From instant website chats to voice-based support in rural languages β conversational AI is the interface of modern business. At TAS, we build AI chatbots and voice assistants that are fast, context-aware, multilingual, and powered by the best of GPT, Whisper, and LLM-based orchestration.
π§ Conversations that Understand, Automate, and Convert
Whether you’re automating lead generation, enhancing support, building an internal knowledge bot, or enabling voice-based onboarding β our systems handle the conversation like a real expert.
π€ What We Build
π¬ AI Chatbots
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Website & app-based bots for customer support or onboarding
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Internal tools for HR, IT, Finance, and Operations
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Multilingual bots for Indian and global languages
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CRM, WhatsApp, Telegram, and Slack integrations
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GPT, Claude, Mistral, or open-source LLM-powered bots
π Voice Assistants
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Voicebots for customer service, IVRs, telemedicine, surveys
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Voice-to-voice AI using Whisper + GPT + TTS
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Multilingual voice support (Hindi, Tamil, Bengali, etc.)
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Accessible bots for users with low literacy
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Kiosk, app, and IVR deployment support
π§ Shared Capabilities
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Conversational memory & personalization
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Secure API integrations (CRMs, knowledge bases, payments)
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Retrieval-Augmented Generation (RAG) for domain accuracy
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Fine-tuned tone, behavior, and prompt engineering
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Text or voice fallback flows
π οΈ Technologies We Use
Layer | Tools / APIs |
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LLMs | GPT-4o, Claude, Gemini, LLaMA, Mistral |
Voice AI | Whisper, Coqui TTS, Google STT/TTS |
Frameworks | LangChain, CrewAI, BotPress, Dialogflow |
Channels | WhatsApp, Telegram, Slack, Web, Mobile |
Deployment | FastAPI, Vercel, Docker, Firebase |
π Real Projects from TAS
π§ AI-Based Voice Assistant for Rural Helpdesk
Created a voicebot using Whisper + GPT + TTS that listens in Hindi/local languages, generates GPT responses, and replies audibly β used in health & legal education.
π₯ Medical Transcription Assistant
Doctors speak notes into the system β Whisper transcribes β GPT summarizes into clinical summaries β Output structured as EHR-ready formats.
π Resume Matching Assistant Bot
Deployed a web chatbot using GPT + LangChain that accepts a resume, compares it to a JD, and returns a score, insights, and even interview questions.
π― Where It Works Best
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Healthcare & Telemedicine
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Customer Support & BPO
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Government Services & Rural Outreach
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HR & Internal Ops
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Education, Fintech, & Ecommerce
π Why TAS for Chatbots & Voice AI?
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β Conversational AI Experts β Trained in real NLP, prompt engineering, fallback design
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β Multilingual & Multimodal β Indian language + voice + text support
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β Fast Launch MVPs β Get working bots in 2β3 weeks
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β LLM-Integrated β GPT, Claude, RAG, or self-hosted options
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β Secure & Compliant β Privacy-first with enterprise-grade deployment
β AI Chatbots & Voice Assistants β FAQs
Q1. What services do you provide in chatbot and voice assistant development?
We build AI-powered chatbots and voice assistants that handle customer queries, automate workflows, enable voice-based search, and provide personalized support across platforms like websites, apps, WhatsApp, Telegram, and smart devices.
Q2. Why should I choose TAS for AI chatbot and voice solutions?
TAS combines AI/ML, NLP, and conversational design expertise to create chatbots that go beyond scripted replies. Our solutions deliver human-like interactions, multilingual support, and seamless integration with CRMs, ERPs, and cloud platforms.
Q3. What platforms do you support for chatbot and voice integration?
We integrate chatbots and voice assistants with websites, mobile apps, WhatsApp, Telegram, Slack, Microsoft Teams, Google Assistant, and Alexa, ensuring your users can interact with your business anytime, anywhere.
Q4. How long does it take to build an AI chatbot or voice assistant?
A basic FAQ chatbot can be launched in 2β4 weeks, while enterprise-grade, AI-driven assistants with voice recognition, multilingual support, and custom workflows may take 2β4 months.
Q5. What technologies do you use for chatbot and voice development?
We use Dialogflow, Rasa, OpenAI GPT, Hugging Face Transformers, LangChain, Twilio, WhatsApp Business APIs, Speech-to-Text (STT) and Text-to-Speech (TTS) services, along with Node.js and Python for backend integrations.
Q6. Can AI chatbots integrate with my existing systems?
Yes. We connect chatbots to CRMs (Salesforce, HubSpot), ERPs (SAP, Oracle), payment gateways, helpdesk tools, and knowledge bases to deliver a seamless, automated customer experience.
Q7. How much does it cost to develop an AI chatbot or voice assistant?
The cost depends on complexity, integrations, and features. A basic chatbot starts from a few thousand dollars, while advanced AI-driven assistants with voice support, NLP, and enterprise integrations require a higher investment.
Q8. Do you provide training and ongoing support?
Absolutely. We provide AI model training, continuous updates, monitoring, and optimization to ensure your chatbot or voice assistant stays accurate, secure, and evolves with your business needs.
π Ready to Launch a Smart Chatbot or Voicebot?
Whether you’re building the next customer-facing AI or an internal knowledge tool β TAS will help you bring it to life, fast.