WhatsApp AI bots, RAG knowledge systems and full-stack AI builds — scoped at a fixed price, live in 2–4 weeks, built by the developer you actually talk to.
PandaPath is an AI product studio in Bangalore. We exist because Indian founders kept paying big-agency prices for junior work delivered six months late.
Scoped in one call, first working build inside two weeks. You see progress every few days, not at a monthly review.
No account managers, no relay. The person writing your code is the person on WhatsApp answering your questions.
You get a number before we start and it does not move. No hourly billing, no scope-creep invoices at the end.
Full source code, your cloud accounts, your data. Nothing is locked to us — including the right to walk away.
Every engagement is fixed-price and fixed-scope. Pick the one that matches where you are — or take the audit first and decide afterwards.
Automated WhatsApp support and lead capture
A WhatsApp assistant that answers customer questions, captures leads and books appointments around the clock — in Hindi and English, on the number your customers already message.
Your documents turned into a searchable AI assistant
Point it at your PDFs, SOPs, Notion pages and contracts, and your team can ask questions in plain English. Answers cite the source document, so nobody has to take the model on faith.
End-to-end web or mobile product with AI built in
The whole thing: product design, front end, APIs, database, AI features and production deployment. You finish with a live product, the source code and a running CI pipeline.
Find out where AI actually pays off in your business
A two-hour working session where we map your operations and tell you which three things are worth automating — and, just as usefully, which are not.
A few recent builds. Client names are withheld under NDA — the problems, the approach and the timelines are exactly as delivered.
Two staff were answering the same product questions on WhatsApp all day, and enquiries that arrived after 8pm went cold overnight.
An assistant that handles catalogue questions, sizing and order status on its own, and hands the genuinely complex ones to a human with the conversation already summarised.
Support agents were digging through four years of scattered PDFs and Notion pages to answer a single customer ticket.
A retrieval system over the whole document estate. Agents ask in plain English and get an answer with the source paragraph attached, so they can verify before they send.
Daily operating numbers lived in five spreadsheets that were reconciled by hand every morning before the standup.
A live dashboard fed straight from their systems, with anomaly alerts that flag a route or depot drifting out of range before it turns into a customer complaint.
The same sequence on every project. You always know which step you're in and what comes next.
One call to understand the problem. You leave with a fixed quote and a delivery date — not a proposal deck.
Flows and screens agreed before a line of code. Cheap to change now, expensive to change later.
You get a working link within days and it updates continuously. Feedback goes straight to the developer.
Deployed to your own cloud with monitoring, backups and a rollback path. Source code handed over.
A month of fixes and tuning included. Stay on a retainer or take it in-house — your call.
Boring, proven tools chosen because they are fast to build with and cheap for you to maintain after we hand over.
The things founders ask us before signing. If yours isn't here, message us on WhatsApp — you'll get a real answer, not a brochure.
A production WhatsApp AI bot from PandaPath starts at ₹25,000 and goes live in about two weeks. A RAG knowledge system starts at ₹40,000, and a full AI product build starts at ₹80,000. Every project is quoted as a fixed price before work begins, so the number you are given at the start is the number you pay.
Most builds ship in two to four weeks. A WhatsApp bot typically takes two weeks, a RAG knowledge system three weeks, and a complete AI product four to six weeks. You get a working link to try within the first few days rather than waiting until the end.
RAG — retrieval-augmented generation — lets an AI answer questions using your own documents instead of general internet knowledge, and cite where each answer came from. It is worth it if your team repeatedly hunts through PDFs, SOPs, policies or support history to answer the same questions. If your knowledge already fits on one page, you do not need one, and we will say so.
Yes. We are based in Bangalore and work with founders across India — Mumbai, Delhi NCR, Hyderabad, Pune and Chennai — as well as Indian founders operating abroad. Everything runs over calls and WhatsApp, so location has never been the constraint.
You do. Source code is handed over at launch, deployments run in your own cloud accounts, and your data is never used to train a public model. There is no vendor lock-in — you can take the project in-house or to another team at any point.
Start with the ₹6,000 AI Business Audit. It is a two-hour session that maps your operations and produces a written report on the three highest-value automations, with honest cost-versus-benefit for each. The fee is credited against your first project if you go ahead.
Yes. A large share of our work is adding AI features — search, chat, summarisation, recommendations or document processing — to products that already exist and already have users. We work against your current stack rather than asking you to rewrite it.
Twenty minutes on a call is usually enough to tell you whether AI solves your problem, roughly what it costs, and how long it takes. If it isn't the right fit, we'll say so.