Titan is a banking-native AI platform purpose-built for financial institutions. It combines a secure chat interface (Titan Foundry), a proprietary small language model trained exclusively on banking (Titan's Banking Model), and AI-powered digital workers that automate high-volume workflows (Titan Agents) - all within a security and governance framework designed to meet examiner standards.

General-purpose AI is optimized for breadth across thousands of domains. Titan's Banking Model is trained exclusively for banking. In independent benchmarks across 7,459 banking scenarios, Titan outperformed ChatGPT, Google Gemini, and Anthropic Claude on every key metric - and compliance officers preferred Titan's responses more than 70% of the time on average. The difference shows most clearly in regulated tasks, where a wrong answer is a compliance event, not a recoverable inconvenience.

Yes. Titan is SOC 2 Type I and Type II compliant, with security controls continuously monitored and mapped to SOC 2 criteria. Compliance documentation is available upon request. Titan also offers deployment within your own infrastructure for institutions requiring the highest level of data residency control.

PII is automatically detected and handled before it reaches any AI model. Less sensitive PII is replaced with cryptographic tokens so the model is able to processes your requests uninterrupted but without ever seeing any raw PII values. High-risk financial and identity data is blocked from processing entirely. This happens automatically - no action required from users.

Titan is designed for MRM review. The Banking Model's training corpus is fully documented, the model is deployable within your infrastructure so weights and decision logic are inspectable, and updates happen on your schedule after MRM review. Every response includes a chain-of-thought audit record structured for examiner review.

Titan Foundry is available and ready to deliver value from day one. From the moment you ask your first question you're getting all of the full benefit of a pre-loaded library of banking regulations and agency guidance to query, Titan's Banking Model and its built-in expertise, and an audit log for every response, all delivered in an environment with bank-grade security. From there Titan's capabilities only deepen as Connectors and Agents bring your systems, policies, and workflows into the platform.

No. Titan operates on a human-in-the-loop model by design. Agents do the legwork: collecting data, analyzing it against your policies, and producing recommendations, but your bankers make the final call at every key decision point. AI extends the capacity of your team; it does not replace their judgment.

Titan Foundry is the secure chat interface your team uses daily - connected to your institution's data and documents through Titan Connectors. Titan's Banking Model is Titan's proprietary small language model that powers the banking -specific intelligence behind every response in both surfaces. Titan Agents are AI-powered digital workers that automate specific workflows end-to-end, from exception processing to compliance monitoring.

An SLM is a compact, specialized AI model - Titan's Banking Model is roughly 8 billion parameters, versus the hundreds of billions in a general-purpose LLM. Concentrating entirely on banking makes it more accurate on banking tasks, and small enough to run inside your own private cloud or data center. The model comes to your data, not the other way around.⁠⁠

Titan is purpose-built for American financial institutions, serving community banks, regional banks, super-regional institutions, and FinTechs. The platform is designed to deliver enterprise-grade AI governance without requiring an enterprise-scale IT team. Whether you are a $500 million community bank or a $50 billion regional institution, the deployment model is designed to meet your infrastructure and regulatory requirements.

Examiner posture on AI is evolving rapidly. The question regulators are asking has moved from "what AI are you using?" to "how do you govern it?" Titan is designed to answer that question: inspectable models, documented training data, on-premises deployment options, complete audit trails, and an update cycle controlled by the bank - not the vendor. Titan also maintains a close relationship with an Expert Network of financial lawyers, bank operators, and former regulators including a head of the OCC as part of our initiative to say close to how examiner expectations are evolving.

Titan supports enterprise single sign-on (SSO) and multi-factor authentication (MFA), with role-based access controls that govern what each user can see and do. Access is scoped to your institution's policies, and every data access and action is logged for audit, so entitlements map cleanly to your existing identity and governance frameworks.⁠⁠

Titan grounds every response in your data either through Titan Connectors or personal uploads, and it cites its sources for every single response so you can see exactly where it got it’s answer. Titan also provides a detailed Audit Log on each response which includes an Assurance Level reflecting how well it was able to answer your question with the evidence it had and a step-by-step breakdown of how it came up with the response.

Titan works alongside your existing stack: it is additive, not a rip-and-replace. Through Titan Connectors the platform is able to pull data from across your siloed systems, into a single, connected workspace. Your systems of record stay exactly where they are; Titan adds our governed intelligence and automation layer on top.⁠ That said, some clients find opportunities to replace certain systems with Titan.

Titan offers multiple deployment options such as multi-tenant, dedicated private cloud environments we stand up and manage on your behalf, and full deployment within your organization’s own infrastructure. We work with you to find the one that best fits your organization's governance and data residency posture. What remains constant across every deployment model is that your data is encrypted in transit and at rest, never shared, and never used to train our models or any other AI models.