Agentic AI platform for community banks and credit unions
interface.ai builds autonomous AI solutions for financial institutions, with a tech stack spanning Python, Node.js, Go, and TypeScript across AWS and GCP infrastructure. The company is actively adopting Cursor, Outreach, ZoomInfo, and Gong while integrating Fiserv and MeridianLink banking systems — signaling a shift toward sales-motion tooling and deeper fintech partnerships. Hiring velocity is accelerating across engineering, sales, and product, with notable leadership gaps in CFO and Head of Engineering roles now open, indicating rapid scaling of go-to-market and platform capabilities.
Notable leadership hires: Chief Financial Officer, Head of Engineering
interface.ai provides agentic AI solutions purpose-built for community banks and credit unions. The platform delivers a unified experience across voice, digital, and employee-assisted channels, powered by a single AI engine that learns and operates autonomously. The product is positioned on three pillars: compliance automation, customer satisfaction, and financial wellness. The company operates at 51–200 employees and is headquartered in San Francisco. Active projects include a universal banking assistant, low-latency backend systems, and pre-built integration bundles — reflecting a focus on reducing time-to-value for financial institutions migrating from legacy systems.
Python, Node.js, Go, TypeScript, React, Vue, Docker, Kubernetes, AWS, GCP, and banking integrations with Fiserv and MeridianLink. DevOps uses Terraform, CloudFormation, GuardDuty, and AWS Security Hub.
A universal banking assistant, AI-powered digital banking chat, low-latency backend systems, and pre-built integration bundles. Key initiatives include segment-specific integration strategy, AI platform consolidation, and data governance implementation.
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.