Energy & Utilities

Energy & Utilities

Engineering highly secure, real-time grid monitoring and predictive maintenance platforms for critical energy infrastructure.

The transition to decentralized grids and renewable energy requires massive data aggregation, edge computing and uncompromising security.
SAIDI/SAIFI (Reliability Indices)
Asset Uptime
Maintenance Cost Reduction

Business Overview

The transition to decentralized grids and renewable energy requires massive data aggregation, edge computing and uncompromising security.

We engineer robust IoT data pipelines and SCADA integrations that provide real-time visibility into grid health and automate load balancing.

Energy infrastructure is highly regulated, geographically dispersed and reliant on legacy OT (Operational Technology) that was never designed for the internet.

Engineering for utilities requires bridging these vulnerable OT networks to secure cloud analytics without exposing the grid to cyber threats.

Industry Challenges (Business, Operational & Tech)

Grid Modernization

Integrating fluctuating renewable energy sources into legacy grid infrastructure.

Equipment Lifespan

Managing aging transformers and substations that lack modern diagnostic telemetry.

Cybersecurity Threats

Protecting critical national infrastructure from increasingly sophisticated cyber-attacks.

Remote Asset Monitoring

Collecting reliable telemetry from pipelines and substations in areas with poor cellular coverage.

OT/IT Convergence

Safely extracting data from isolated SCADA networks to cloud data lakes.

High-Frequency Time-Series Data

Ingesting and analyzing millions of data points per second from smart meters (AMI).

Zero-Trust Architecture

Implementing cryptographic security at the edge device level.

KryoNex System Solutions & Use Cases

Predictive Substation Maintenance

Deploying edge AI models to analyze transformer vibrations and predict failures.

Smart Meter Data Ingestion

Architecting highly scalable event streams to process real-time AMI consumption data.

Secure OT Data Extraction

Implementing hardware data diodes and secure gateways to safely mirror SCADA data to the cloud.

Core Technologies & Platforms

Apache Kafka

InfluxDB

AWS IoT Core

Kubernetes Edge

Terraform

Expected Business & System Outcomes

SAIDI/SAIFI (Reliability Indices)
Asset Uptime
Maintenance Cost Reduction
Energy Yield
Telemetry Ingestion Latency
Edge Node Uptime
Data Storage Compression Ratio

Technical Implementation Guidelines

Consideration 1

Security is paramount: OT networks must never accept inbound connections from the IT network or cloud.

Consideration 2

Time-series databases (like InfluxDB or Timescale) are mandatory for handling the volume of sensor telemetry.

System Specifications & Compliance

Enterprise Environment

Operations are governed by isolated SCADA systems communicating over legacy radio or serial networks., IT networks run SAP or Oracle ERPs, completely segregated from the OT environment by rigid firewalls and data diodes.

Required Integrations

SCADA, AMI (Advanced Metering Infrastructure), ERP, GIS, EAM (Enterprise Asset Management)

Regulations & Governance

NERC CIP (Critical Infrastructure Protection), ISO 27001

Standards & Protocols

DNP3, IEC 61850, Modbus, OPC UA, MQTT

FAQ

How do you secure OT networks while extracting data?

We utilize strict Purdue Model architectures, employing data diodes or secure MQTT brokers to ensure data only flows outbound from the OT network.

Recommended Services

Recommended Solutions

Platform Capabilities

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