MonoEdge · Pune & Jalna

The intelligence layer for Indian manufacturing.

Quick wins from Business Brain, and custom deep data science for the problems no product solves. The model on your mill is trained on your mill — it retrains multiple times a day and gets sharper the longer it runs.

Book a 30 min data audit

Built for the plants that run India

TEXTILETILES & CERAMICSSTEEL & ROLLINGAUTO COMPONENTSPHARMA & CHEMICALSFOOD & AGRO
01The scattered sources

Your plant generates perfect data every second. It lives in a dozen places that never meet.

Every one of them is correct. Every one is blind to the rest. We ingest all of it, we only ever read, and it comes out as one signal.

Tap a source

02The latency gap

You don't have a data problem. You have a latency problem.

Physical reality
2:00 PMA section drifts 23% above its normal power band
3:15 PMContinuous HMI sensor error
4:30 PMMinor failure, the line pauses
Operational reality
4:30 PMLogged in a paper register
8:00 PMMentioned in a crowded WhatsApp group
Next weekSits in Excel / Tally
Month-endManagement sees the aggregated report

0 units shipped and rejected in between. The most expensive cost in manufacturing is the time it takes to find out.

03The evidence problem

One rejected lot. Four stories.

Production

The material we were given was not to spec.

Maintenance

No fault was reported to us on that shift.

Quality

The process drifted. We flagged it at the time.

Purchase

The supplier cleared every incoming check.

Everyone is partly right. Nobody can prove it.

This is not a discipline problem. It is an evidence problem.

04The work

Not a generic model pointed at your data.

Each problem on a plant floor is its own data science problem. We build for the one in front of us, on the signals that plant already produces.

01 / 04

Drift and anomaly detection

Every signal is watched continuously against the envelope it normally holds. A parameter that walks out of that envelope — too slowly for anyone to call it a fault — is flagged during the shift, not at month-end.

02 / 04

Failure-pattern modelling

We identify recurring electromechanical failure patterns across a line and build a model around them. Failures that used to surface as unexplained stops arrive as early warnings, with the likely cause attached.

03 / 04

Supplier reliability, measured properly

Reliability is the shape of the whole distribution, not the single number printed on a certificate. Every delivery measured against what was promised, and the tail watched.

04 / 04

A knowledge base that outlives your people

Thirty years of judgement stops walking out of the door when your most experienced man retires. New hires get plain-language access to how the company actually runs, from day one.

DRIFT DETECTIONFAILURE MODELSCOMPUTER VISIONFORECASTINGSUPPLIER DISTRIBUTIONSROOT CAUSEDATA ENGINEERINGRETRAININGDRIFT DETECTIONFAILURE MODELSCOMPUTER VISIONFORECASTINGSUPPLIER DISTRIBUTIONSROOT CAUSEDATA ENGINEERINGRETRAINING
05What we built

Business Brain — an analyst that speaks where your team already lives.

An always-on analyst that quietly monitors your operations and reports on WhatsApp. No new software to learn. No dashboards to refresh. Flagged during the shift, not after it.

Process drift

A parameter walks out of its envelope, too slowly for anyone to call it a fault

Unplanned stop

The reason is attached while the shift still remembers it

Quality excursion

Conditions match what preceded the last three rejected lots

06Proof

A steel plant in the cluster: catching the unseen.

0+
Signals live
0
Departments
0+
Sheets integrated

We identified recurring electromechanical failure patterns across the line and built a model around them. Failures that used to surface as unexplained stops now arrive as early warnings, with the likely cause attached while there is still time to act on the shift.

Monthly downtime
900
min / month, before
~675
min / month, now

Down almost 25%. Throughput and stability up.

Book a 30 min data audit
POWERTEMPERATURELOADREJECTIONSDOWNTIMESHIFTSSTOCKCASHMARGINSTHROUGHPUTYIELDBREAKDOWNSPOWERTEMPERATURELOADREJECTIONSDOWNTIMESHIFTSSTOCKCASHMARGINSTHROUGHPUTYIELDBREAKDOWNS
07The anti-IT project

You have been sold software before. This is not that.

Integration
Standard ERP rollout

Rips out and replaces the workflows your floor already runs on

The MonoEdge way

Sits silently on top of what exists: Tally, PLC, Excel, the register

Adoption
Standard ERP rollout

Months of staff training and another login to remember

The MonoEdge way

Alerts arrive natively on WhatsApp. Zero training

Focus
Standard ERP rollout

Forces your people to do data entry to feed the software

The MonoEdge way

An invisible analyst that feeds your people actionable insight

We don't change how your floor works. We just make it visible. Your systems stay exactly where they are. Business Brain only reads.

08Where to start

Two ways in. The same idea behind both.

Find it before it costs you. What changes is the depth: one is the fast pass over everything you already keep, the other is a build against the one problem that is only yours.

The quick win

Business Brain

Low-hanging, live in weeks.

The leaks and drifts any plant would want caught — a bad lot, a machine warning for days, a supplier creeping up on rate. It reads what you already keep and reaches you on WhatsApp. Nothing to install, nothing to learn.

  • Live inside the first weeks
  • Alerts on WhatsApp, zero training
  • Runs on the data you already keep
See Business Brain
The high-leverage work

Deep data science

Custom, built on your plant.

The problem specific to your floor that no product solves. Computer vision on the line, bespoke failure models, forecasting built against your process — designed, trained and deployed on your mill, and retrained as it changes.

  • Computer vision on the line
  • Bespoke failure and quality models
  • Trained on your plant, not a benchmark
Talk about a custom build
PLCTALLYERPEXCELGOOGLE SHEETSQUALITY REGISTERSWHATSAPPGATE PASSESHR & SALARYSENSOR FEEDSPAPER DIARIESTEST REPORTSPLCTALLYERPEXCELGOOGLE SHEETSQUALITY REGISTERSWHATSAPPGATE PASSESHR & SALARYSENSOR FEEDSPAPER DIARIESTEST REPORTS
09The close

What is your plant already telling you?

The signal was there on Tuesday. It sat in a logbook for weeks because nobody could read it fast enough to act. Two weeks tells you what yours is saying.