WhatsApp Business Automation
AI agents on WhatsApp handling inquiries, orders, notifications, and appointments. Text, voice messages, and media. Multilingual.
Conversational AI That
Conversational AI That Handles Real Conversations, Not Just Scripts
Intelligent chatbots, voice agents, and messaging automation that understand context, handle complexity, and escalate gracefully. Built for WhatsApp, web, voice, and enterprise messaging platforms.
AI-native delivery
Senior oversight
Production focus
150+Happy Clients
6+Years Delivery
10+Countries Served
24hResponse Window
How We Work
Delivery that holds up in production
Intelligent chatbots, voice agents, and messaging automation that understand context, handle complexity, and escalate gracefully. Built for WhatsApp, web, voice, and enterprise messaging platforms.
What We Deliver
Conversational AI That Handles Real Conversation Quantum Infoway ships
Web Chat & Support Bots
Intelligent chat interfaces accessing your knowledge base, CRM, and product catalog to resolve inquiries without human intervention.
Voice AI Agents
Phone and voice-based AI for customer service, scheduling, and information retrieval. Multiple languages and accents supported.
Multilingual Conversational Systems
AI that operates across languages without separate bot instances. Real-time translation and language-switching within conversations.
Enterprise Messaging Integration
Conversational AI on Slack, Teams, or custom platforms for IT helpdesk, HR inquiries, and knowledge base access.
Conversation Analytics & Optimization
Post-deployment analytics on patterns, resolution rates, satisfaction, and drop-offs. Continuous quality improvement.
Let's Build The Next Big Thing
Fill in the form or schedule a meeting to map out a path to success.
Technology We Work With
Stack Quantum Infoway works in
Core
PythonTypeScriptAWSOpenAI
Our Work
Work we have shipped
Shipped an AI chat platform with text and voice for a consumer wellness brand
- Text and voice conversational experiences for consumer wellness
- Coach-style flows designed for engagement and trust
- Production monitoring for quality, safety, and satisfaction
4.2/5User rating
Voice+TextChannels
LiveIn production
Built two WhatsApp AI agents and optimised cloud costs for a B2B logistics operator
- Centralized tracking that replaced spreadsheet-driven fleet ops
- Live status views for dispatchers and field teams
- Reliable mobile and web surfaces for day-to-day operations
LiveFleet tracking
LessManual ops
Mobile+ web
Democratized data access with a natural language analytics bot cutting reporting time by 50%
- Natural-language access to business metrics without waiting on analysts
- Grounded answers from company data, not generic chat
- Adoption-friendly UX for operators and leadership
NLAnalytics
FasterDecisions
GroundedOn your data
Built a conversational AI coach achieving 4.2/5 user satisfaction with 65% return rate
- Text and voice conversational experiences for consumer wellness
- Coach-style flows designed for engagement and trust
- Production monitoring for quality, safety, and satisfaction
4.2/5User rating
Voice+TextChannels
LiveIn production
Guide
How Quantum Infoway thinks about this work
Why Our Conversational AI Works in the Real World
The gap between a demo chatbot and a production conversational system is enormous. We have built systems that handle real transactions - orders, queries, multilingual conversations.
What is the difference between a chatbot and conversational AI?
An old style chatbot follows a decision tree. It only answers what it was scripted to answer and breaks the moment a customer phrases something in an unexpected way. Conversational AI is built on large language models, so it understands natural language, infers what the customer actually wants, and answers in context across a multi turn conversation. The practical result is that customers stop hunting for the magic words and simply talk, and the system keeps up.
Are voice AI agents ready for production in 2026?
Yes. The speech models and low latency streaming that make a voice agent feel natural have matured to the point where voice is a real channel, not a demo. A production voice agent listens while the caller is still speaking, handles interruptions, and responds fast enough that the conversation does not feel stilted. We build voice agents that transcribe with Whisper class models, reason with a language model, and speak back, connected to your booking, ordering, or support systems so the call actually gets something done. Our voice AI agents production guide covers what separates a working voice agent from a fragile one.
How do you stop a conversational AI from giving wrong answers?
We ground it. Instead of letting the model answer from general training, we retrieve from your trusted sources, your product docs, policies, and data, and have the model answer from that material with the source attached. On top of retrieval we add guardrails that constrain what the assistant can say, validation on anything that touches a transaction, and a confidence threshold that hands the conversation to a person when the system is unsure. The combination is what turns a plausible sounding bot into one you can put in front of customers.
Which channels can conversational AI run on?
One assistant can serve many channels from the same core. We deploy to your website and app, to WhatsApp Business and other messaging platforms, and to voice for phone lines. The knowledge, the tools, and the guardrails are shared, so the assistant behaves consistently whether a customer types on the web or calls in, and you maintain one system rather than a separate bot per channel.
Let's Build The Next Big Thing
Fill in the form or schedule a meeting to map out a path to success.
Talk to an ExpertFAQ
Conversational AI That Handles Real Conversation FAQs
What is the difference between a rule-based chatbot and conversational AI?
Rule-based chatbots follow predefined decision trees and only handle scenarios explicitly programmed. Conversational AI uses large language models to understand natural language, infer intent, and generate contextually appropriate responses. It handles unexpected questions, multi-turn conversations, and nuanced requests that rule-based bots cannot.
Can conversational AI handle multiple languages?
Yes. Our systems support multilingual conversations within a single deployment. Users can switch languages mid-conversation and the system responds in the appropriate language. This is particularly valuable for businesses serving customers across multiple regions and language groups.
How do you handle situations where the AI cannot resolve an inquiry?
Every system includes configurable escalation paths. When the AI detects uncertainty, high-stakes decisions, or customer frustration, it transfers the conversation to a human agent with full context preserved. The handoff is transparent and the human agent sees the entire conversation history.
Can you build a WhatsApp chatbot for our business?
Yes. We build on the official WhatsApp Business API - bots that handle text and voice messages, process media, manage appointments, and trigger transactions. We have built WhatsApp agents that handle voice-based ordering, customer support, and multilingual communication.
What channels can conversational AI be deployed on?
Web chat, WhatsApp, SMS, voice (phone), Slack, Microsoft Teams, Facebook Messenger, and custom mobile applications. We build channel-agnostic conversational logic deployable across multiple channels from a single system, with platform-specific adaptations.
How do you measure the success of a conversational AI deployment?
Resolution rate (conversations resolved without human intervention), customer satisfaction scores, average handling time, drop-off rate, and cost per interaction compared to human-only service. We set baseline metrics before launch and track improvement continuously.
Do you work with US companies?
Yes. Most of our clients are in the USA, and we work with them directly from our offices in Ahmedabad and Jamnagar, India. Our team can work during US business hours when a project needs it. We invoice in USD, with euro and INR invoicing also available. Every engagement includes full IP assignment, and we sign an NDA before discovery. US clients include Highlands Community Charter in California, ABC Carpet and Home in New York, Deep Meditate, and Choice Digital.
What does conversational AI development cost for US companies?
Our USD rates for conversational AI development run $25 to $50 per hour depending on seniority and stack, a fraction of the $150 to $300 per hour US specialists typically bill for comparable scope. We work on both fixed scope and retainer models. Fixed scope projects get an estimate before work starts, and most clients choose a retainer, which keeps the team building against your current priorities as requirements change.