Run the plant
on real-time data.
An Intelligent MES built on the live machine signal. Connect every CNC, automate OEE, schedule against actual capacity, and turn the data your floor already produces into the decisions your business needs.
Projected energy reduction (year 1)
Target reduction in unplanned failures
Platform uptime target
On-call engineering support
Figures are projected targets based on industry benchmarks, not achieved results.
Every machine. One signal.
The platform ingests every cycle, every stoppage, every parameter from any controller, any vintage, and feeds it to the applications and teams that need it, in real time.
The machine signal, applied everywhere it matters.
Platform
Industrial IoT & digital backbone
Platform Overview
One data layer for every machine, utility, and process on the floor...
Schedule, dispatch, quality & traceability
Intelligent MES
The plan and the production talk to each other every second...
Every CNC, any vintage, one network
Machine Monitoring
MTConnect, OPC UA, FOCAS, Melsec, and a retrofit kit for machines too old for any protocol...
Applications
OEE, downtime, and utilisation in real time
Production Monitoring
Live, automated tracking of every line, cell, and shift. Eliminate manual data collection, along with the blind spots, delays, and arguments that come with it.
Continuous asset health intelligence
Condition Monitoring
Vibration, temperature, current, and acoustic signatures captured continuously, so reliability engineers see degradation while there is still time to act.
Failure prediction before breakdown
Predictive Maintenance
Move from time-based to condition- and prediction-based maintenance. Failure-mode models combine asset signals with operational context to flag what is about to break.
Higher yield, lower waste, less energy
Process Optimization
Find and lock in the operating points that produce more with less. We combine process knowledge, live data, and modelling to push every line closer to its theoretical best.
Integrates with your existing stack
What to expect.
Projected outcomes based on industry benchmarks. Your results will depend on your facility and baseline.
20–40%
Downtime reduction
Automated OEE tracking and real-time downtime capture catch the hidden losses no one sees until it's too late.
Learn more→30–50%
Fewer unplanned failures
Failure-mode models combine vibration, thermal, and process signals to flag what's about to break before it does.
Learn more→+6pp
First-pass yield uplift
Process analytics tie quality outcomes back to the parameters that drove them, so the fix is permanent, not a patch.
Learn more→18%
Average energy reduction
Energy per unit benchmarked by line and shift, with optimisation recommendations tied to actual production context.
Learn more→The Platform
An Intelligent MES, built on the machine signal.
Connect every asset, automate every OEE roll-up, and close the loop between the plan and the production floor, all from one operational data layer.
MES · Live Schedule
Predictive Alert
Bearing vibration +14% over 72h. Failure window: 8–11 days.
OEE · Line 3
87.4%
Process Optimization
Built for the floor you run.
All industries→
Tier-1, Tier-2, and assembly plants
Automotive
From stamping and machining to assembly and final test, connect every station, automate every OEE roll-up, and tie quality back to the parameters that drove it.
- Takt-time pressure with rising mix complexity
- IATF 16949 traceability across thousands of parts
High-mix job shops & custom production
Contract Manufacturers
For shops running ten different parts on the same machine before lunch, real-time production data and automated OEE give you the visibility to quote tighter, deliver sooner, and win more business from existing customers.
- Quoting against unknown true machine capacity
- Manual downtime tracking nobody trusts
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OEMs building the machines industry runs on
Heavy Machinery
For builders of heavy equipment, the engineering, connectivity, and analytics layer that turns every machine you ship into a connected product, a fleet asset, and a recurring revenue line.
- Customers buying uptime, not equipment
- Engineering blind to how machines age in the field
Continuous and batch chemical processing
Chemical Process Plants
Continuous and batch plants where every degree, every bar, and every minute matters. Tie process parameters to outcomes, lock in the operating points that pay, and keep auditors happy.
- Yield trapped between safety and throughput
- Energy intensity and emissions disclosure
Class II & Class III device manufacturing
Medical Devices
Where every part has a serial, every operation a record, and every record an auditor. Genealogy by design, electronic batch records the line agrees with.
- FDA 21 CFR Part 11 evidence chain
- Electronic batch records the floor will actually use
Industrial IoT · AgriTech
Advanced Farming
From soil to ceiling, Energymascon brings Industrial IoT engineering to agriculture, connecting sensors, systems, and data into farms that sense conditions, respond, and perform.
- Tighter margins and rising input costs demanding precision
- Labour shortages requiring automation of manual monitoring
Supporting technology pathfinding
R&D Labs
For research and pilot environments where the equipment is one-of-a-kind, the experiments are bespoke, and the data is the deliverable.
- Custom rigs with no out-of-box telemetry
- Data scattered across notebooks and spreadsheets
ROI Calculator
What does downtime actually cost you?
Adjust the inputs to model your plant. We'll show you the financial case for connected intelligence.
Estimated annual savings
₹7,68,750
₹64,063 / month
₹2,88,750
Downtime savings
₹4,80,000
OEE uplift value
0.1mo
Payback period
3-year ROI
vs. platform investment
1608%
Predictive Maintenance
Fix what's about to break. Not what already did.
Most plants still run reactive or preventive maintenance, costing 3-8x more per failure event than a predictive approach. Energymascon's failure-mode models combine vibration, thermal, and process signals to give your reliability teams the window they need to act.
Learn about predictive maintenance→Maintenance strategy comparison
Unplanned failures, emergency crews, expedited parts: the most expensive way to maintain.
Calendar-based maintenance replaces parts that still have life left and misses failures between cycles.
Sensor thresholds trigger action when parameters deviate. Better than the calendar, but not as sharp as prediction.
Failure-mode models combine asset signals to flag what's about to break, with time to plan.
Relative cost per failure event
See the solution→How we work
From signal to outcome, together.
Discover
We map your assets, processes, and constraints, then define what success looks like in operational terms.
Design
Multidisciplinary engineering teams design solutions across mechanical, electrical, automation, and digital layers.
Deploy
Phased rollout with instrumentation, integration, and commissioning, minimizing operational disruption.
Operate
Continuous monitoring, optimization, and managed services keep performance compounding over time.
Why Energymascon
Engineering depth. Digital fluency. Operational results.
Now accepting pilot partners.
We are working with a small group of manufacturers to deploy, validate, and refine the platform in real production environments. If you run a facility with CNC, injection moulding, or energy-intensive equipment, we want to talk.
Apply for early accessEngineering depth
Multidisciplinary depth across process, mechanical, electrical, automation, and digital systems.
Digital-native
IoT, automation, and analytics aren't bolt-ons. They're built into how we engineer from day one.
Compliance-led
Designs are aligned with the latest regulatory and industry standards from concept to commissioning.
Sustainable by design
Every engagement is measured against efficiency, resilience, and long-term operational value.
Let's engineer the next chapter
Bring your operational challenge. We'll bring the engineering.
Whether you're connecting a single line or upgrading a multi-site operation, Energymascon has the depth to deliver, from first signal to full-scale deployment.