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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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Data pipelines, warehouses and governance for analytics, BI and AI.

Mindrops builds the pipelines, warehouses and governance that bring scattered data into one governed source for analytics, BI and AI.

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.

SaaS · Influencer Marketing

Activate by Bloglovin'

A dedicated onshore and offshore Mindrops team built, upgraded and maintained the platform with Agile delivery — campaign matching, messaging and real-time reporting.

Maintained for 4+ years, scaling to 130,000+ influencers and 100,000+ brands on a network serving 16M+ users a month.

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.

Data engineering services

Mindrops builds the pipelines, storage and governance that make an organisation’s data reliable and usable — batch and streaming pipelines, warehouses and lakehouses, data quality and governance, and the AI-ready data (features and vectors) behind dependable analytics and machine learning.

Pipelines & ETL/ELT

Reliable batch and streaming pipelines that move and transform data at scale.

Warehouse & lakehouse

Modern data platforms that give every team one trustworthy source of truth.

Data quality

Validation, testing and observability so decisions rest on clean data.

Real-time & streaming

Event streams and CDC for up-to-the-second data where it matters.

Data for ML & LLMs

Feature and vector pipelines that make an organisation’s data usable by ML and LLMs.

Governance

Lineage, access control and cataloguing for trust and compliance.

Who we build data platforms for

Companies starting an AI programme

Models are only as good as the data behind them. We assess readiness and build the pipelines and vector stores the first use case needs.

Teams with data in silos

Sales, finance and operations each keep their own numbers. A warehouse or lakehouse brings them into one governed source.

Analysts fighting broken reports

Pipelines fail silently and dashboards repeat yesterday’s mistakes. Tests, validation and observability catch issues upstream.

Products that need live data

Stock, pricing or status must update within seconds. Streaming and change-data-capture pipelines keep downstream systems current.

Why Mindrops for data engineering

Data layers behind live AI
We built the vector and fuzzy-search layer in PostgreSQL behind BeanBot and the extraction pipelines behind Caelum AI — the data engineering that working AI depends on.
Systems of record left untouched
Our bookkeeping validation platform reads a live ledger and writes findings to a separate store, never altering the source — the principle we apply to every integration with core systems.
Experience at real scale
Activate by Bloglovin’, an influencer-marketing SaaS we built and maintained for 4+ years, serves 16M+ users and 130k+ influencers; data at that volume has to be modelled and moved reliably.
The simplest platform for the use case
We recommend the leanest warehouse, lakehouse or database setup that meets the use case, so you do not pay to run infrastructure you do not need.
Technologies we use
Storage & compute
PostgreSQL · MySQL · MSSQL · PySpark
Pipelines
ETL / ELT · CDC · Streaming · Airflow-style
AI data
Vector DBs · Embeddings · Feature stores
Cloud
AWS · Azure · GCP · Docker

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

Extra capacity for software and cloud

A Mindrops team working alongside the client’s own engineers on software development and cloud-based projects, brought in to add reliable delivery capacity.

From the client’s review

“Mindrops handled complex requirements with ease and added value throughout the project.”
Harsh BihaniHead of Technology, Qzaark IndiaRead full review on Sortlist

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

More client reviews

How we deliver data engineering

  1. 01 — Assess

    Sources & use cases

    We inventory data sources, quality and ownership, and work back from the analytics or AI use cases the data must serve.

  2. 02 — Model

    Platform & schema

    We choose the platform and design the models, keys and metric definitions before any pipeline is written.

  3. 03 — Build

    Pipelines & tests

    Batch, streaming or CDC pipelines are built with validation and automated tests at every stage.

  4. 04 — Govern

    Lineage & access

    Lineage, cataloguing and access control are put in place, and pipeline health is monitored with alerts.

Frequently asked questions

What is AI-ready data engineering?
Building the pipelines, storage, quality and governance that make data reliable — and specifically structuring it (features, vectors) so analytics, ML and LLMs can use it.
Warehouse or lakehouse — which is needed?
It depends on the data and use cases. Mindrops assesses and recommends the simplest platform that meets analytics and AI needs without over-engineering.
Can Mindrops handle real-time data?
Yes. Mindrops builds streaming and change-data-capture pipelines for up-to-the-second data where the use case needs it.
How is data quality ensured?
Validation, automated testing and observability across pipelines, so issues are caught before they reach dashboards or models.
How does this support AI?
Reliable, well-structured data is the prerequisite for useful AI — Mindrops builds the feature and vector pipelines that its AI work depends on.

Contact us

Tell us where your data lives and what it needs to power. We’ll recommend the simplest platform that fits, and reply within one business day.

Discuss your project

An engineer will respond within one business day.

Have a defined scope? Get a quote

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