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 designs and engineers AI for production use — agents, generative AI, document intelligence and automation — with the guardrails, evaluation and governance that enterprise and government deployments require.
Clients
Ten specialised services across the AI lifecycle: what the AI does, how it is governed and operated, and the data and devices it depends on.
Agents that plan multi-step tasks and act through your tools and APIs — with retrieval, human approval steps and guardrails.
LLM applications, copilots, RAG search and document AI, grounded in your data with citations, guardrails and evals.
Chatbots for sales, support and internal teams that answer from your content, act on your data and hand off to a person.
RPA combined with OCR, LLM extraction and decision rules to run document- and rules-heavy processes end to end, with human review.
OCR and LLM pipelines that classify, extract and validate data from invoices, statements, forms, contracts and IDs, with human review and ERP integration.
Policy, risk assessment, guardrails, monitoring and audit trails that let you adopt AI responsibly under the EU AI Act.
Pipelines, evals, deployment, monitoring and cost control that keep LLM and ML systems accurate and affordable in production.
Pipelines, warehouses, data quality and governance that give analytics, ML and LLMs one trustworthy source of data.
Data models, a governed metrics layer and decision dashboards — with self-serve analytics and forecasting where they add value.
Device connectivity, telemetry ingestion, dashboards, remote control and companion apps for connected products and operations.
Software Mindrops has designed and built for clients in this area.
AI · Accounting
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.
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 · Food & Beverage
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.
Mindrops is an AI development company that builds production-grade AI — agents and agentic workflows, generative AI and LLM applications, chatbots, intelligent automation, and the data, MLOps and governance behind them. We apply AI to real business problems, with human-in-the-loop review and guardrails.
Invoices, statements, receipts and forms turned into structured, validated records — the capability behind Caelum AI and our invoice-automation builds.
Answers over your own catalogue, policies and knowledge base, with retrieval, citations and a rule that the model names only what a lookup returned.
High-volume requests and cases classified, prioritised and routed by type, urgency and sentiment, with people making the final call where it matters.
Demand, manpower and maintenance forecasts from classical and deep-learning models, trained on the history you already hold.
Statistical and ML checks that surface duplicates, outliers and gaps in financial or operational data before they reach a report.
Image-based measurement and inspection models, such as the body-measurement tool we built for a fashion size-recommendation platform.
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 assess the process, the data available and the risk level, turn “good” into measurable acceptance criteria, and return a scoped estimate.
A working slice on your real data, measured against an evaluation set, so the go/no-go decision rests on measured results.
We add guardrails, access control, human review steps, integrations and load handling, then release in increments.
Tracing, quality and drift monitoring, cost tracking and scheduled re-evaluation keep the system accurate as data and models change.
Bring us one process or decision you want AI to handle. We’ll assess feasibility in a focused discovery and reply within one business day.
An engineer will respond within one business day.
Have a defined scope? Get a quote
