Glia operates a contact-center and engagement platform purpose-built for regional financial institutions, currently serving over 700 banks and credit unions across all 50 U.S. states. The tech stack (Go, Elixir, Python, React on AWS with Kubernetes, Kafka, and both Amazon Bedrock and Google Gemini) reflects a hybrid cloud-native + AI-native architecture. The project mix—heavy on security controls, compliance, and SOC 2 audit work, alongside CI/CD modernization—signals Glia is prioritizing trust and regulatory posture as a defensibility lever in a regulated vertical; this aligns with stated pain points around compliance and customer trust.
Glia builds an AI-powered platform that handles customer interactions (voice, chat, video, messaging) for community financial institutions. The product is designed to reduce call-center overhead while improving customer experience; the company claims customers see >50% efficiency gains and use those savings to reinvest in growth, outreach, or branch modernization rather than cutting headcount. The platform serves mid-market and smaller regional players—banks and credit unions—rather than mega-cap institutions, positioning Glia as an alternative to enterprise contact-center vendors. Glia is headquartered in New York and currently employs 201–500 people.
Backend: Go, Elixir, Ruby, Python. Frontend: React, JavaScript, TypeScript, Electron. Cloud: AWS (EKS, DynamoDB, Bedrock), Kubernetes, Docker. Data: PostgreSQL, Redis, Kafka, RabbitMQ. AI: Amazon Bedrock, Google Gemini. Monitoring: Datadog, Sentry.
Glia serves more than 700 banks and credit unions across all 50 U.S. states.
Glia'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.