AI chatbots and assistants for sales, support and internal teams.
Mindrops builds AI chatbots and assistants that answer from your own content and data, resolve routine queries and hand off to a person with the full conversation when needed.
Software Mindrops has designed and built for clients in this area.
Total post offices1,65,000The largest postal network in the world
Government · GovTech
India Post — Grievance Redressal
An AI-automated platform on Mindrops’ LazyMonkey foundation that categorises, prioritises, routes and auto-responds to every grievance, with one SLA-tracked record for central and regional teams.
Awarded via GeM (Nov 2025), it auto-triages thousands of grievances a day for a network of 1.5 lakh+ post offices.
Cafés in India50+outlets across India, served by the systems we builtBrewing since 1963
AI · Food & Beverage
BeanBot — The Coffee Bean & Tea Leaf
An embeddable AI chat assistant grounded in live catalogue and store data, with an “Order Now” action on every product and a no-code admin console for content and pricing.
Live across 50+ outlets in India, handling about 10,000 conversations a month and around 50 orders a day.
Extraction accuracy99%with human-in-the-loop review, on tens of thousands of documents a monthUK accountancy
AI · Accounting
Caelum AI — Document Processing
A Mindrops document-intelligence product that extracts transactions, line items, totals and dates to Excel, CSV, JSON or XML through a REST API, with human-in-the-loop review.
Delivers 99% extraction accuracy on supported documents across bank statements, invoices and receipts.
Mindrops builds LLM- and RAG-based chatbots for sales, support and internal use — grounded in a client’s own content, omnichannel across web and WhatsApp, with guardrails and human handoff. Each assistant understands natural language and acts on the client’s data to answer, qualify and resolve queries.
01
Support assistants
Resolve common queries instantly, grounded in a client’s docs and policies.
02
Sales & lead bots
Qualify, answer and capture leads 24/7, then hand warm ones to sales.
03
Internal copilots
Assistants over a client’s internal knowledge that make staff faster.
04
RAG grounding
Answers from a client’s own content, with a citation to each source.
05
Omnichannel
Web, app and WhatsApp Business API from one assistant.
06
Human handoff & analytics
Escalate to a person when needed, and learn from every conversation.
Who we build AI chatbots for
Support teams answering the same questions
Repeat queries crowd out complex cases. An assistant resolves the routine ones from your policies and FAQs and passes the rest on with context.
Retail & consumer brands selling by conversation
Customers ask by intent, preference and dietary need — and they mistype. A grounded assistant recommends, prices and links straight to the order.
Public bodies serving citizens at volume
Citizens need answers and a way to raise an issue at any hour. A chatbot and FAQ base resolve common questions and open a ticket when needed.
Internal teams hunting for answers
Staff lose time searching policies and manuals. An internal copilot answers from that knowledge, with a citation to the source.
Why Mindrops for AI chatbots
Live for a café chain across India
BeanBot, our assistant for The Coffee Bean & Tea Leaf, handles around 10,000 grounded conversations a month across 50+ outlets, with an Order Now action on every product.
Typos and vague asks handled
Three-tier search — exact, tokenised, then trigram fuzzy matching — resolves “lattee” to “Latte” without a model call, so common questions are answered fast and cheaply.
Managed by business teams
Prompts, greetings, quick-reply buttons and per-store pricing live in a no-code admin console, so content changes go live without a deploy.
Built for citizen-scale service
On the India Post platform, a WhatsApp-ready chatbot and FAQ base sit in front of an AI triage engine, so a question that needs action becomes a tracked ticket.
Technologies we use
Models
OpenAI / LLMs · Anthropic · RAG · Function calling
Retrieval
Vector DBs · Embeddings · OCR
Channels
Web · WhatsApp Business API · App
Ops & safety
Guardrails · Evals · Analytics
Client reviews
AI vehicle monitoring
Computer vision at a mine gate records number plates, vehicle movements and trip counts for daily reporting.
From the client’s review
“Daily reports are ready on their own, so nobody has to sit and prepare them at the end of the shift.”
A mobile app, website and admin dashboard connecting patients in rural and semi-urban India with doctors, with video consultations, digital prescriptions and patient registration.
From the client’s review
“The UI/UX design process was collaborative and they kept the end user in mind throughout, which mattered a lot for a platform targeting rural users.”
An assistant built on large language models that understands natural language and acts on a client’s data to answer, qualify and resolve queries. Mindrops builds LLM- and RAG-based chatbots for sales, support and internal use.
How is an AI chatbot different from an old rule-based bot?
A rule-based bot follows a fixed script and recognises only the phrasings it was built for. An AI chatbot understands natural language and reasons over a client’s data, so it can resolve varied questions, including vague or misspelt ones, and it improves over time.
Will it make things up?
Mindrops grounds answers in a client’s own content with retrieval (RAG) and citations, adds guardrails, and hands off to a human when confidence is low.
Which channels can it run on?
Web, a client’s app, and the WhatsApp Business API — one assistant across channels.
Can it use a knowledge base securely?
Yes. It retrieves from a client’s content with access control, so it uses that knowledge without exposing it.
Does it hand off to humans?
Yes. Anything the assistant should not handle is escalated to a person, together with the full conversation context.
Tell us who the assistant serves and what it should resolve. We’ll outline the grounding, channels and handoff design, and reply within one business day.