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AI Chatbot Development Company in India for Website and WhatsApp
We build AI chatbots that answer from your own approved information: on your website, on WhatsApp through the WhatsApp Business API, and inside your helpdesk or business software. Conversations can run in English, Hindi or Marathi, and the chatbot hands the conversation to a person on your team when a question needs one. Apothem is based in Pimple Saudagar, Pune and works with clients across India, the Middle East and the US.
What We Build
Create conversational AI experiences that help customers, employees and business users find information, resolve common queries and interact with business systems more naturally. These are the chatbots we build most often.
Customer support assistants
Help answer common questions using approved business information and support content, so routine queries are handled before they reach your team, and anything unusual is passed to a person.
WhatsApp AI chatbots
An assistant on your WhatsApp Business number, connected through the WhatsApp Business API, that answers questions, collects details and routes conversations. See our communication solutions for the WhatsApp channel itself.
Internal knowledge assistants
Help employees search company documents, procedures and internal knowledge sources in plain language instead of digging through folders and shared drives.
Lead qualification assistants
Capture enquiries, collect relevant requirements and route potential customers to the appropriate team, with the conversation saved against the lead.
Helpdesk assistants
For internal and customer helpdesks: answer routine questions before a ticket is raised and hand the rest to an agent. We also build our own helpdesk and ticketing product, Rezolvedesk.
Assistants inside your apps
Add conversational capabilities to existing websites, mobile applications and business software, connected to the same data and user accounts. See Web Development and Mobile App Development.
Integrations, data sources and the actions an assistant can take depend on your project requirements.
How It Works
A business chatbot is more than a chat window. It needs to understand the question, find the right information and know when to stop and pass the conversation on.
Architecture
A message arrives from your website chat widget, WhatsApp or your app. A Python service built on FastAPI interprets the question and retrieves the relevant approved content: help articles, policies, product details or records from your MySQL database. That context goes to an OpenAI GPT-class model through its API, which drafts the reply. Checks are applied before the answer is sent, and a Laravel admin panel lets your team manage the content the chatbot answers from.
Languages and human handover
- English, Hindi and Marathi. Customers can ask in the language they are comfortable with, and the chatbot replies in the same language.
- Handover to a person. When the chatbot cannot answer, or the customer asks for a person, the conversation is handed to someone on your team.
- Approved sources only. The chatbot answers from the content you approve, and access to that content can be limited according to user roles.
How we keep your data safe
Your data stays in your own database. For each request, the system sends the model only the records or passages that request needs, never your whole database, and access follows your user roles. We do not use your data to train AI models, credentials and API keys stay on the server, and we review the data-handling terms of any AI provider we use.
How a Chatbot Project Runs With Us
Five stages, each with something you can see and test at the end of it.
1. Use cases and sources
We agree what the chatbot should handle, which channels it runs on, and which documents, FAQs or records it may answer from.
2. Content preparation
Your approved content is cleaned up, organised and connected, so the chatbot answers from current, accurate information.
3. Build and connect channels
We build the FastAPI service and admin panel and connect your website, WhatsApp number or app.
4. Test with real questions
We test against realistic questions and edge cases, in each language, and tune when the chatbot should hand over.
5. Launch and improve
After launch we review conversations, fill gaps in the content and adjust the handover rules as real questions come in.
What Drives the Cost of a Chatbot
We quote after a short scoping call. These are the things that move the number.
- Channels. A website chat widget, a WhatsApp number and an in-app assistant each need their own integration and testing.
- Data sources. Answering from a handful of FAQs is a smaller job than connecting live records from your database or several document stores.
- Languages. Each additional language adds content review and testing.
- Actions. A chatbot that only answers is simpler than one that also creates leads, books appointments or updates records in your systems.
- Conversation volume. Model usage and messaging charges grow with the number of conversations, so we size them with you before launch.
Tell us which channel matters most and what the chatbot should answer, and we will suggest a sensible first version.
Related Work
We build the systems a chatbot depends on: the data, the admin panels and the channels. Here is where that work is visible today.
Keystone Insight AI
A conversational assistant that answers plain-language questions about construction project costs and quantities, built for Keystone QS.
Rezolvedesk
Our own helpdesk and ticketing product, with multi-channel ticketing, a knowledge base and canned replies.
TripMall
A B2B travel marketplace where agents send branded quotes and flyers straight to a customer’s WhatsApp chat.
Frequently Asked Questions
Planning a Chatbot for Your Website or WhatsApp?
Tell us which questions your team answers again and again, and where your customers ask them. A 30-minute call is enough to recommend a first version, the channels and the data it should use.