Vallorex AI Voice Advisor
We built our own real-time AI voice agent that handles inbound customer calls and outbound business calls, and deployed it live on our own website as a working demo.
Ultra-Low
Response Latency
24/7
Always Available
Inbound + Outbound
Call Handling
0
Human Agents Required
Client
Vallorex (Internal Product)
Industry
AI / Voice Technology / Business Automation
Timeline
Internal Build, 2025
Team Size
Vallorex Engineering Team
Year
2025
Status
Live
01 / THE CHALLENGE
The Challenge
Businesses miss leads and frustrate customers every time a call goes unanswered or gets stuck in an outdated IVR menu. Hiring and training human call agents is expensive, inconsistent, and impossible to scale affordably. Most AI chatbots handle text but fail completely the moment a customer picks up the phone.
Vallorex identified a clear gap: businesses needed a voice-first AI layer that could hold real, natural phone conversations, answering complex questions, qualifying leads, booking demos, and representing a business professionally, all without a human agent on the line. We decided to build it ourselves first, deploying it live on our own homepage as a working proof-of-concept before offering it to clients.
Key requirements:
- Handle both inbound calls (customers calling the business) and outbound calls (AI calling customers on behalf of the business) - Ultra-low latency so the conversation feels natural, not robotic - Deep business context awareness so the agent must answer real questions accurately, not just route callers - Zero-training deployment for end businesses
02 / OUR APPROACH
Our Approach
Real-Time Voice Pipeline
Built a real-time streaming audio pipeline using WebRTC and WebSocket-based transport. Speech-to-text processing runs with sub-second latency, feeding directly into the LLM engine so responses begin generating before the caller has finished speaking. Text-to-speech output is streamed back continuously, eliminating the pause-and-wait feel of older voice bots.
LLM Conversation Engine
Fine-tuned and prompted a large language model on Vallorex's full service catalogue, FAQs, pricing context, and business-specific knowledge. The agent can handle multi-turn conversations, remember context from earlier in the call, and answer nuanced questions about AI solutions, automation services, blockchain engineering, and how to book a demo.
Inbound & Outbound Call Architecture
Designed a dual-mode call architecture. In inbound mode, the agent greets callers, identifies their needs, answers questions, and routes or escalates when needed. In outbound mode, the agent initiates calls on behalf of a business, following a configurable script while adapting naturally to what the recipient says.
Live Website Demo Integration
Rather than showing a pre-recorded demo, we deployed the voice agent directly on the Vallorex homepage as a live, interactive widget. Any visitor can click "Start Conversation" and speak with the AI in real time. The widget displays live status (Listening / Speaking), real-time conversation transcripts, latency stats, and call controls (Mute / End Call).
03 / ARCHITECTURE
Technical Architecture
04 / RESULTS
Results & Impact
Ultra-Low
Response Latency
24/7
Always Available
Inbound + Outbound
Call Handling
0
Human Agents Required
- Live on the Vallorex homepage: any visitor can speak with the AI agent in real time, no login or setup required
- Handles complex multi-turn conversations: service questions, pricing, demo booking, and business fit assessment
- Ultra-low latency pipeline delivers natural conversation rhythm with no noticeable pause between speaking and response
- Dual inbound/outbound architecture means the same system can answer your business calls and proactively call your leads
- Zero human agents required per call; scales to unlimited concurrent calls without additional headcount
- Fully configurable for any business: custom knowledge base, brand voice, call scripts, and escalation logic
05 / PRODUCT
Screenshots & Product

06 / USE CASES
Use Cases
Sales & Lead Qualification
AI dials prospects from your CRM, qualifies them with natural conversation, and books demos directly into your calendar without an SDR.
24/7 Customer Support
Handles inbound FAQs, service queries, and troubleshooting calls around the clock without a human on standby.
Appointment & Demo Booking
Calls customers to confirm, reschedule, or follow up on bookings with a professional, natural-sounding voice.
Business Inquiry Handling
Acts as the first point of contact for inbound business calls, answering questions about your services, pricing, and availability on your behalf.
Next
Related Case Studies
Artificial Intelligence
Vallorex AI Lead Engine
Autonomous multi-agent system for B2B lead generation, qualification, and personalised outreach
Read case studyArtificial Intelligence
Adge-Angle
Enterprise-grade AI platform for high-volume image background removal with pixel-perfect accuracy at millisecond speeds.
Read case studyArtificial Intelligence
Helix
WhatsApp-native AI assistant with six specialist agents, 50+ OAuth integrations, and a React control room, with multi-agent LangGraph, sub-100ms memory, and multi-provider LLMs.
Read case study
