MultiModel
MultiModel provides financial-grade AI assistants for banks and credit unions, combining frontier models like ChatGPT, Claude, and Gemini with compliance guardrails. The platform deploys inside the institution's own Azure or AWS tenant, with real-time data redaction, full audit logging, and retrieval-augmented generation that answers only from approved documents. Structured assistants cover lending, HR, IT help desk, and other departments, with tiered seating plans from kiosk mode to whole-organization rollouts.
- AI Agents
- Artificial Intelligence
- Financial Technology
- Software Only
- Regulatory & Compliance Technology
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Banks and credit unions face pressure to adopt generative AI but struggle with security, compliance, and governance concerns unique to regulated financial institutions. Generic AI tools lack the controls needed for audit trails, data redaction, and policy enforcement, while staff lack the training to use AI effectively for specific banking workflows.
Solution
MultiModel delivers financial-grade AI assistants purpose-built for banks and credit unions, combining frontier AI models with the guardrails institutions need. The platform provides structured assistants for specific departments—lending, compliance, retail, operations, HR, and IT—that work from the institution's own approved documents and workflows. All data is excluded from AI model training, sensitive information is redacted in real time, and every prompt is logged for audit. The solution deploys inside the institution's own Azure or AWS tenant with SSO via Entra, Okta, or Active Directory, enabling banks to operationalize AI across routine business processes while maintaining compliance. MultiModel offers tiered seating plans from kiosk mode for shared screens to standard seats that allow staff to build custom assistants, with implementation support and role-based training for whole-organization rollouts.
Target Audience
Primary customers are banks, credit unions, and other financial institutions including lenders, servicers, investment managers, and insurers, with secondary markets in healthcare. Users range from CIOs, CISOs, and compliance officers to branch staff, HR teams, IT help desks, and loan processors.
Features
- Structured AI assistants for lending, risk & compliance, retail & branch banking, back office, administrative, and IT departments
- Multi-model support including ChatGPT, Claude, Gemini, Copilot, Grok, and Perplexity in one unified menu
- Real-time redaction of sensitive data before it reaches any AI model (DLP)
- Full audit logging with retention of user prompt logs and recorded access to audit trails
- Deployment inside the institution's own cloud tenant (Azure or AWS) keeping inference, logs, and data inside the perimeter
- Retrieval-augmented generation (RAG) that answers only from approved documents with citations
- Side-by-side comparison of AI responses from multiple models
- Kiosk mode for shared-screen quick answers with custom URL and branding
- Single sign-on via Microsoft Entra ID, Okta, and Active Directory
- SOC 2 compliance and AI governance policy, oversight, and board reporting