Secure
Trusted Data.
State-of-the-art IoT technology powered by the secure AWS cloud. One-way data communication ensures your environment remains protected while delivering accurate, high-fidelity tagging.
One-way secure telemetry to AWS
Advanced AI Asset Analytics
Identify Risk.Monitor.
Delivering advanced optimization and failure prevention by transforming IoT data into trusted and actionable AI insights. Move from reactive alarms to risk-based maintenance.
The Value Chain
From raw signal
to business outcome.
Most monitoring stops at the dashboard. IoTea provides deep, physics-based analytics to carry the signal all the way through — maximizing uptime and unlocking true operational savings.
01
Monitor
Transform raw IoT data into trusted insights.
Capture telemetry across your entire fleet. We normalize the data to deliver a consistent, secure view of all your critical assets in real time.
02
Predict
Shift from reactive alarms to predictive lead time.
Our physics-based AI detects anomalies and forecasts asset health decline, allowing you to schedule maintenance days or weeks before a failure occurs.
03
Act
Risk-based interventions backed by deep expertise.
Receive bespoke AI-driven recommendations and quality-assured asset reports. Act decisively with the financial and operational evidence to justify every intervention.
Advanced AI Asset Analytics
Delivering advanced optimization
and failure prevention.
Smart
Platform Insights.
Proprietary physics-based AI machine learning models learn your assets. We deliver asset-specific lifetime estimates, clear KPIs, and pinpoint anomalies.
Asset Lifetime Extension85%
Anomaly Detection Rate98%
KPI Accuracy99%
Supported
Deep Expertise.
More than just a dashboard. Get quality-assured asset reports, continual anomaly investigation by our engineering team, and bespoke recommendations tailored to your infrastructure.
Expert engineers actively monitoring
ROI
Operational Savings.
Turn intelligence into measurable value. We quantify your savings potential across multiple dimensions, giving you the business case to scale predictive maintenance.
Energy SavingsCarbon EmissionsMaintenance CostsDowntime Reduction
How it works
From panel connection
to prediction in days.
01
Connect to what’s already there
We wire into your existing control boards and BAS interfaces. Cat5, dry contacts, open module ports, MQTT, OPC-UA, Modbus — whatever your equipment speaks, we speak.
Port-level integration02
The system learns your equipment
Over the first weeks of operation, IoTea learns what normal looks like — load cycles, valve patterns, control-loop drift — so it can flag what isn’t.
Pattern learning03
Insights flow to where your team works
Alerts route into your CMMS, ERP, or work-order platform. Your team gets live trends, pre-failure warnings, and an AI assistant they can query.
Work-order routing[08:14:22] INIT: TCP/IP → 192.168.1.104:502 (Modbus)
[08:14:23] Handshake established. Authenticating...
[08:14:24] Connected. Polling registers 40001-40012...
{
"voltage_L1": 480.2,
"current_L1": 14.4,
"frequency": 60.01,
"temp_celsius": 42.5
}
[08:14:25] Signal locked. Streaming to IoTea Cloud.
The Platform
One pane of glass.
Every site. Every OEM.
Built for the people managing performance from a distance — not the operator standing next to the equipment.
IoTea — Control Center
Plant overview
Live24h7d30dQTD
Assets online
4,218
+1.2%
Anomalies (24h)
37
−8
Mean response
1.4m
−12s
Uptime
99.98%
SLA
Throughput · last 24h
12,480 units
ActualForecast
Decision log
09:42
Turbine 7A
Vibration drift — auto-balanced
09:31
Line 3
Torque spike flagged, review queued
09:18
Press 12
Predicted bearing fatigue in 38d
08:57
HVAC N
Airflow restored
08:44
Reactor 2
Thermal envelope normalized
Portfolio view
Every site, one screen, one data model.
Pre-failure alerts
Drift, degradation, and anomalies surfaced days ahead.
AI assistant
Plain-English queries against live and historized data.
CMMS routing
Alerts flow into SAP PM, Maximo, and existing work-order tools.
Who it’s for
Built to fit wherever
intelligence sits in a panel.
Substations, solar, data centers, mechanical rooms, OEM fleets in the field. The environments differ — the integration pattern doesn’t.
In the field
Early deployments, in motion.
Pilot
An industrial OEM manufacturer — fleet monitoring across a multi-site product line.
Pilot
A commercial solar farm operator — portfolio-wide inverter and string-level visibility.
Pilot
A substation developer — commissioning and operational telemetry across distributed sites.
Each deployment is custom-built. References available under NDA.
How we work
Every deployment,
custom-built.
IoTea isn’t a generic platform dropped onto your equipment. We integrate directly with the hardware in your panels — which means every pilot ships with the exact fit for your environment, and nothing you don’t need.
Port-level integration
No middleware. No gateway tax. We wire into what’s already there.
One data model
Every OEM in your portfolio, normalized into a single schema your team can reason about.
Fit per pilot
Custom wiring, custom logic, custom dashboards — shaped to the equipment in your panels.