Voice AI & Chatbot Development That Resolves Calls
Acquaint Softtech delivers Voice AI & Chatbot Development services, building voice assistants, AI voice agents, and chatbots that understand speech and text, answer from your knowledge base, take simple actions, and hand over to human agents when needed. Our 13+ years of engineering experience and 70+ in-house engineers power every conversation.
- Voice and text: phone, app, web and messaging from one brain.
- Natural speed: streaming speech-to-text and text-to-speech.
- No dead ends: handover with transcripts and context.
- Proven expertise: 4.8/5 Clutch, ISO 27001, 70+ engineers.
What Are Voice AI & Chatbot Development Services?
How conversational AI talks and types.
Voice AI and chatbot development services design, build and run conversational AI that understands people and answers from your knowledge, in text chat and over the phone. They connect speech-to-text, large language models, your knowledge base and natural text-to-speech, so a voice bot and a chatbot give the same accurate answer.
What AI chatbot has a voice? ChatGPT voice mode, Gemini Live, Microsoft Copilot and Amazon Alexa all talk back, and we build that same voice experience for your business, trained on your content.
Signs your team is ready for an AI voice agent.
Voice AI earns its place when callers wait on hold, chat queues pile up and your team repeats the same answers by phone and by text. It also fits when callers struggle with "press 1" menus, or when field teams need hands-free help.
Why Invest in Voice AI Now?
Many customers still prefer to call, and every minute on hold costs trust. Voice AI answers instantly, while chatbots cover the people who would rather type.
AI voice agents for call centers
Answer calls, solve routine requests and route the rest.
Smart IVR replacement
Callers say what they need instead of pressing numbers.
Appointment voice bots
Book, move and confirm appointments by phone or chat.
Website and app chatbots
Text answers from your knowledge base, with sources.
In-app voice assistants
Hands-free help inside mobile and field apps for faster task completion.
Call summaries and analytics
Transcripts, summaries and sentiment for every call.
Which Voice AI Solution Fits Your Calls?
Each voice AI solution suits a different moment in the customer journey. We recommend one voice bot or chatbot pattern in writing before any build starts.
AI Voice Agents
Conversational IVR
In-App Voice Assistants
Omnichannel Voice and Chat
Six Problems Voice Bots and Chatbots Solve
Each problem below is a real call or chat gap, and names the client platform it fits where we can. They show where voice bots and chatbots pay back first.
Customers call to check visits
The voice fix: a voice bot reading live job status.
Operators cannot type in the field
The voice fix: an in-app voice assistant for guided steps.
Support calls queue up
The voice fix: an AI voice agent with priority routing.
Patients phone to book
The voice fix: a booking voice bot linked to the calendar.
Callers lost in IVR menus
The voice fix: conversational IVR that understands requests.
Calls leave no insight
The voice fix: transcripts, summaries and sentiment trends.
When to Use a Voice Bot or Chatbot
Use voice when hands or eyes are busy, and chat when people want to read, copy or share. Most clients run a voice bot and a chatbot from one knowledge base with human handover.
Nine Voice AI & Chatbot Services We Deliver
Each of our voice AI and chatbot services has a defined scope and a clear deliverable. As a voice AI and chatbot development service provider, we start on one line or channel and expand once callers trust it.
Voice AI Consulting
AI Voice Agent Development
Conversational IVR
Custom AI Chatbot Development
In-App Voice Assistants
Speech-to-Text and Brand Voice
Telephony Integration
Call Center AI and Analytics
Testing and Optimization
How a Voice AI Agent Hears and Speaks
A natural voice AI agent depends on five steps happening in under a second. Speed and accuracy at every step separate a helpful voice bot from a frustrating one.
Our rule: stream every step so callers hear a reply in under a second, and let them interrupt like a real conversation.
Traditional IVR vs Conversational IVR
Keypad menus were built for systems, not callers. Conversational IVR and AI voice agents let people say what they need and get it resolved.
What Every Voice Bot We Build Gets Right
Callers hang up on slow, robotic voice bots, and chat users abandon chatbots that guess. These eight rules come standard with every voice bot and chatbot we build.
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Answer in under a second
Keep responses fast with optimized speech recognition, lightweight models, and efficient retrieval, so callers get useful answers without awkward pauses.
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Allow interruptions
Let people interrupt naturally, change topics, or correct details without restarting, while the assistant listens, adapts, and responds to requests.
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Answer from your content
Ground replies in approved documents, product details, and knowledge bases, helping the assistant provide relevant answers instead of inventing information.
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Confirm before acting
Require explicit confirmation before bookings, payments, account changes, or other potentially sensitive actions, keeping users informed and reducing costly mistakes.
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Always offer a human
Make human handoff easy when requests become complex, callers feel frustrated, or the assistant cannot confidently resolve customer issues quickly.
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Sound like your brand
Match your brand’s tone, vocabulary, pacing, and personality to keep every customer conversation natural, consistent, and instantly recognizable everywhere, always.
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Protect callers
Use secure data handling, access controls, and clear retention policies to protect personal information during every customer interaction across channels.
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Measure every conversation
Track resolution rates, handoffs, response times, and customer satisfaction to identify weak points and improve performance continuously with measurable results.
Secure Voice AI That Protects Every Word
Calls and chats carry names, account details and payment questions. Secure voice AI lets you control what the voice bot hears, stores and says, with every conversation logged.
ISO 27001 certified
Company-wide security management.
NDA before discussion
Signed before recordings or data are shared.
PII redaction in transcripts
Personal details masked automatically.
Encrypted recordings
Calls encrypted with retention rules.
Caller verification
Identity checks before account details.
Prompt injection detection
Misuse and off-topic requests blocked.
Conversation audit logs
Every call and chat recorded for review.
100% IP ownership
Code delivered to your repository.
Voice AI for the Industries We Serve
Every industry has its own call types, tone and compliance rules for voice AI. Where we have built the platform a voice bot plugs into, we mark it.
Field Services
Industrial Operations
Telecom and ISPs
Healthcare
Banking and FinTech
eCommerce
Travel and Hospitality
Real Estate
Insurance
Voice AI Development Led by Our Founder
Your voice bot speaks for your brand on every call, so every voice AI development engagement is scoped with leadership in the room. Among chatbot development companies in India, few let you plan voice AI with the founder directly.
Mukesh Ram
Founder and CEO, Acquaint Softtech
Our Voice AI Development Process
Every voice bot and chatbot follows the same six-step voice AI development process. A proof of concept takes 2 to 3 weeks, and a production voice and chat system usually 8 to 12.
Listen to Real Conversations
Calls and chats analyzed for costly requests.
Design the Conversation
Flows, tone, fallbacks and handover rules.
Connect Your Knowledge
Answers grounded in your content with RAG.
Build Voice and Chat
Speech, LLM and chat UI wired to your channels.
Test Calls and Chats
Accuracy, latency, tone and handover measured.
Launch and Improve
One line first, then expand on results.
Voice AI Foundations from Real Clients
Every voice bot needs live data to read and actions to take. These four platforms give voice AI and chat exactly that for named clients, each linked to a published case study.
Discover how Acquaint Softtech delivered a custom operations app for 1st Choice Pest Solutions, a leading radiator manufacturer. This manufacturing case study shows real results in production tracking, reduced downtime, and digital transformation for factories.
Operational improvement shouldn’t require dozens of disconnected tools. This custom ai mobile app by Acquaint Softtech delivers a single, intelligent experience to uncover inefficiencies, streamline workflows, and scale operational excellence.
We engineered a centralized operations system for Astound that connects support teams, field technicians, and leadership in one seamless workflow. More than a ticketing tool, it's a scalable website that automates scheduling and streamlines communication. It also delivers real-time insights and keeps service teams efficient and customers informed at every step.
We helped Third Stone Health create a modern, engaging WordPress website designed to communicate its unique approach to naturopathic and functional medicine while making it easier for patients to explore care options and connect with experienced practitioners. With a strong focus on personalized healthcare, root-cause treatment, and long-term wellness, the website was structured to help visitors understand the organization's philosophy and confidently take the next step toward personalized care.
What Clients Say About Our Voice AI Team
Rated 4.8/5 across 79 verified Clutch reviews of our AI and software engineering. Below, clients answer the questions buyers ask before choosing a voice AI and chatbot development service company.
Why Choose Our Voice AI & Chatbot Company
Among AI service providers, few deliver voice and chat from one team. As a voice AI and chatbot development service company in India, we pair published pricing with a salaried in-house team.
One brain, every channel
Phone, app, web and messaging share answers.
Vendor-neutral speech
Best speech and voice engines per use case, avoiding vendor lock-in.
Proof you can check
Named clients and verified Clutch reviews from real project experiences.
Confirm before acting
Read-back on every booking and change before final user confirmation.
Stable in-house team
24+ months average tenure, so your builders stay.
Code on your GitHub
Full source, prompts and tests are yours.
The Voice AI Tech Stack We Use
Who are the top voice AI companies? Google, Amazon, Microsoft and OpenAI lead, with specialists such as ElevenLabs, Deepgram and AssemblyAI, and we pick per accuracy, latency and budget.
Speech-to-text
Cloud speech
Text-to-speech
Language models
Realtime voice
Telephony
Chat channels
Workplace channels
Knowledge
Backend
Analytics
Code delivery
How Much Does Voice AI Development Cost?
A voice AI or chatbot proof of concept costs $12,000 to $20,000, and a production voice and chat system typically $30,000 to $60,000 over 8 to 12 weeks. Voice AI development cost depends on call volume, channels, languages, telephony and systems.
Voice AI Proof of Concept
- One call or chat flow
- Builds the business case
- 2 to 3 weeks
Production Voice and Chat System
- Telephony, handover and analytics
- Milestone-based payments
- 8 to 12 weeks, two weeks of hypercare
Dedicated Voice AI Engineer
- Starts within 48 hours
- One-week trial
- Part-time from $30 per hour
What drives voice AI cost
Voice AI & Chatbot FAQs
Clear answers to the questions teams ask most before building a voice bot or chatbot.
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What are AI chatbot services?
AI chatbot services design, build and run conversational AI that understands people and answers from your knowledge. With voice AI, the same service covers phone calls and spoken assistants.
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Which company developed the AI chatbot?
The first chatbot, ELIZA, was created at MIT in the 1960s. Today's best-known AI chatbots come from OpenAI, Google, Anthropic and Microsoft.
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What AI chatbot has a voice?
ChatGPT voice mode, Google Gemini Live, Microsoft Copilot and Amazon Alexa all talk back. A custom voice AI agent gives your business the same experience on your content.
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Who are the top voice AI companies?
Google, Amazon, Microsoft, Apple and OpenAI, plus specialists such as ElevenLabs, Deepgram and AssemblyAI. We build custom voice bots on top of these platforms.
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How much does voice AI and chatbot development cost?
A proof of concept costs $12,000 to $20,000, and a production voice and chat system typically $30,000 to $60,000 over 8 to 12 weeks.
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Can a voice bot replace our IVR?
Yes. We build conversational IVR and AI voice agents that connect to Twilio, SIP lines and contact center platforms, so callers speak naturally.
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Do you deliver the voice AI code on GitHub?
Yes. All code, prompts, tests and documentation are delivered to your own GitHub repository.
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Who owns the voice bot and chatbot you build?
You do. We sign an NDA before any discussion and transfer 100% of the IP, including code, prompts and voice configurations.
Related AI Development Services
Fine-tuning clients often pair their tuned model with RAG development, LLM development or MLOps. Explore the AI development services below from the same team.
AI Engineering
08AI Specialization
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