Air-gapped AI Deployment

Decagon is evolving its AI deployment strategies to support increasingly stringent enterprise infrastructure requirements, including air-gapped environments. This involves building custom telephony layers, self-hosting model inference within customer perimeters, and developing deep integrations with customer-specific internal systems. The company offers a spectrum of deployment options from standard SaaS to customer VPC deployments, catering to varying risk tolerances and regulatory needs. This post details the engineering challenges and learnings from a customer VPC deployment for a financial services company, including building a self-hosted telephony layer and reconstructing model inference infrastructure within the customer's perimeter.