Payments infrastructure, patented
A payments system that lets one invoice be settled with several payment methods and refunded the same way, for a healthcare platform. Granted U.S. Patent 11,675,486 in 2023.
We design and build software, AI, and data systems for businesses that make, move, and maintain things. An industrial firm since 1973, now building the digital side of industry.
| Item | Qty | Description |
|---|---|---|
| 1 | 1 | Shop floor and existing systemsMachines, PLCs, ERP, spreadsheets, paper. |
| 2 | 1 | Integration and dataConnectors and pipelines. One clean record of what is happening. |
| 3 | 1 | ApplicationThe software people use every day: portals, tools, mobile apps. |
| 4 | 1 | AI and automationExtraction, agents, and the decisions that used to need a person. |
| 5 | 1 | People and operationsTraining, handover, and support, so it keeps working. |
Gaurav Engineering belongs to a family of industrial firms that has supplied Indian industry since the 1970s: lamps, quartz, and components for water treatment, printing, laboratories, and airports. We know what a plant looks like on a Tuesday afternoon, and we know what good software looks like. The work is joining the two.
Internal tools, customer portals, and line-of-business systems, built to fit how your company works rather than how a template assumes it does.
portals, internal tools, quoting, order tracking, dashboards
Document extraction, assistants that answer from your own records, and automation of the decisions that used to need a person. Deployed with controls and measured on real cases.
document extraction, agents, LLM integration, MCP servers, evaluation
Connecting ERP, CRM, accounting, PLC and sensor data, and spreadsheets into one clean record, with monitored pipelines and reports people trust.
ERP and CRM, PLC and sensor data, pipelines, reporting
iOS and Android apps for field teams, service engineers, and customers, with offline handling and the backend to match.
iOS, Android, offline-first, field service
Technology leadership for firms that do not have a CTO: architecture, vendor selection, hiring, and a roadmap you can defend to the board.
architecture, vendor selection, hiring, roadmap
| Rev | Description | Deliverable |
|---|---|---|
| A | DiscoverA week on site or on calls. We map the process, the systems, and the people, and write the problem down on one page. | Problem statement, scope, and a fixed price for the next revision. |
| B | PrototypeA working slice in two to four weeks, on real data, in front of the people who will use it. | Running prototype, a go or no-go decision, and a build estimate. |
| C | BuildProduction build in short cycles, with tests, documentation, and a demo at the end of every cycle. | Deployed system, source code, documentation, and training. |
| D | OperateMonitoring, fixes, and improvements on a monthly retainer, or a clean handover to your own team. | Support agreement or handover pack. |
Selected work. W-01 to W-03 were built in earlier roles at US product companies.
A payments system that lets one invoice be settled with several payment methods and refunded the same way, for a healthcare platform. Granted U.S. Patent 11,675,486 in 2023.
Transaction alerting that spots fraudulent activity and prevents unauthorised payment processing.
More than 10,000 patients moved onto a rebuilt subscription system, then a redesign: flexible plans, pricing phases, templates, and a timeline of each subscription's life.
Technology lead for a consumer fitness app in development: architecture, tooling, and the delivery plan for a small founding team.
Enquiries, customer history, reminders, and updates in one system, usable on screen and from an AI assistant through an MCP server.
Full history on request.
Gaurav Engineering Private Limited is a family-owned company in Mumbai, incorporated in 1973. For most of its life it represented foreign manufacturers in India and cut and ground quartz tubes for industry. It now builds software and AI for industrial businesses, in India and abroad.
Gaurav Jhaveri leads the firm. He holds an M.S. in Computer Science (Machine Learning) and spent eight years building production software for US product companies.
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