an 8.24% increase in AI accuracy
With decades of experience delivering complex AI solutions, our best practices drive successful project outcomes with extreme precision and timeliness.
