Agentic AI platform for community banks and credit unions
interface.ai sells agentic AI for community banks and credit unions, running voice, digital and staff-assist channels on one shared AI layer. Its stack pairs Python, Go and Node.js on Kubernetes with GuardDuty, Security Hub, OPA and Sentinel, a policy-as-code security posture built for bank vendor diligence. Accelerating, engineering-led hiring with new Chief Engineer and CFO searches points to a rebuild around an AI-native core runtime.
Notable leadership hires: Chief Engineer, Chief Financial Officer, Chief of Staff
interface.ai is a San Francisco-based, privately held company founded in 2019 that builds AI automation for financial institutions, focused on community banks and credit unions. Its platform covers voice, digital and employee-assisted channels through a single learning AI system, with pre-trained solutions designed for integration with existing banking infrastructure. The company employs 51–200 people and hires in the United States. Its product work spans contact center automation, consumer banking experiences and fraud detection, with compliance a core part of the offering.
interface.ai uses Python, Go, Java, Node.js and TypeScript, React and Vue on the front end, PostgreSQL and OpenSearch for data, Kubernetes, Docker and Terraform on AWS, plus Datadog, Grafana and Salesforce Service Cloud.
Yes. Hiring is accelerating and weighted toward engineering at senior, staff and principal levels, with leadership searches including Chief Engineer, Chief Financial Officer and Chief of Staff, all in the United States.
Current projects include an AI-first contact center, an AI-native consumer banking experience, a core AI runtime, cross-customer fraud detection, and integration architecture for core banking and telephony platforms.
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interface.ai's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.