
Factory operations
Production planning, work orders and rejection capture, with AI that predicts downtime and catches defects on camera before they leave the line.
Our systems predict, flag and recommend, so the people at the collection centre, on the line and at the hospital desk make the right call sooner.
Dairy
Fat, morning shift
4.1%SNF 8.6%
SNF dip flagged on route 7
Plant
Line efficiency
78%
Downtime risk low
Warehouse
Picks per hour
312
Hospital
Beds occupied
142 / 180
Forecast tomorrow 151
Illustrative readings
Organisations running software we built, with AI at its core.





Every product we ship is built around models that learn from the day's work: what was collected, picked, admitted or printed. The screens are where people see what the AI found and decide what to do.
Models are trained on the site's own history, not someone else's averages.
Every flag and suggestion shows why it was made, in plain words.
AI recommends. A supervisor accepts, edits or ignores, and that feedback trains it.
Vision models read labels and spot defects where a camera is cheaper than a person.

Production planning, work orders and rejection capture, with AI that predicts downtime and catches defects on camera before they leave the line.
Systems built around how a business actually runs, like the AI-driven enterprise software we built for Balaji Process, a saree polishing factory.

Forecasts, anomaly flags and vision checks built on your own data, with the reasoning shown so supervisors can argue with it.
A dairy union runs on thousands of small, daily facts: which cow, how many litres, what fat, what SNF, what rate. We build the software that records them where they happen.

The ear tag number links each cow to her vaccinations, AI and calving dates, treatments and milk yield, so the vet and the society see the same history.

Each farmer's litres are recorded as the can is poured into the bulk milk cooler, morning and evening, with the cooler temperature alongside.

Fat and SNF readings come off the milk analyser into the record, the rate chart sets the price, and the farmer's slip and payment follow from that.
Farmer paymentsTen-day bills worked out from every shift's quantity, fat and SNF, with deductions for feed and loans.
Chilling and tankersBMC temperatures, tanker routes and the reconciliation between what left the village and what reached the plant.
Plant to distributorPouches, curd and paneer move through the same warehouse system with shelf-life rules per channel.
photos on this page are illustrations of the kind of sites we work on
product screens use made-up data, so go ahead and break things



Village collection, fat and SNF testing, herd records and payments, with AI quality flags.
OPD, IPD and beds, pharmacy, lab, billing and insurance claims in one system.
Booked pickups from home, handover at the hospital and a safe trip back.
High SKU counts, batch and recipe control, and GT, MT and e-commerce channels with their own rules.
Work orders, WIP and rejections on the line, from auto parts to fabrication.
Polishing and finishing units: customer lots in, process stages, quality checks and dispatch back.
Job cards, plate and paper stock, press schedules and dispatch.
Several clients in one building, temperature zones, billing by pallet-day.
Operations software fails when it is designed in a meeting room. So we start where the work happens and stay close to it.
Before any screen is drawn, we spend time at the gate, the collection centre, the ward or the line, with the people who will use it. Most requirements are hiding in the registers they already keep.
One site, one process, live with real users. Milk collection, or picking, or OPD registration. Then we widen it.
We agree what to measure up front, record where you are, and report the change honestly, including when it is small.
Documentation, training for supervisors, and source code arrangements that fit your IT policy. No black boxes.
A milk union, a plant, a DC or a hospital. Half an hour on a call is usually enough to know whether we can help.