Primitive provides an AI operating system for financial institutions that centralizes the deployment, governance, and scaling of multiple AI agents.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions struggle to move beyond initial AI agent deployment because they lack tools for governing, scaling, and demonstrating measurable return on investment, leading to stalled adoption and unmanaged risk.
Solution
Primitive offers an AI operating system designed for financial services that centralizes the deployment, governance, and scaling of multiple AI agents. The platform provides a unified control layer that integrates with existing legacy systems while enforcing policy, monitoring performance, and tracking ROI. By abstracting the operational complexity, institutions can connect any required AI agent, maintain oversight, and obtain quantifiable outcomes without extensive custom engineering.
Target Audience
Primary customers are banks, credit unions, and fintech firms that need to operationalize multiple AI models while retaining control and measurable business value.
Features
- Centralized orchestration engine that manages lifecycle (deployment, updates, decommission) of heterogeneous AI agents
- Policy-driven governance framework enforcing compliance, risk limits, and audit trails across all agents
- Real-time performance monitoring and analytics dashboards that quantify ROI and operational impact
- Scalable infrastructure that auto‑provisions compute resources based on workload demand
- Seamless integration adapters for legacy banking systems, data warehouses, and cloud platforms
- Role‑based access controls allowing people to lead and intervene while agents execute autonomously