Sphinx AI builds the governed, self-updating context graph that makes enterprise AI agents accurate, auditable, and trustworthy on complex business context, workflows, and data. Our learning algorithms automatically reverse-engineer the business logic, SOPs, and analytical judgment buried in your work products and then continuously maintains that context as business processes and data change. Investment firms and banks use Sphinx to ground AI in firm-specific metrics, risk models, and workflows to power use cases such as AI agents for investment research and automating credit data workflows. Across customers and pilots, Sphinx cuts AI hallucinations by 37% and reduces token costs by up to 70%. Every AI output comes with a full audit trail, showing exactly where and why an agent got something wrong and how to fix it, with fixes propagating globally once corrected. The result: AI that understands your business data, with the governance and evidence to prove it.