AI, Data & Automation
Agents, GenAI, automation and data platforms
Software & Product
Custom platforms, web & mobile, modernisation
Cloud, Security & Reliability
Managed cloud, DevOps, cybersecurity and QA
E-commerce & Apps
Commerce platforms and on-demand apps
Digital Marketing
Search, AI visibility, paid media and lifecycle
Hire & Engagement
Dedicated engineers, teams and engagement models
Technologies
Languages, frameworks, mobile and cloud platforms
Mindrops builds the data models, metrics layer and dashboards that give leaders one consistent view of the business, plus self-serve analytics for the teams who use the data.
Clients
Software Mindrops has designed and built for clients in this area.
Government · GovTech
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.
AI · ML
Mindrops built four production ML products in Python: predictive maintenance, computer-vision body measurement, multi-channel attribution and deep-learning manpower forecasting.
25% lower maintenance cost, 20% fewer sales returns, 15% more sales and 90% better forecasting accuracy for the respective clients.
AI · Financial Validation
A read-only validation platform that runs 30+ checks across seven detection modules — including eight statistical anomaly methods — with one governed review workspace.
Every client close is now checked the same way and tracked from one dashboard, with 100% of findings carrying an audit trail for sign-off.
Mindrops builds the data models, metrics layer and interactive dashboards that turn raw data into decisions — plus self-serve analytics for business teams. Each is built on a trustworthy data foundation, and can layer in AI for forecasting and anomaly detection.
Clean, well-defined models so every chart means the same thing everywhere.
Clear, interactive dashboards built around the decisions they support.
Let teams answer their own questions without a ticket to the data team.
A governed, single definition of every KPI across the organisation.
Analytics built into a client’s own products for their customers.
Layer in forecasting and anomaly detection where it adds value.
Every department reports a different figure for the same KPI. A governed metrics layer gives each one a single definition.
Backlogs and breaches are spotted too late. Live dashboards show ageing, throughput and exceptions as they happen.
Every question becomes a ticket. Self-serve BI on clean data models lets teams answer their own.
Users ask for reporting inside your product. Embedded analytics delivers it under your brand and permissions.
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.”
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.”
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.”
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.”
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.”
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.”
We start with the decisions each audience makes and agree the metric definitions those decisions depend on.
Source data is modelled and each KPI is defined once, in a governed layer every dashboard reads from.
Dashboards are designed around those decisions, with role-based access and drill-down to the underlying records.
We train teams in self-serve analysis, track usage, and refine or retire the views nobody acts on.
Tell us which decisions your dashboards need to support. We’ll propose the metrics, data model and dashboards, and reply within one business day.
An engineer will respond within one business day.
Have a defined scope? Get a quote
