SecMind Energy — AI Agent for Energy Operations and Critical Infrastructure
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SecMind Energy · AI Agent · Energy Operations

Your energy network,
operating smarter

SecMind Energy is the AI agent that detects anomalies, responds to operational queries, and generates reports on your assets in real time, connected to the systems you already have — SCADA, historians, IoT, EMS/DMS. No SQL. No dashboards no one reads.

Reduce anomaly detection time to under 15 minutes
Shift reports automatically generated at handover
Seamless integration: SCADA, PI System, EMS/DMS, OPC-UA, and MQTT
On-premise deployment — your data never leaves your infrastructure
SecMind

SecMind Energy · Energy network

Active agent · Real time

Online · SCADA + PI System connected
From complex to conversational

Data in 3 steps

1

Ask

The operator or engineer writes their query in natural language, as if speaking with a shift colleague. No technical training or SQL required.

2

Understands and executes

SecMind Energy interprets the message and queries your systems in real time: SCADA, historians, IoT, and databases. It cross-references data and detects patterns.

3

Responds and acts

Delivers the response, triggers the alert through the right channel, or generates the shift report with the full operational context the team needs.

The problem

The data is there.
The time to analyze it isn't.

Electrical grids generate thousands of data points per hour — voltages, currents, alarms, power flows, renewable performance. But operational teams cannot process that volume at the pace the grid demands. Anomalies go unnoticed, alarms are ignored, and decisions are made without full context.

40–60%
of alarms in industrial energy environments are false positives or repetitive noise, overloading on-call teams and reducing their ability to respond to real incidents.Source: ISA-18.2 Management of Alarm Systems and EEMUA Publication 191

Data silos between OT and IT systems

SCADA, EMS, DMS, historians, and SQL databases coexist without a single point of synthesis. The information exists, but it is fragmented, scattered, and delayed for decision-makers.

Alarm fatigue in on-call teams

Without intelligent prioritization, the operator cannot distinguish what is urgent from what is noise until an incident is already active. Background noise erodes response capacity.

Renewables and DER add unpredictable variability

Solar, wind, and storage create patterns that static thresholds fail to capture. Operations need adaptive intelligence, not more dashboards with more data.

Manual reports that arrive when they're no longer useful

Shift reports are written manually hours after events. The reaction window closes before the context reaches those who need it.

Use cases

What SecMind Energy does for your network

A specialized agent for energy operations that monitors, detects, and responds without manual intervention. Backed by real experience in energy OT projects such as Smart Metering and Tenerife Gaitero.

<15min
Anomaly detection
Early detection in substations
Analyzes voltage, current, and temperature patterns in real time to identify deviations in transformers and equipment before they trigger protections or cause outages.
Continuous analysis

Projection based on Secmotic team pilot projects

−60%
Noise reduction
Intelligent alarm prioritization
Correlates and prioritizes alarms using historical context. The operator sees what matters now, not a list of 300 events with no context or operational hierarchy.
Alarm management

Projection based on Secmotic team pilot projects

24/7
Availability
Natural language queries
The engineer asks in natural language and receives answers with up-to-date data: asset status, incident history, site performance. No SQL or intermediary analysts.
No SQL
Auto
Automatic generation
Automatic shift reports
Generated at the end of each shift: generation, consumption, active incidents, asset status, and pending actions. Ready at handover, with no manual writing required.
Automated reporting
Instant.
Direct notification
Alerts via Teams, email, and SMS
When an anomaly is detected, SecMind Energy notifies the on-call team through their preferred channel, with operational context included — not just the value that exceeded a static threshold.
Omnichannel
PR+
Performance ratio
Renewable asset monitoring
Monitors performance ratio, generation curves, and deviations in solar, wind, and storage assets. Detects degradation before it impacts contracted production.
Asset performance
How it works

Connected to your systems.
Active from day one.

01

Connection to your data sources

SecMind Energy connects to your existing systems: SCADA, PI System, EMS/DMS, SQL databases, OPC-UA, MQTT, and OT/IT APIs. No migrations, no construction work, and no replacing what already works.

02

Agent configuration by asset

We configure the agent with the context of your operation: critical assets, internal naming conventions, specific thresholds, and escalation flows. The agent learns the language of your network, not the other way around.

03

Validation with your technical team

Adjustment session with real operators and engineers. Detections are validated, prioritization is refined, and the automatic reports for the first operational sprint are defined.

04

Pilot, validation, and go-live

The agent enters pilot mode on your real data in 4–6 weeks. After operational validation with your team, production go-live is reached in 6–10 weeks from the start of the project.

1

On-call engineer asks

"Are there any active anomalies in substations in the northern area this morning?"

2

SecMind Energy queries real-time data

It directly accesses SCADA / PI System / SQL and analyzes voltages, currents, temperatures, and historical patterns from assets in the northern area.

3

Responds with context and recommendation

"Active anomaly for 38 minutes in SE-North, transformer T-2. +12% overvoltage on secondary. Temperature trending upward. I recommend preventive inspection before the midday peak."

4

Notifies and generates documentation

Teams alert to the shift manager with location and context. Automatically logs the incident for the on-call report and traceability.

Integrations

Compatible with what you already have installed

SecMind Energy does not require data migration or platform changes. It connects to your current systems in weeks, not months.

SCADA · Ignition · Wonderware
Industrial control
PI System / OSIsoft · AVEVA
Data historian
EMS / DMS · GE · Siemens · ABB
Energy management
SQL Server · PostgreSQL · Oracle
Relational database
OPC-UA · Modbus · MQTT
OT protocols
Microsoft Teams · Email · SMS
Notifications
OMIE · ENTSO-E · REE DataHub
Electricity market
IEC 61850 · DNP3
Coming soon

Don't see your system? Most structured OT/IT data sources can be integrated. Ask us during the technical demo.

Available
Coming soon
Who it's for

Designed for those who
operate critical infrastructure

Three profiles, three needs. One agent that solves them all.

CIO / IT Lead · Digitalization

Operational AI with no integration risk

  • Connects to SCADA, PI System, EMS, and SQL without migrating data or replacing systems
  • On-premise deployment — operational data stays within your perimeter
  • Architecture compatible with Azure, AWS, and segmented OT environments
  • Full traceability of every query, alert, and generated report
Operations / Innovation Director

Use case validated in weeks

  • Technical pilot on your data in 4–6 weeks; production go-live in 6–10 weeks
  • ROI estimable from the first sprints: reduction in incidents and manual operational hours
  • Anomaly detection and alarm prioritization from the first sprint
  • Scalable to multiple plants, sites, or assets without redesign
Plant / Maintenance Manager

Less noise, more time to act

  • Natural language queries about asset status, with no SQL or analysts
  • Alerts with full context: what happened, how long it has been happening, and what is recommended
  • Automatic shift reports ready at handover
  • Real reduction of alarm fatigue in the control room
A Secmotic product

Backed by experience in applied AI

SecMind Energy is a product developed by Secmotic, a company with proven experience in artificial intelligence, OT/IT networks, IoT, and data analytics for critical infrastructure sectors. We do not sell adapted generic technology: we build on real energy operations.

On-premise or private cloud deployment. Operational data does not leave your infrastructure. Full control over which sources the agent connects to and which actions it can execute.

AI
Artificial intelligence applied to real energy operations
OT
Designed for operational technology environments with segmented networks
Data
Real-time data analytics and management across your sources
B2B
For utilities, distributors, generators, and asset operators
No commitment

Try it on your real data

Schedule a technical demo and we will connect SecMind Energy to data from your type of infrastructure to show you live how it detects anomalies and responds to queries about your energy network.

Demo using real data from your sector

We use sources from your type of infrastructure so the demo is operationally relevant from the very first minute.

Compatibility assessment with your systems

We analyze your current OT/IT stack and show you exactly how SecMind Energy would integrate into your environment.

100% confidential, no-pressure process

Your data and infrastructure remain within the evaluation process. No commitment required.

Response in less than 24 hours

A Secmotic engineer will coordinate the demo at the time that best suits you.

Request a technical demo

Tell us about your infrastructure and we'll show you how SecMind Energy fits into it.

No commitment · Response within 24h · Your data is secure

Request received!

Our team will contact you in less than 24 hours to schedule the technical demo.

Your data is already ready.
The agent is too.

Request a technical demo and discover what SecMind Energy can detect in your energy network from day one of operation.

No commitment · 24h response · 100% private data · A product by Secmotic Innovation S.L.