There was no AI built for banking
For years, banks have struggled to get past the AI experimentation phase. Now, Titan delivers the models, context, and agents needed to unlock banking productivity.
Built to solve banks' biggest AI challenges
Thinks like a banker
Titan’s Banking Knowledge Graph infuses every answer with banking and regulatory expertise.
Travels to your data
Titan’s Banking Models come to you, so sensitive data never leaves your institution’s perimeter.
Shows its work
Titan provides a full audit trail complete with citations and assurance levels for every answer.
Right the first time, on banking’s hardest questions
Leads frontier models by 27–67% on the Banker Trust Index
Preferred over ChatGPT, Claude, and Gemini 77% of the time in blind evaluations
Tops every frontier model on RAGAS accuracy by 18 to 43 points
Titan knows banking
Before building Titan, our team ran banking technology, credit, and regulatory functions at leading financial institutions and fintechs.
1
former Head of the OCC on Titan’s board
2026
Tearsheet AI Startup of the Year
5
former banking CTOs on the team
3
fintech exits as founders and builders
Delivering value, from the boardroom to daily operations
Governance for the board. Control for the CIO. An audit trail for risk.
One platform for all of it.
The board wants an AI strategy that lifts productivity and the bottom line. General-purpose AI has already burned some banks.
Sovereign, banking-native AI built to speed up daily work. Fully governed from day one. Start with small pilots you can reverse.
Preferred over frontier models in more than 70% of blind head-to-head tests. A former Acting Comptroller of the Currency is on our board.
Data residency, unpredictable cost, opaque training data, no control over when the model changes underneath you.
Choose where it runs and when it updates. Training data is documented, and cost is predictable.
Multi-tenant, single-tenant, or self-hosted in your own cloud or data center. Any model update can be reversed.
Per-token pricing has blown budgets on pilots that were technically working.
Predictable cost and efficient spend, reviewed with your team before deep work begins.
An 8-billion-parameter banking model, plus routing that sends each task to the right-size model, so spend tracks value.
Governing a model whose internals aren't disclosed, across a dozen vendors running different models.
A model you can inspect, validate, and remediate on your own schedule.
SOC 2 Type II examination completed. Full training corpus documentation. A chain-of-thought audit trail with every response.
The intriguing use cases stay blocked because the regulatory risk profile is different on general-purpose AI.
Security, explainability, and auditability built into the platform open up use cases that weren't viable before.
Live at banks today across revenue growth, compliance, and operations. New use cases assemble from components already built.