Building a Multi-Vertical AI Stack on Supabase and Asterisk: How Load Bearing Empire Replaced Twilio + SendGrid

Description and use

Migrating from Twilio and SendGrid to a self‑hosted stack on Supabase and Asterisk enabled Load Bearing Empire to manage six business verticals with a single engineer, reducing costs and increasing data control.

Problem

Vendor lock‑in with Twilio, SendGrid, and Make.com limited flexibility and increased costs for a growing AI‑driven business portfolio.

Outcome

The migration eliminated vendor lock‑in, reduced costs, and provided full control over data and feature development, allowing a single engineer to manage six verticals efficiently.

Workflow

• 1. Design Supabase schema with 98 tables to capture all business data.
• 2. Implement 42 Supabase Edge Functions for business logic and API endpoints.
• 3. Deploy Asterisk 18.10 on a Vultr instance and configure PBX for multi‑tenant voice services.
• 4. Set up VAPI to orchestrate 26 AI agents across verticals.
• 5. Build a custom JARVIS Brain Router to route requests between Supabase, VAPI, and Asterisk.
• 6. Replace Twilio, SendGrid, and Make.com integrations with the new stack.
• 7. Test end‑to‑end workflows and monitor performance and cost metrics.

Evidence

From a single phone, Domonique Luchin architected a vertically integrated AI empire spanning real estate wholesaling, demolition, credit repair, and mineral rights—all powered by a unified tech stack.

Source

Supabase (98 tables, 42 Edge Functions) as the source of truth, VAPI orchestrating 26 AI agents, Asterisk 18.10 running enterprise-grade telephony on Vultr, and a custom JARVIS Brain Router tying it all together.

Source

We'll walk through the technical architecture that lets a single engineer manage six revenue-generating businesses in parallel—schema design, stateless agent routing, PBX configuration for multi-tenant voice, and the cost/reliability trade-offs that made self-hosting worth the operational overhead.

Source