AI chatbots

Custom AI chatbots that actually know your business.

We build AI assistants that answer from your own documents and data — accurately, around the clock, and in the languages your customers use. Then we connect them to your website, WhatsApp or app.

Illustrative conversation

From FAQ to assistant

Old chatbots frustrated people. Ours answer from your own knowledge, speak your customers’ language and hand off to a person when they should.

  1. 01

    Understand

    We map the questions people actually ask, the documents that answer them and where the bot should hand off to a person.

  2. 02

    Build the knowledge

    We clean and structure your content, build retrieval over it and write an evaluation set of real questions.

  3. 03

    Build the assistant

    Conversation design, integration with your site or WhatsApp, and weekly testing with your team.

Problems we solve

Sound familiar?

The four things we hear most before a project starts — and what we do about each.

  1. The same questions, all day.

    Fees, timings, order status, admission dates. A well-built assistant answers the routine questions instantly and hands the rest to your team.

  2. Old chatbots frustrated people.

    Button-tree bots break the moment someone phrases a question differently. Modern AI assistants understand natural language — if they're grounded in the right data.

  3. You can't afford a wrong answer.

    We keep the assistant to what your documents say, show sources, and make it say "I don't know" and escalate when it should.

  4. Your customers don't all write in English.

    We build assistants that understand and reply in Hindi and other Indian languages, as well as English.

What’s included

Everything it takes to ship.

Every chatbot project starts with a free scoping call. You get a written plan and a fixed-price quote for the build before work begins.

  • A knowledge base built from your documents, website and FAQs
  • Retrieval (RAG) so answers come from your data, with sources
  • Website chat widget; WhatsApp and in-app options
  • English, Hindi and other Indian languages
  • Hand-off to a human when the assistant isn't sure
  • An admin view to review conversations and update content
  • Evaluation tests so answers stay accurate as content changes
  • Analytics on what people ask — and what they couldn't find

A chatbot is only as good as what it knows

The model is the easy part. What makes an assistant useful is the knowledge behind it: your admissions policy, your product catalogue, your returns process, your timetable. If that knowledge is missing, out of date or badly structured, even the best model will give poor answers.

So most of our chatbot work happens before anyone chats with it. We gather your documents, clean them up, split them into pieces a model can use and build retrieval over them. Then we write a set of real questions — the ones your staff answer every day — and test the assistant against them until the answers are right.

Built for schools, businesses and support teams

Schools use assistants to answer parents’ questions about admissions, fees, timings, events and results — at any hour, without the office phone ringing. We built Gyanis AI for Gyan Niketan School in Patna, where it answers parents and students 24/7.

Businesses use them to answer product questions, qualify leads and book appointments, handing warm conversations to sales.

Support teams use them to resolve routine tickets instantly and route the rest with the context already gathered.

Honest by design

A chatbot that confidently gives wrong answers is worse than no chatbot. We design every assistant to:

  • answer from your content, and show where the answer came from;
  • say “I’m not sure” instead of guessing;
  • hand the conversation to a person when it should;
  • log what people ask, so you can see gaps in your own information.

What it costs

Cost depends on how much the assistant needs to know, where it runs and how many conversations it handles. We explain the main drivers in how much it costs to build an AI chatbot in India — and after a free scoping call, you get a fixed-price quote for yours.

Process

How we’ll work together.

A working demo every week, and a fixed price agreed before we start.

  1. Understand

    We map the questions people actually ask, the documents that answer them and where the bot should hand off to a person.

  2. Build the knowledge

    We clean and structure your content, build retrieval over it and write an evaluation set of real questions.

  3. Build the assistant

    Conversation design, integration with your site or WhatsApp, and weekly testing with your team.

  4. Launch & grow

    We launch, review real conversations and keep improving answers and coverage.

Tech stack

Tools we trust in production.

We pick per project — these are the ones we reach for most.

  • Gemini
  • OpenAI
  • Claude
  • pgvector
  • Supabase
  • Node.js
  • Next.js
  • Cloudflare

Proof

Where we’ve done this.

Case study · Education

Gyan Niketan School

A full school website with a live events engine, push notifications and a 24/7 AI assistant, live in production at gyanniketan.in.

Product · Live

Gyanis AI

A campus assistant that never closes.

FAQ

Questions, answered.

Still unsure? Ask us directly — we reply within 24 hours.

How much does an AI chatbot cost in India?

It depends on how much content it needs to know, which channels it runs on (website, WhatsApp, app) and the volume of conversations. After a free scoping call we send a fixed-price quote. Our guide on chatbot costs explains the main cost drivers.

Can the chatbot answer in Hindi?

Yes. Modern models handle Hindi and many other Indian languages well. We test the assistant in the languages your users actually write in.

Will it make up answers?

We design against that. The assistant answers from your documents, can show its sources, and is instructed to say it doesn't know and hand off when the answer isn't there.

Can it work on WhatsApp?

Yes, through the WhatsApp Business Platform. The same knowledge base can power your website chat and WhatsApp.

How long does it take to launch a chatbot?

A focused assistant over existing documents can launch in 3–4 weeks, including testing with your team.

Who owns the chatbot and the data?

You do. The code and your data stay in your accounts, and we can sign an NDA before we start.

Let’s talk about your ai chatbots project.

Tell us what you want to build. We reply within 24 hours — the scoping call is free.

Let’s build it