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DeepVision Labs
AI at the core of every product

AI-driven software for dairies, plants, warehouses and hospitals.

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

Our achievements

Organisations running software we built, with AI at its core.

  • Nandini logo
    NandiniKMF Chamul, dairy
  • Balu Hospital logo
    Balu HospitalHospital management
  • RAAHI logo
    RAAHIMedical assisted travel
  • Balaji Industries logo
    Balaji IndustriesBalaji Process, saree polishing
  • Ramesh Printers logo
    Ramesh PrintersPrint and packaging

AI is the engine, not an add-on.

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.

Dairy

  • Flags likely adulteration from fat, SNF and quantity patterns per farmer
  • Warns when a tagged cow's yield drop suggests illness or heat
  • Forecasts tomorrow's procurement by route and collection centre

Warehouse

  • Recommends the putaway slot and re-slotting for fast movers
  • Predicts which pick waves will miss their truck
  • Spots count variances that repeat by slot, SKU or shift

Healthcare

  • Matches the right assistant to each RAAHI trip and predicts arrival time
  • Forecasts bed occupancy and discharges for the next few days
  • Predicts appointment no-shows so slots can be refilled

Manufacturing and print

  • Camera checks for defects on sarees, prints and parts
  • Sequences jobs on presses and machines to cut changeovers
  • Predicts downtime from machine and maintenance history

Learns from your data

Models are trained on the site's own history, not someone else's averages.

Explains itself

Every flag and suggestion shows why it was made, in plain words.

People stay in charge

AI recommends. A supervisor accepts, edits or ignores, and that feedback trains it.

Sees as well as counts

Vision models read labels and spot defects where a camera is cheaper than a person.

Five kinds of work, one AI core.

Factory operations

Production planning, work orders and rejection capture, with AI that predicts downtime and catches defects on camera before they leave the line.

Enterprise software

Systems built around how a business actually runs, like the AI-driven enterprise software we built for Balaji Process, a saree polishing factory.

Engineer at a workstation in a production lab

AI analytics and vision

Forecasts, anomaly flags and vision checks built on your own data, with the reasoning shown so supervisors can argue with it.

  • Milk procurement forecasting
  • Adulteration and quality flags
  • Camera-based QC on the line
  • Bed occupancy and discharge planning

From the cow to the collection tank

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.

Dairy cows in a shed, each with a numbered yellow ear tag

Every animal on record

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.

A farmer pouring milk from a steel can into a bulk milk cooler at a village collection centre

Collection, shift by shift

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

A technician testing a milk sample on an electronic milk analyser at the collection centre

Fat and SNF, straight from the analyser

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

Aerial view of a distribution centre
Press operator checking printed sheets at an offset press
Hospital reception desk

Where our software runs

Dairy and milk unions

Village collection, fat and SNF testing, herd records and payments, with AI quality flags.

Hospitals and clinics

OPD, IPD and beds, pharmacy, lab, billing and insurance claims in one system.

Healthcare mobility

Booked pickups from home, handover at the hospital and a safe trip back.

FMCG and food

High SKU counts, batch and recipe control, and GT, MT and e-commerce channels with their own rules.

Discrete manufacturing

Work orders, WIP and rejections on the line, from auto parts to fabrication.

Textile and saree processing

Polishing and finishing units: customer lots in, process stages, quality checks and dispatch back.

Printing and packaging

Job cards, plate and paper stock, press schedules and dispatch.

Cold chain and 3PL

Several clients in one building, temperature zones, billing by pallet-day.

How we work

Operations software fails when it is designed in a meeting room. So we start where the work happens and stay close to it.

  1. 01

    Walk the floor first

    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.

  2. 02

    Ship one flow, end to end

    One site, one process, live with real users. Milk collection, or picking, or OPD registration. Then we widen it.

  3. 03

    Measure against your baseline

    We agree what to measure up front, record where you are, and report the change honestly, including when it is small.

  4. 04

    Leave you able to run it

    Documentation, training for supervisors, and source code arrangements that fit your IT policy. No black boxes.

Tell us what your floor looks like.

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.