Runnova: Enterprise Autonomous AI Employee & Voice Platform
Full-stack enterprise AI platform powering autonomous multimodal voice agents, precision RAG knowledge graphs, and real-time multi-channel automations.
System Architecture & Overview
Runnova is an enterprise-grade digital employee platform architected by Abbas El Kady. Built with low-latency bidirectional voice capabilities, verified RAG knowledge retrieval, and atomic tool dispatching, Runnova acts as an autonomous sales and support specialist capable of holding contextual customer calls, updating CRMs, and qualifying leads 24/7.
The Challenge / Problem
Enterprises lose up to 40% of leads due to multi-hour qualification delays, clunky IVR menus, and disconnected CRM databases that require constant manual synchronization.
Engineering Solution
Engineered Runnova: an event-driven AI platform combining sub-450ms voice pipelines, hybrid dense/sparse vector retrieval, and automated tool-calling integrations across 77+ production API routes.
Technical Hardening & Challenges
Achieving sub-second bidirectional voice endpointing with Egyptian Arabic accents, implementing atomic webhook replay protection via Redis and PostgreSQL, and ensuring strict multi-tenant context isolation.
Commercial & Production Result
Engineered 77+ production routes, 10/10 automated platform security and integration tests passed, sub-450ms voice latency, and 99.4% intent accuracy in live staging pilots.
Pipeline & Architecture Flow
Client Web SDK / Vapi -> Bidirectional WebSocket -> Server Policy Guard -> Gemini 1.5 Pro / Flash -> Tool Dispatcher -> Redis Queue -> PostgreSQL.
Applied AI & Engineering Capabilities
System Interface & Analytics
