For cement plant owners, GMs & plant heads
Get AI predictions, prescriptive recommendations, and answers from an AI copilot on anything about your plant's numbers — just by uploading a DCS or historian export. It generates a gap report, every gap valued in ₹ per month, with the operator action behind it.
Or enter the shift log — takes about ten minutes — and AI predictions start within 48 hours.
Want DCS integration to suggest setpoints? We scope a read-only OPC UA connection with your instrumentation/IT team, on a server inside your plant network — and the predictions run against the kiln as it turns.
No sensors, no site visit. Free during early access.
Three numbers you know by heart, 30 seconds, nothing stored — or upload a month of data for the full ₹-quantified report. The tour is real screens, no signup.
Download a sample report (PDF)·How it works
21
plant data sheets analyzed
50+
AI predictions per plant
₹ / month
every finding financially valued
Free
full access during early access
Five stops, in the order the money moves — from one number to the operator setting behind it. Not mockups: screenshots of the running platform on its built-in demo plant, a fictional 3.5 MTPA unit. Load a month of your own data and these become your numbers.
One number: what this plant is losing per month, across every area.


Open the kiln and see the heat-rate gap that produced that number.

A recommendation with the operator setting to change — and what closing it is worth.

The same findings as a PDF you can hand to a GM without explaining a dashboard.
Rather than show you a picture of one — here is a real one, generated by the engine from the demo plant above.
Download the sample report (PDF)The tour ends on the only question that matters: what would this take on your numbers?
Three numbers and 30 seconds — or a month of data for the whole picture.
The ₹ figures above are the demo plant’s, not a customer’s.
Two ways in. Watch it run on a demo plant first, or point it at your own numbers — most plants do both, in that order.
The same five stops as the tour above — but live, in the real product rather than in screenshots. Sign in and load the built-in demo plant (a fictional 3.5 MTPA unit with a full month of data) and a guided walkthrough offers to take you through them, on the same screens your team would use.
Free, no data, no NDA — you only need an email to sign in, plus a couple of minutes while the engine analyses the demo month.
Whatever your plant already has, there is a way in. No sensors and no site visit — and nothing has to touch your control system to get your first report.
Most plants start with an export. If your data cannot leave the site, start with the shift log.
"We already export from the DCS or historian"
You see something
Minutes from upload
It costs you
One export, once
"Our data cannot leave the site"
You see something
Same shift
It costs you
~10 minutes a shift
"We want it reading the control system live"
You see something
Weeks, not minutes
It costs you
Your IT team and a scoping call
Not sure which fits? Start with whichever needs no permission from anyone — you can switch or combine them later, and the analysis is the same either way.
On our demo dataset — a fictional 3.5 MTPA plant — the engine identifies ₹5.55 crore per month of savings opportunity across 51 specific recommendations. Your numbers will be your own; the method is the same.
Excess Kcal/Kg clinker vs achievable target, valued at your coal cost — plus CO, exit-gas heat recovery and stability findings.
kWh/T gaps per mill against its own demonstrated capability — separator speed, moisture and Blaine over-grinding attributions.
Power factor penalty, specific power vs benchmark, demand-window patterns from your own load profile.
Free lime, LSF drift and 28-day strength forecasts — catching giveaway and reject risk before the lab does.
Availability gaps and throughput below demonstrated capability, valued at contribution margin — not inflated sale price.
Ask "why is clinker production below target?" and get answers grounded in your uploaded numbers, not generic advice.
Most plants start on the cloud for speed. If your data-security policy says nothing leaves the premises, we deploy the same platform on a server inside your plant network.
FOR STRICT DATA-SECURITY POLICIES
Not sure which fits your IT policy? Mention it in the form — we'll advise honestly, including starting the free report on-premise if that's what your policy requires.
We know plant data is commercially sensitive. We built the platform around that — and we put it in writing before you send a single row.
CementAI is founder-run. When you send your data, it is analyzed and reviewed personally — you talk to the person who built the engine, not a sales team. If your plant's export format doesn't match the template, we'll map it together on a call.
Two reasons to use this instead: you want someone to sit with the first export and the mutual NDA, or you are scoping the read-only OPC UA link and need a conversation with your instrumentation team in it. Either way we reply within one working day.
Have the export already? You do not need us for this. Upload it yourself and get the report in minutes →
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