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Smarter models. Agents that know banking.
Built to make every banker more productive.
Bankers draft credit memos, summarize loan files, extract regulatory guidance, and build reusable templates - all through a single governed interface. Every response includes a chain-of-thought audit log, an Assurance Level reflecting how confident Titan was during verification, and a complete log of which model generated it. Ready for auditors and regulators on demand.
Our proprietary banking models are trained on OCC, CFPB, FFIEC, FDIC, and Federal Reserve guidance, and continuously refined by former regulators, financial lawyers, and bank operators. They outperform ChatGPT, Gemini, and Claude by a significant margin on banking-specific tasks. Titan Banking Models can be deployed within your own private cloud or data center. Your data never leaves your institution. The model comes to it.
They reason through tasks the way a trained bank operator would, not mechanically, because every Agent draws on Titan's Banking Models and your institution's own data through Connectors. Agents operate on a human-in-the-loop model by design: they do the legwork, produce the recommendation, and hand off to your team for final review. Accountability stays with your bankers. The audit trail stays with every action.
Financial institutions operate under some of the most demanding security and regulatory requirements of any industry. Titan is built to meet them.
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SOC 2 Type II compliant. Deployable on Azure cloud or within your own infrastructure, with data residency controls for jurisdiction-specific requirements. Your data is encrypted end-to-end, never used to train external models, and never shared. PII is automatically detected and blocked before it reaches any AI model - no action required.
Human-in-the-loop workflows keep your bankers in the final seat of accountability - Agents produce the recommendation, your team makes the call. Titan also supervises the AI itself: every input screened for prompt injection, every response filtered through output guardrails, scope enforcement ensuring the AI stays within its intended purpose.
Every action logged. Every response traceable to its source, its model, and its verification level. Audit records are structured for regulatory examination and available on demand - so your team and your examiners have what they need, in the format they need it. Nothing happens in Titan without a record of it.
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