Industrial IoT, AI and cloud automation for Indian plants+91 8898014344 · support@dpinfotech.net
6–16%typical electricity bill reduction
<6 motypical payback
0shutdowns needed to install
24×7AI watching your plant
Plant visibility self-check

Can your plant head answer these today?

Tap every question your team cannot answer with a number right now. Each unknown is a cost hidden inside the monthly bill or the maintenance register.

How it works

From a signal on the shop floor to a ₹ decision

The same five steps sit behind every solution. Nothing is ripped out, and nothing writes into your control systems.

1

Sense

Use existing energy meters, PLCs, DCS and SCADA. Add clip-on sensors only where a signal is missing.

2

Connect

An edge gateway reads data read-only and sends it over 4G, independent of plant IT.

3

Understand

AI learns normal behaviour per machine and shift, then spots idle runs, drift and anomalies.

4

Act

Ranked alerts with the cause and ₹ value reach the right person, or trigger a rule you approved.

5

Prove

Before-and-after measurement and verification your CFO can sign off.

Modbus RTU / RS485Modbus TCPOPC-UAMQTTProfibus DP (read-only)Siemens S74G LTEAWS cloud
IoT + AI + Cloud · one platform

Three technologies. One platform. Results none of them deliver alone.

IoT gives a plant its senses, AI gives it judgement, and the cloud gives it memory and reach. Each is useful on its own. Joined in one platform, they turn a plant that reports into a plant that improves itself. Tap each part of the diagram to see what changes.

IoTsenses AIjudges Cloudremembers ONEPLATFORM
One incident, three layers

How the platform turns a failing pump into a planned Saturday job

This is what happens when a transfer pump starts to wear, on a platform where sensing, intelligence and cloud work together.

Tue 02:10IoT
The sensor notices

A vibration sensor on pump P-204 reads 34% above its normal band, and the bearing is 13 °C warmer than last week. Nobody is on the floor at that hour.

Tue 02:11AI
The model judges

AI matches the pattern to bearing wear learned from this pump's own history and similar pumps across sites. Verdict: plan a service in 12 to 18 days. Not urgent, not ignorable.

Tue 02:11Cloud
The cloud connects

The event is stored with its evidence, checked against spares in stores and the batch schedule, and sent to the maintenance head on WhatsApp in plain language, with the cost of a mid-batch failure: ₹4 to 8 lakh.

Sat 10:00All three
The plant acts, then learns

The bearing is replaced in a planned window. Vibration returns to normal, the platform records the saving, and the model gets sharper for the next pump. No lost batch, no emergency call-out.

Without the platform: the pump fails mid-batch on Thursday. Each technology alone would have helped a little. Together, they turn a breakdown into a work order.
The compound effect

What changes when sensing, intelligence and cloud share one platform

5–8%energy waste found in the first 90 daysIoT meters + AI baselines
30–40%less unplanned downtime on monitored assetsHealth sensors + failure prediction
₹4–8 Lsaved per off-spec batch avoidedDCS data + golden-batch AI
120+ hclerical hours freed every monthAutomatic OEE, logs and reports
<6 motypical payback on energy projectsCloud M&V proves the saving
1screen from shop floor to boardroomEvery site, every signal, one view

Typical results across our deployments and demos. Actual results depend on plant, equipment and practices.

Why one platform

Three vendors give you three systems. One platform gives you answers.

Most plants that try IoT, AI and cloud end up with a sensor vendor, an analytics tool and a hosting bill that do not talk to each other. Data is copied by hand, nobody owns the whole picture, and the project stalls after the pilot.

Separate vendorsOne platform
DataSilos and exportsOne stream, sensor to report
IntegrationYour IT team's problemBuilt in from day one
AI accuracyTrained on partial dataLearns from every signal and site
SecurityThree attack surfacesRead-only edge, private VPN, one operator
AccountabilityEach vendor blames the nextOne team answers for the result
Time to valueMonths of integrationLive data in weeks, proven in 8
Solutions

Six ways to put your operations data to work

Each solution has its own page with a running sample dashboard, features, results and how we would start.

DPinfotech Cloud

The cloud behind the automation, run from Navi Mumbai

Dashboards, data and remote access need somewhere safe to live. We host them ourselves: app hosting, S3 storage, a team drive and a private VPN, on hardware our own team operates in India.

Automation acts at the edge, in milliseconds. The cloud is where the plant remembers, learns and is seen across every site. Why cloud is integral to industrial operations →

App Server control panelpanel.dpinfotech.net ↗StorageBay S3 consoles3.dpinfotech.net ↗Vault team drivestorage.dpinfotech.net ↗Secure VPN portalvpn.dpinfotech.net ↗Web Hosting portalhosting.dpinfotech.net ↗

Explore cloud services

PROXMOX HOSTS · NAVI MUMBAIDOCKER · TRAEFIK · AUTO-SSLS3app.client.in🔒 SSL · livePLANT PLCPROVISIONEDon payment ✓
Proof, not promises

Saving energy is half the job. Proving it is the other half.

Every intervention is measured against a normalised baseline with the IPMVP method, so the result holds up in front of a CFO, a bank or a BEE auditor.

How we verify savings
SAMPLE · AUTO-COMPONENT PLANT, PUNEBEFORE vs 3 MONTHS AFTER
₹18.4 L
₹15.1 L
820 kVA
710 kVA
4.2
3.6
0.88 · penalty
0.97
₹3.3 L / month
verified saving · ₹39.6 L a year
17.9% lower · 4.2-month payback

Illustrative example. Actual results depend on plant, tariff and practices.

Why work with us

Built on the plant floor, not in a slide deck

Read-only by design

Proven under strict no-modification rules on port-crane PLCs. Your control systems keep running the plant.

Running in the field

Fuel and engine monitoring live on 30+ harbour cranes and a 45-machine rental fleet, 24×7, on our own hardware and 4G.

One team, end to end

Sensors, gateways, dashboards, cloud hosting, networking and firewalls from a single team, so nothing falls between vendors.

Local and fast

Based in Navi Mumbai. Site visits across the MIDC corridors in hours, support in your time zone, pricing in INR.

Tariff aware

MSEDCL HT logic built in: demand ratchet, TOD slabs and power-factor penalties are part of every ₹ figure.

Starts small

A free 30-day health check, then an 8-week pilot with success criteria agreed in advance.

Stop guessing. Start knowing.

Free 30-day plant health check. No obligation, no production disruption. If we find nothing meaningful, you walk away.

Book a free assessmentSee your industry