✦ IIoT & Industrial Solutions

IIoT Development

We design and build Industrial IoT systems that connect your machines, sensors, and production lines to intelligent cloud platforms — delivering real-time OEE dashboards, predictive maintenance alerts, energy monitoring, and data-driven manufacturing intelligence that cuts downtime and operational costs.

40%Downtime Reduction Avg
30%Energy Cost Savings
50+IIoT Projects Delivered
99.9%Sensor Uptime
Our Services

What We Deliver

Comprehensive solutions designed around your business goals — built by specialists who've deployed these systems at scale.

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Sensor & Device Integration

Modbus, OPC-UA, MQTT, and industrial protocol integration — connecting PLCs, SCADA systems, and legacy machines to modern data pipelines.

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Edge Computing Solutions

On-premise edge devices processing sensor data locally with sub-millisecond latency — critical for real-time control and safety applications.

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Real-Time OEE Dashboard

Live Overall Equipment Effectiveness monitoring — availability, performance, and quality metrics surfaced for every machine and line.

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Predictive Maintenance AI

ML models trained on vibration, temperature, and current signatures to predict equipment failures 14–30 days in advance.

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Energy Monitoring & Optimisation

Power consumption monitoring at machine, line, and plant level — identifying waste patterns and enabling demand-side optimisation.

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ERP & MES Integration

IIoT data connected to SAP, Odoo, or custom ERP/MES — production actuals updating planning systems automatically in real time.

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Why It Matters

From Dumb Machines to Intelligent Production Systems

Most manufacturing plants have decades of machine data locked inside PLCs and SCADA systems with no visibility beyond the shop floor. We liberate that data into actionable intelligence — giving operations, maintenance, and management teams a real-time, connected view of production.

MQTTOPC-UAModbusNode-REDAWS IoT CoreAzure IoT HubInfluxDBTimescaleDBGrafanaTensorFlow LiteNVIDIA JetsonRaspberry PiDockerKafka
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Protocol-Agnostic Integration

Modbus RTU/TCP, OPC-UA, MQTT, Profinet, EtherNet/IP — we connect whatever your machines speak, old or new.

Edge-First Architecture

Edge processing handles real-time control and safety logic locally — cloud handles analytics, storage, and remote access.

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Predictive, Not Reactive

AI-powered failure prediction gives maintenance teams a 14–30 day advance warning — planned interventions replace emergency breakdowns.

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Operator-Friendly Dashboards

Dashboards designed for shift supervisors and maintenance engineers — not data scientists. Action-oriented, not just data-rich.

How We Work

Our Proven Delivery Process

A structured, agile methodology that delivers on time, on budget, and beyond expectations — every single time.

01

Plant Assessment & Architecture

On-site assessment of machines, protocols, network, and connectivity — IIoT architecture designed for your environment.

02

Edge Device Deployment

Edge hardware installed, protocol adapters configured, and data pipelines validated on the shop floor.

03

Cloud Platform & Storage

IoT cloud platform configured with time-series database, real-time streaming, and data retention policies.

04

Dashboard & Alert Development

OEE dashboards, energy monitors, and predictive maintenance alert systems built for each user role.

05

AI Model Training & Deployment

Predictive models trained on captured sensor data and deployed to production with monitoring.

Why ScaleUpTH

Why Businesses Choose Us

We combine technical depth with business pragmatism — delivering solutions that create real, measurable impact.

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40% Downtime Reduction

Predictive maintenance and real-time alerts catch issues before they become line stoppages — planned vs. emergency.

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30% Energy Savings

Machine-level energy monitoring identifies waste patterns that blanket energy audits consistently miss.

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Real-Time Production Visibility

OEE and production actuals visible to every stakeholder — from shift supervisor to CEO — in real time.

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ERP-Connected Intelligence

Production data flows directly to planning and finance systems — no manual reporting, no data reconciliation.

FAQ

Frequently Asked Questions

Everything you need to know before getting started.

Can you connect our old legacy machines that have no network port?+
Yes — we use serial-to-Ethernet converters, OPC-UA wrappers, and current/vibration sensors to connect machines from the 1980s onwards without PLC modifications.
Where is the data stored — on-premise or cloud?+
Both — edge devices store and process time-critical data locally. Cloud handles long-term analytics, remote access, and AI model training. Data residency is configurable.
How long does an IIoT deployment take?+
A focused deployment covering 10–20 machines with OEE dashboards and alerts typically takes 8–14 weeks from site assessment to go-live.
Can IIoT integrate with our existing SAP or ERP?+
Yes — production actuals, machine events, and quality data push to SAP, Odoo, or custom ERP via REST APIs or SAP IDoc — updating work orders and production reports automatically.
What happens if the internet connection is lost?+
Edge devices buffer data locally and sync when connectivity is restored. Critical on-premise dashboards continue operating without internet — cloud is for analytics, not real-time control.
Ready to Start?

Let's Build Your IIoT Solution

Tell us your requirements — we'll have a tailored proposal and free consultation in your inbox within 24 hours.

Start Your Project 📞 +91 93370 35617
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With Us Today

Share your vision — we respond within 24 hours with a tailored proposal and free consultation.

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LocationCuttack, Odisha, India
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HoursMon–Sat, 9 AM – 7 PM IST

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