Ringlyn - AI Voice Agent Platform
Built an intelligent, human-like voice AI system that seamlessly automates business calls, from lead qualification to appointment booking, significantly reducing manual workload.
Automated Availability
Reduction in Call Wait Time
Concurrent Calls Handled
Call Accuracy Rate
Ringlyn
Ringlyn is a SaaS platform that uses advanced voice AI to handle business calls—whether it's lead qualification, appointment booking or customer support—reducing manual agent load and improving responsiveness.
Problem Statement
Businesses were overwhelmed with high call volumes, leading to long wait times, missed opportunities, and expensive staffing costs. Manual call handling was inefficient and couldn't scale with business growth.
Challenges Faced
Creating a natural-sounding AI that could handle complex business conversations while maintaining context and accuracy.
Natural Language Processing
Building AI that understands context, accents, and business-specific terminology across different industries.
Real-Time Processing
Ensuring low-latency voice processing for natural conversation flow without awkward pauses.
Data Security & Compliance
Handling sensitive business and customer data while maintaining GDPR and privacy compliance.
Integration Complexity
Seamlessly integrating with various CRM systems, calendars, and business tools.
Our Development Roadmap
A strategic approach to building a production-ready AI voice platform.
AI Research & Planning
Evaluated AI models, voice synthesis options, and defined conversation flows for different use cases.
Core Platform Development
Built the web application, backend APIs, database architecture, and authentication system.
AI Integration & Training
Integrated OpenAI, ElevenLabs, and Twilio. Trained models on business-specific scenarios.
Testing & Optimization
Conducted extensive testing for call quality, latency, accuracy, and edge cases.
AI Research & Planning
Evaluated AI models, voice synthesis options, and defined conversation flows for different use cases.
Core Platform Development
Built the web application, backend APIs, database architecture, and authentication system.
AI Integration & Training
Integrated OpenAI, ElevenLabs, and Twilio. Trained models on business-specific scenarios.
Testing & Optimization
Conducted extensive testing for call quality, latency, accuracy, and edge cases.
Our Solution
Divtechnosoft developed Ringlyn's complete system: we built the web front-end, backend APIs, integrated the voice-AI engine, and established the infrastructure for scale.
Advanced AI Engine
Integrated OpenAI and ElevenLabs for natural voice synthesis and intelligent conversation handling.
Telephony Integration
Seamless Twilio integration for inbound/outbound calling with real-time call routing.
Analytics Dashboard
Comprehensive dashboard for monitoring call metrics, agent performance, and business insights.
Secure Infrastructure
Built on Supabase with role-based access control and encrypted data storage.
Key Features
Powerful features that enable businesses to automate their communication workflows.
Inbound & Outbound AI Voice Agents
Handle both incoming customer calls and proactive outbound campaigns with AI agents.
Call-Routing & Workflow Automation
Intelligent call routing based on intent, priority, and agent availability.
Lead Qualification & Appointment Booking
Automatically qualify leads, schedule appointments, and update CRM systems.
Role-Based Access Control
Granular permissions for admins, managers, and agents with activity tracking.
Real-Time Analytics
Live dashboards showing call metrics, conversion rates, and agent performance.
CRM & Calendar Integrations
API layer for seamless integration with popular CRM and scheduling systems.
Secure & Scalable
Enterprise-grade security with infrastructure that scales to handle high call volumes.
Multi-Language Support
AI agents capable of handling conversations in multiple languages.
"Divtechnosoft transformed our vision into reality. The AI voice platform they built handles our customer calls flawlessly, saving us countless hours and improving customer satisfaction significantly."
What We Learned
Key insights from building an AI-powered voice communication platform.
AI Model Selection is Critical
Choosing the right balance between response quality, latency, and cost significantly impacts user experience.
Context Management is Key
Maintaining conversation context across multiple turns is essential for natural interactions.
Latency Optimization Matters
Every millisecond counts in voice conversations—optimizing for low latency is crucial.
Fallback Strategies are Essential
Having robust fallback mechanisms ensures graceful handling when AI encounters edge cases.
Technologies Used
Cutting-edge tech stack powering intelligent voice automation.
Next.js
Supabase
Twilio
OpenAI
Node.js
Socket.io
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