Titan is a banking-native AI platform designed to accelerate productivity while solving the governance, security, and cost challenges of general-purpose AI. Titan's Banking Models, banking and institutional context, and agents speed up the daily work of banking, with human review at every decision gate. Every response comes with a full audit trail. Titan serves community, regional, and super-regional banks, credit unions, and fintechs.

General-purpose AI is optimized for breadth across thousands of domains. Titan's banking-native AI is trained on banking concepts and regulations, and it is built on a knowledge graph of how banking concepts and regulations relate, plus your institution's own policies and systems. In blind head-to-head evaluations across nearly 9,000 banking compliance questions, Titan's answers were preferred over leading frontier models more than 70% of the time on average. Titan also adds what regulated work requires: an audit trail and assurance level with every answer, human review, and deployment in your own environment.

Yes. Titan has completed a SOC 2 Type 2 examination by an independent CPA firm, covering the security criteria. The report is available under NDA through the Trust Center.

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 process 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 gives your model risk management (MRM) team what it needs to fulfill its role. Titan's training corpus is fully documented. When deployed in your environment, the weights and decision logic of our Banking Models can be inspected, and updates happen on your schedule after your own review. Every response carries an assurance level and a chain-of-thought audit log structured for examiner review, and Titan's evaluation harness produces documentation suitable for third-party validation.

Titan Foundry is available and ready to deliver value from day one. From the moment you ask your first question you're getting 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.

Regulators don't approve AI vendors. They expect banks to apply their existing governance, model risk management, and third-party risk practices to AI. Models that influence credit, compliance, or risk decisions are likely to be treated as decision-making models that need independent validation. Examiners look for documented data sources, explainable outputs, model inventories, change logs, and clear human accountability. Titan supplies that evidence: a documented training corpus, an audit trail with every response, human review at defined decision points, and evaluation documentation your validators can use.

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 its 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 arrived at 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: 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.