Glia sells an AI agent layer to banks and credit unions, built on a real-time communications core of WebRTC, WebSockets and Elixir, with Kafka, RabbitMQ and Apache Druid handling event streams and analytics on AWS Kubernetes with Istio. Hiring tilts senior and splits between sales and engineering, while project signals around SLO tooling, incident response and observability point to an SRE maturity push behind platform reliability claims.
Glia, founded in 2012 and headquartered in New York, builds an AI platform for community and regional banks and credit unions. Its specialized agents sit on top of a financial institution's existing systems and automate customer interactions and workflows across voice and digital channels, from front-office service to back-office operations. The company is privately held with 201–500 employees and hires across the United States, Canada, Mexico, Estonia and Poland. Go-to-market runs through consultative and inbound sales supported by Salesforce, Salesloft, ZoomInfo and Sales Navigator.
Glia runs on AWS with Kubernetes, Istio and APISIX, using Elixir, Ruby, Go, Java, Kotlin, Swift and React, plus PostgreSQL, Kafka, RabbitMQ, Apache Druid, Snowflake, Datadog, Terraform and Jenkins.
Glia is headquartered in New York and hires in the United States, Canada, Mexico, Estonia and Poland, with openings concentrated in sales and engineering.
Job posts point to an SRE observability platform, SLO/SLA and incident response tooling, a risk monitoring system, the Nexus interaction engine, AI-assisted coding workflows and AI workforce expansion.
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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.