Building a Vertically Integrated AI Stack: How Load Bearing Empire Consolidated 6 Businesses on Supabase, VAPI, and Self-Hosted
When you're running real estate wholesaling, demolition, valet services, credit repair, mineral rights, and SaaS simultaneously, vendor lock-in isn't an option—it's a liability. This is the infrastructure story behind Lo
When you're running real estate wholesaling, demolition, valet services, credit repair, mineral rights, and SaaS simultaneously, vendor lock-in isn't an option—it's a liability. This is the infrastructure story behind Load Bearing Empire: a complete rip-and-replace of Twilio, SendGrid, and Make.com automation in favor of a self-hosted backbone built on Supabase, VAPI's multi-agent orchestration, Asterisk 18.10 PBX on Vultr, and a custom JARVIS Brain Router handling cross-business logic. We deployed 26 specialized VAPI agents across operational workflows, connected them to a single 98-table Supabase instance (project ID: whxtjboruayowkqyjvcq) running 42 Edge Functions, and eliminated $8K+ monthly in SaaS overhead while cutting integration latency to sub-100ms. Here's what it actually cost to build, why the traditional startup stack failed at scale, and the exact architecture decisions that let one engineer operate six revenue streams from Day One.
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.