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Flagship · GovTech
India Post — grievance system

Pan-India, awarded via GeM (Nov 2025).

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Flagship · GovTech
India Post — grievance system

Pan-India, awarded via GeM (Nov 2025).

Read →
Global delivery
India · Belgium · UK

Three offices, three time zones.

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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.

Clients

  • Cushman & Wakefield
  • Pacific Group
  • DLF Group
  • Barbeque Nation
  • The Coffee Bean & Tea Leaf

Selected projects

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.

AI chatbot development services

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.

Support assistants

Resolve common queries instantly, grounded in a client’s docs and policies.

Sales & lead bots

Qualify, answer and capture leads 24/7, then hand warm ones to sales.

Internal copilots

Assistants over a client’s internal knowledge that make staff faster.

RAG grounding

Answers from a client’s own content, with a citation to each source.

Omnichannel

Web, app and WhatsApp Business API from one assistant.

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.”
Ashok Kumar SinghOwner, M/s Mineshaft Traders & ConsultantRead full review on DesignRush

AI invoice extraction

Vendor invoices are read and extracted automatically, stored, and passed to the accounting tools the finance team already uses.

From the client’s review

“The AI extraction they built works reliably with different invoice formats which was the main thing we needed.”
Keshpal YadavEmployee, VRV Hospitality Private LimitedRead full review on Sortlist

Warehouse operations platform

A field app and web admin panel connecting material records, site expenses and reporting across warehouse locations.

From the client’s review

“Reporting that used to take a full day of compiling sheets is now a filtered download from the admin panel.”
Amit AgarwalDirector, Footprint WarehousingRead full review on Clutch

Recruitment & candidate management

A recruitment platform with candidate registration, applications, admit cards and a central admin dashboard.

From the client’s review

“They designed it to handle high concurrent traffic during active recruitment drives, which was critical for us.”
AnujDirector, NIA Aviation Services Pvt. Ltd.Read full review on GoodFirms

Fintech lending platform

A customer app, vendor app and admin panel from one team, with KYC, CIBIL credit checks and automated loan approvals.

From the client’s review

“Fintech projects have a lot of layers and it was good to work with a team that understood the credit and lending side of things.”
Shyam AryaDirector, Insto Fin Private LimitedRead full review on Sortlist

Rural telehealth platform

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.”
Rama RamanDirector, EonMedRead full review on Sortlist

More client reviews

How we deliver AI chatbots

  1. 01 — Scope

    Intents & sources

    We list the questions and tasks the assistant must handle, the content and systems it answers from, and when it must hand off.

  2. 02 — Ground

    Retrieval & data

    Content is crawled, cleaned and indexed; catalogue, pricing and account data are connected through lookups the model cannot override.

  3. 03 — Test

    Conversation evals

    We test against real customer phrasing, typos and edge cases, and tune routing so routine requests skip the model.

  4. 04 — Launch

    Channels & analytics

    Release on web, app or WhatsApp, with traces, token usage and conversion analytics feeding the next round of improvements.

Frequently asked questions

What is an AI-powered chatbot?
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.

Related insights

Contact us

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.

Book an AI discovery

An engineer will respond within one business day.

Have a defined scope? Get a quote

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