Aimetric Automation Pvt. Ltd.

Every machine is already talking.
We make the plant listen.

We connect legacy PLCs and modern sensors to AI-driven analytics — ADAM acquires the signal across any industrial protocol, LARA turns it into live dashboards, reports and failure predictions. From protocol to prediction, in weeks rather than quarters.

Book a feasibility study Meet LARA & ADAM
0%
Less unplanned
downtime
0%
Lower maintenance
cost
0%
Shop-floor
visibility
Line 04 · Press Shop
ADAM · 1 240 tags
ALARM THRESHOLD
Vibration
4.24 mm/s
Bearing temp
68.4 °C
OEE
87.1 %

LARA prediction: spindle bearing degradation — service in 96 h

Speaks your floor Modbus TCP Modbus RTU EtherNet/IP PROFINET OPC UA MQTT Siemens S7 CAN bus RS-485 Serial BACnet SNMP Raw TCP/IP

Where our systems run

Running on the floors of
industrial majors.

Under NDA we keep names off the website — but not the scale. These are the plants our software runs in today.

01
Automotive &
farm equipment

A leading Indian multinational conglomerate

ROS-based navigation and decision brains for autonomous mobile robots moving material across assembly.

02
Line pipe &
home textiles

One of the world's largest pipe manufacturers

Weld defect data capture and analytics across the spiral mill, plus predictive maintenance on critical assets.

03
Automotive
batteries

A top-three Indian battery manufacturer

Asset performance analytics and energy monitoring across formation, assembly and utility blocks.

04
Auto components
South Korea

A tier-one component supplier

A custom manufacturing execution platform built to their process, not to a product roadmap.

What we do

Automation engineering,
end to end.

We are not a dashboard vendor bolted onto someone else's stack. We wire the sensors, write the acquisition layer, model the data and ship the application.

Smart shop-floor automation

Automating manual and semi-manual station processes — interlocks, sequencing, traceability and operator guidance — so the line runs the same way on every shift.

Asset performance optimization

Finding the bottleneck that actually costs you output. We instrument the constraint, quantify every loss and push 10–15% more from the assets you already own.

Asset performance analytics

A 360° view of interconnected assets with 100% production-loss visibility for root-cause analysis — reliability, availability and maintenance cost on one pane.

Part defect analysis

Capturing defect data at the point it is created — weld, press, coat, assemble — and correlating it back to machine parameters, batch and operator.

Autonomous mobile robots

ROS and ROS 2 based AMR brains — mapping, localisation, path planning, fleet coordination and safe interaction with people and forklifts.

Automation feasibility studies

Before you spend on capex: we study the manual process, model what automation would return, and tell you honestly which steps are worth automating.

Our products

Two pieces of software
that do the heavy lifting.

One gets the data out of the floor. The other turns it into something a plant head can act on before the shift ends.

LARA

Product 01

Dashboard Rapid Development Framework

LARA is how we ship a plant dashboard in days instead of a development cycle. It composes reporting applications on the fly from your live tag data — and carries an AI layer that learns each asset's own failure signature.

  • 01

    Dashboards on the fly

    Build, change and redeploy operator, supervisor and management views without a rebuild cycle.

  • 02

    AI predictive maintenance

    Models trained on your own asset history flag degradation before it becomes a breakdown.

  • 03

    Reporting that writes itself

    Shift, downtime, OEE and energy reports generated and distributed automatically.

Plant overview · Shift B
OEE
87.1%
Availability
94.2%
Rejects
0.8%
At risk
3
Downtime by cause · minutes
Top 3 causes Remaining
Asset health
71%
healthy

ADAM

Product 02

Asynchronous Data Acquisition Module

ADAM is the layer that refuses to care how old your equipment is. It polls hundreds of tags asynchronously — so one slow device never starves the rest of the line — and streams everything into a store built for fast queries.

  • 01

    Legacy and modern, same day

    Modbus TCP/RTU, EtherNet/IP, PROFINET, OPC UA, MQTT, Siemens S7, serial and raw TCP.

  • 02

    Two-way by design

    Not just a reader. ADAM writes setpoints, recipes and commands back down to the floor.

  • 03

    Built for query speed

    A time-series schema tuned so a year of tag history answers in the time a page takes to paint.

Acquisition bus polling
MODBUS TCP Press line PLC · 412 tags 12 ms
OPC UA Paint shop SCADA · 308 tags 31 ms
RS-485 Energy meters · 96 tags 240 ms
WRITE ↓ Setpoint pushed to oven zone 3 ack 8 ms
1 240
tags polled
4
protocols
0
dropped reads

The platform

Sensor to decision,
and back again.

Most systems stop at the dashboard. Ours completes the loop — what the analytics conclude, the floor can be told.

01 · FIELD PLCs · Sensors Meters · Vision · Drives 02 · ACQUIRE ADAM Async multi-protocol I/O 03 · STORE Time-series Query-tuned historian 04 · ANALYSE & PREDICT LARA Dashboards · Reports · ML models Plant head · Maintenance · Quality ALERTS · SHIFT REPORTS · RCA TWO-WAY CONTROL · SETPOINT & RECIPE WRITE-BACK

Measured outcomes

What our clients actually got.

0%

Increased output from existing assets

0%

Reduction in unplanned downtime

0%

Reduction in maintenance cost

0°

View of interconnected assets

Case studies

Systems we have
already built and shipped.

Client names are withheld under NDA. The sectors, the problems and the results are real.

All six case studies
Energy CS-01

Energy Management System

Plant-wide energy metering pulled onto one platform — consumption per line, per shift, per product — turning an untracked overhead into a controllable cost.

Sector — automotive batteries

Utilities CS-02

Utility Management System

Compressed air, chillers, boilers and pumps instrumented and monitored together, with alerts on efficiency drift long before a utility failure stops production.

Sector — heavy manufacturing

Water CS-03

Water Management System

Intake, treatment, process consumption and effluent tracked end to end — closing the gap between what a plant draws and what it can actually account for.

Sector — process industry

Renewables CS-04

Solar Management System

String-level generation monitoring against irradiance, isolating underperforming inverters and soiling losses to recover productivity a plant was quietly giving away.

Sector — captive solar generation

Quality CS-05

Pipe Weld Defect Analytics

Weld defect data captured at the mill and correlated to machine parameters and batch — giving quality a traceable reason for every rejection instead of an opinion.

Sector — one of the world's largest pipe makers

Robotics CS-06

ROS-Based AMR Brains

The navigation and decision stack for autonomous mobile robots — mapping, localisation, path planning and fleet coordination on a live, people-filled shop floor.

Sector — Indian automotive & farm-equipment major

Engineering

If it can be automated,
we can write it.

Products are where we start, not where we stop. A large part of our work is custom — applications built to one plant's process, integrated with whatever is already running there, in whichever stack the IT team has to maintain afterwards.

Discuss a custom build
Languages

Python · .NET / C# · PHP · C++ · JavaScript

Robotics

ROS · ROS 2 · SLAM · Nav2 · Fleet control

Data

Time-series stores · SQL · Historians · ETL

Intelligence

Predictive models · Anomaly detection · Vision

On-premise or cloud Edge gateways Existing SCADA integration Handover & training

Start here

Tell us which process
still runs on paper.

We will study it, model what automating it returns, and tell you plainly whether it is worth doing. No obligation to build anything with us afterwards.

Book a feasibility study sales@aimetric.in

Typical first step

A one-week plant walk-through

Typical first output

A dashboard your team uses daily

Engagement

Project, retainer or handover