CallUp AI
Combines RAG-powered knowledge bases, natural multilingual voice conversations, and real-time appointment booking. Features intelligent call transfers, post-call AI analysis, SMS/email automation, full call recording & analytics, role-based access, and Stripe subscription billing.
The Full Story
An AI startup aiming to revolutionize customer interactions for restaurants, law firms, healthcare, real estate, salons, and e-commerce.
Needed a robust, scalable multi-tenant SaaS architecture to handle complex AI voice interactions and seamless business onboarding.
Built a state-of-the-art AI SaaS using Next.js 14, Node.js, and MongoDB. Integrated Twilio for voice, Redis for caching, and deployed on AWS EC2. Implemented sophisticated RAG pipelines for contextual, human-like voice conversations.
A highly advanced, production-ready enterprise AI platform capable of handling automated multilingual calls and intricate booking workflows for diverse industries.
Project Goals
- Develop a multi-tenant AI voice platform
- Integrate RAG-powered knowledge bases for intelligent responses
- Implement real-time appointment booking and intelligent call transfers
- Create a comprehensive Super Admin and client dashboard
- Integrate Stripe for SaaS billing
Project Gallery
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Technologies Used
Every technology was selected for a reason — performance, developer experience, and long-term maintainability.
Key Features
Every feature was purpose-built to solve a real business need.
RAG-powered Knowledge Bases
Natural Multilingual Voice Conversations
Real-time Appointment Booking
Intelligent Call Transfers
Post-call AI Analysis & Recording
Multi-tenant SaaS with Stripe Billing
Project Statistics
AI Calls/Day
Industries Served
Development Time
Uptime
Our Development Process
A proven 7-stage process that keeps you informed, in control, and confident at every step of the journey.
Challenges & Solutions
Real problems we solved — and the technical decisions behind our solutions.
Low Latency Voice AI
Voice agents require ultra-low latency to feel natural and human-like during phone conversations.
Optimized the entire pipeline utilizing Node.js streams, Redis caching for RAG context, and high-performance AWS EC2 instances, achieving seamless conversational flow.
What the Client Said
“PRNexGen engineered an absolute masterpiece. The AI voice agents are incredibly natural, and the multi-tenant architecture is perfectly primed for scale.”
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