What an air-gapped AI deployment actually requires | Decagon

What this post added

This post details the engineering effort required to deploy Decagon's conversational AI platform within a customer's VPC for air-gapped environments. Key technical contributions include building a self-hosted telephony layer from scratch using SIP signaling and media handling primitives, enabling self-hosted model inference for Decagon's proprietary models, and developing custom connectors for deep integration with customer-specific internal tooling, authentication systems, and data systems. The post also outlines different deployment models (SaaS, Single-tenant SaaS, Cloud-prem/VPC) and their associated engineering trade-offs.