IoT & Industrial Automation

Sensors that talk. Machines that listen. Plants that learn.

Industrial IoT, MES, SCADA, OPC UA, MQTT, edge compute, digital twins — Industry 4.0 isn't a slide deck for us, it's the stack we build on. From a single sensor on a CNC mill to a unified namespace across an entire plant, we wire the physical world into software that actually runs the business.

Industry 4.0, properly

Most factories already have sensors. Almost none of them have the data.

The gap between a sensor reading and a decision the business can act on is where most automation projects die. PLCs talk to other PLCs. SCADA shows the operator, not the CFO. Data sits in proprietary historians. We build the missing layer — OPC UA on the floor, MQTT to the cloud, MES in the middle — so every signal ends up where it needs to, in the form it needs to be in.

Unified namespace

Every signal, every machine, every line — addressable from one place.

The stack, top to floor

Five levels. One automation pyramid.

The classic ISA-95 / Purdue model — what every plant we touch looks like under the hood.

L4 · Enterprise
Business systems
ERPCRMBI dashboardsCloud analyticsAI / ML

Where boardroom decisions live — KPIs, finance, supply-chain planning.

L3 · Operations
MES + historian
MESMQTT brokerOPC UA serverHistorianQuality tracking

The plant brain. Schedules production, tracks orders, stores every signal.

L2 · Supervisory
SCADA + HMI
SCADAHMI panelsAlarm managementRecipe control

Operator-facing dashboards. Where humans see what the machines are doing.

L1 · Control
PLCs + edge
PLCsPACsEdge gatewaysProtocol converters

Real-time logic. Microsecond loops, deterministic control, safety interlocks.

L0 · Field
Sensors + actuators
SensorsDrivesMotorsValvesRFID / scanners

The physical layer. Where atoms become bits — and bits become atoms again.

Every signal flows up. Every command flows down. We make sure both directions stay clean.

Industrial IoT sensors and machines
Why it matters

“Every minute of unplanned downtime costs a manufacturer real money.

The average factory loses 800 hours a year to unplanned stops. The average factory with proper IIoT loses 200. The maths is straightforward.

Protocols we speak

Fourteen of them. Probably yours too.

Bridges between legacy fieldbuses and modern IIoT — without ripping out what works.

karvitech / fieldbus / drivers
READY
ProtocolLayerUseType
OPC UAL3 / L2Vendor-neutral industrial interopOpen
MQTT (Sparkplug B)L3Pub-sub for IIoT data flowOpen
Modbus TCP / RTUL1Legacy PLCs, RTUs, drivesOpen
EtherCATL1Sub-ms motion controlOpen
PROFINETL1Siemens automationVendor
PROFIBUS DPL1Legacy Siemens fieldbusVendor
EtherNet/IPL1Rockwell / Allen-BradleyVendor
BACnetL1Building automation, HVACOpen
S7 (TIA Portal)L1Siemens PLC nativeVendor
CAN / CANopenL1Vehicles, mobile machineryOpen
HARTL0Smart 4–20 mA sensorsOpen
IO-LinkL0Smart sensor / actuator I/OOpen
LoRaWANL0Low-power wide-area sensorsOpen
NB-IoTL0Cellular IoT, remote assetsOpen

Got something exotic — DNP3, IEC 61850, GENI, BiSS-C? We've probably touched it. Send us your protocol stack and we'll come back with a bridge plan.

The end picture

Plant floor, in one screen.

Plant Overview · Nellore
OEE
87.2%
↑ 4.3%
Throughput
1,284
↑ 6.1%
Downtime
12 min
↓ 38%
Active alerts
3
2 warn · 1 crit
Machines · 6 of 24 shown
polling every 250ms · MQTT
M-101
CNC Mill · Line A
RPM
4200
°C
62
LOAD
78%
M-102
Robot · Line A
RPM
0
°C
41
LOAD
52%
M-103
Conveyor · Line A
RPM
1860
°C
89
LOAD
91%
M-201
CNC Lathe · Line B
RPM
0
°C
28
LOAD
0%
M-202
Press · Line B
RPM
0
°C
71
LOAD
64%
M-203
Packing · Line B
RPM
1240
°C
38
LOAD
47%
Throughput · last 12 hours
↑ 14% vs yesterday
Recent alerts
warning14:32
AL-2104
Conveyor M-103 · vibration spike
info13:48
AL-2098
Lathe M-201 · scheduled maintenance due
critical11:21
AL-2089
Line B · OEE dropped below 75%
Connection
OPC UA● connected
MQTT broker● connected
MES sync● live

Sample dashboard. Yours mirrors your floor — same layout, your machines, your KPIs, your shifts.

Where we deploy

Ten sectors, one operating system.

Same playbook. Different sensors, different compliance, different floor walks.

Manufacturing

Discrete + process plants — cell-level monitoring, OEE tracking, traceability.

Energy & utilities

Substations, solar farms, water treatment — remote SCADA + load balancing.

Oil & gas

Wellhead monitoring, pipeline flow, tank gauging — explosion-proof gear, IEC 61511.

Food & beverage

Recipe control, batch tracking, cold-chain monitoring, FSSAI / FDA compliance.

Automotive

Body shop robotics, paint-line PLCs, MES handshakes, traceability per VIN.

Pharma & life sciences

GxP-validated systems, batch genealogy, electronic signatures (21 CFR Part 11).

Smart buildings

BMS, lighting, HVAC, occupancy — BACnet over IP, energy dashboards.

Agriculture

Precision farming, irrigation, livestock telemetry, drone integration.

Logistics & warehousing

AGV / AMR fleets, conveyor sortation, RFID, WMS handshakes.

Mining & metals

Crusher monitoring, conveyor health, dispatch systems, predictive maintenance.

What we handle

Twelve disciplines. All in-house.

Wiring on Monday. ML model on Friday. The same team owns both.

01

Sensor & instrumentation deployment

Pick the right transducer for the job. Install, wire, calibrate, document. Loop diagrams ready for audit.

02

PLC programming & integration

Siemens TIA Portal, Rockwell Studio 5000, Mitsubishi GX Works — ladder, structured text, function blocks.

03

SCADA / HMI development

Ignition, Wonderware, FactoryTalk, WinCC — operator screens that match how your team actually works.

04

MES integration

OEE, batch genealogy, scheduling, traceability — wired to your ERP via OPC UA or Sparkplug-B MQTT.

05

OPC UA & MQTT broker setup

Unified namespace, role-based access, certificates, redundancy. The connective tissue of your plant.

06

Edge compute & protocol gateways

Convert legacy fieldbuses, run inferencing on the edge, buffer when uplink fails. Sub-ms determinism.

07

Cloud analytics & dashboards

Stream telemetry to AWS / Azure / GCP. Time-series storage, real-time KPIs, executive views.

08

Predictive maintenance & ML

Vibration analytics, anomaly detection, failure prediction. Less wrench-time. Fewer unplanned stops.

09

Digital twin & simulation

Model the line in Unity / Omniverse, train operators, validate changes before the real floor sees them.

10

OT / IT cybersecurity

IEC 62443 segmentation, Purdue model zones, secure remote access, asset inventory, anomaly detection.

11

Compliance & standards

ISA-95, IEC 62443, GAMP 5, 21 CFR Part 11, FSSAI — depending on your sector. We document for audit.

12

Operator training & runbooks

Your team, on the system. Plus runbooks for incidents — so the right thing happens at 2 a.m.

Industrial automation control room
Where we're heading

“The plants that survive the next decade are the plants that listen to themselves.

Industry 4.0 was a buzzword. Industry 5.0 is the bill coming due.

The business case

Real numbers. Not slide-deck numbers.

What customers we've worked with see in the first 6–12 months. Your mileage depends on starting point and discipline.

25–50%
OEE uplift

On lines we instrument and tune in the first six months.

30–50%
Less unplanned downtime

Predictive maintenance + early fault detection.

10–25%
Lower maintenance spend

Run-to-condition replaces calendar-based servicing.

15–20%
Energy & utility savings

Real-time consumption visibility, peak shaving.

The next decade

Industry 4.0 was the rehearsal. 5.0 is the show.

Where the floor, the cloud, and the human meet — and what that means for the plants we're building right now.

01 / 06

Digital twins

A live, physics-accurate copy of your line. Test changes, train operators, predict outcomes — before the real machinery moves.

02 / 06

Edge AI / TinyML

Inference where the data is born. Sub-millisecond decisions, no cloud round-trip, vibration models running on the PLC itself.

03 / 06

5G factories

Wireless sub-ms control over private 5G. Mobile robots that roam, retool, and restream — without ethernet drops.

04 / 06

Autonomous mobile robots (AMRs)

Fleet-managed, SLAM-navigated, swap-attached. They map the floor, deliver kits, flex around humans.

05 / 06

Sustainability metrics

Per-product carbon, per-line energy, per-batch water. ESG reporting wired into the same OPC UA bus that runs the plant.

06 / 06

Industry 5.0 — humans + machines

Cobots that share workspace. Wearables that prevent injury. AI that augments operators instead of replacing them.

Industry 5.0 isn't a replacement for 4.0 — it's 4.0 with the human put back at the centre. The plant becomes a partner, not a process.

How we engage

Audit, pilot, prove, then we scale.

01

Plant audit

Walk the floor, list assets, capture the as-is. Two weeks. Output: a written maturity assessment.

02

Pilot one line

Instrument a single line, prove the data, prove the dashboards. ROI on a single line in 90 days.

03

Validate ROI

OEE before / after. Downtime before / after. A real number to take to the board.

04

Scale plant-wide

Roll out to remaining lines. Standardise the unified namespace. Train operators in waves.

05

Operate & improve

On-call, monthly reviews, ML model retraining, security patching. We stay on the line.

We don't do automation theatre. We do automation that pays for itself inside the first quarter.

Got a line worth instrumenting?

Free plant audit. Pilot in 90 days.

Walk us through one production line. We'll come back with a maturity assessment, a proposed unified namespace, and an OEE projection — yours to keep.

FAQ

Frequently asked questions