The energy transition is accelerating and so is the data complexity that comes with it. Kalp Corporate builds the IoT monitoring platforms, AI demand forecasting systems, and ESG reporting tools that give energy operators and utilities the intelligence to optimise assets, cut emissions, and meet the regulatory demands of a decarbonising grid.
From IoT platforms that monitor every watt across a distributed renewable portfolio to ESG systems that turn metered data into regulator-ready reports, we build the energy intelligence stack operators actually need.
Discuss Your Energy Roadmap →Real-time grid event detection, load flow analytics, power quality monitoring, outage prediction, and distribution network intelligence — turning raw SCADA and AMI data into operational decisions that prevent failures before they cascade.
Sub-hourly energy demand and renewable generation forecasting using weather data, historical consumption, economic signals, and satellite solar irradiance — enabling optimised dispatch scheduling, procurement decisions, and storage charging strategies.
Solar, wind, and battery storage monitoring platforms with real-time generation tracking, performance ratio analysis, inverter fault detection, curtailment analytics, and grid export optimisation — for individual assets to utility-scale portfolios spanning multiple sites.
Automated Scope 1, 2, and 3 emissions data collection, calculation, and reporting aligned with GRI, TCFD, and CDP frameworks — replacing manual spreadsheet processes with auditable, regulator-ready ESG reporting at the cadence investors and compliance teams require.
IoT sensor data ingestion from transformers, turbines, cables, and substation equipment — feeding anomaly detection and remaining useful life models that identify degradation weeks before failure and schedule maintenance in planned outage windows.
Smart meter data portals, energy usage dashboards, bill management, time-of-use tariff optimisation, EV charging scheduling, and demand response programme management — for utilities building the digital customer relationship that the next generation of energy customers expects.
Energy systems are safety-critical and continuously operational. Our delivery methodology accounts for OT network constraints, regulatory requirements, and the need for zero-downtime deployment from the first engagement.
SCADA and historian assessment, sensor coverage review, IT/OT network architecture mapping, regulatory requirement analysis, and data quality evaluation — building the complete integration picture before any system touches live infrastructure.
IT/OT segmentation design, OPC-UA and historian connection architecture, IEC 62443 security framework application, data pipeline design for high-frequency time-series ingestion, and the unified energy data model that connects every asset and meter.
Platform development, AI model training on historical generation and consumption data, anomaly detection validation against known failure events, ESG calculation engine build with framework alignment, and security penetration testing before any production connectivity.
Asset-by-asset or substation-by-substation deployment, model retraining as new operational data accumulates, alerting threshold refinement with operations teams, and ongoing performance reporting for asset managers and executive leadership.
Energy systems carry safety and regulatory obligations that most software companies have never worked under. We have deployed across utilities, renewable operators, and grid operators — we understand both the technology and the constraints.
OPC-UA, Modbus TCP/RTU, IEC 61850, DNP3, and MQTT-based data ingestion from SCADA systems, RTUs, smart meters, and energy management systems — with historian connections to OSIsoft PI, Ignition, and GE Proficy.
LSTM, Temporal Fusion Transformer, and ensemble forecasting models for demand prediction, solar and wind generation forecasting, and load profile disaggregation — operating at sub-hourly intervals with uncertainty quantification for grid operators.
IT/OT network segmentation, unidirectional data diode implementation, IEC 62443 security framework compliance, encrypted historian bridges, and OT-specific vulnerability assessment — protecting critical national infrastructure without restricting operational function.
Scope 1, 2, and 3 emissions calculation pipelines using DEFRA, EPA, and GHG Protocol emission factors, automatic data collection from metering systems, and report generation aligned with GRI Standards, TCFD, CDP, and SECR frameworks.
Algorithmic dispatch optimisation for battery storage, demand response scheduling, intraday trading signal generation, and capacity market position management — maximising revenue from flexible assets while maintaining grid stability obligations.
High-throughput time-series data warehousing on InfluxDB and TimescaleDB, asset performance management analytics, portfolio-level generation and consumption dashboards, and the unified data layer that feeds every AI model and reporting system.
Every technology chosen for deterministic time-series performance, OT protocol compatibility, and the security and compliance standards that energy critical infrastructure demands.
Book a free 60-minute energy technology consultation. We will assess your current OT landscape, identify your highest-value AI and analytics opportunities, and propose a deployment roadmap — no obligation to proceed.
Cloud infrastructure without security architecture is a liability. We embed security into every layer — from IAM policies and network segmentation to runtime threat detection.
The infrastructure that runs your custom software — scalable cloud architecture, CI/CD pipelines, auto-scaling, and 24/7 monitoring to keep your systems fast, available, and cost-efficient.
AI is only as good as the data feeding it. We build the pipelines, warehouses, and governance frameworks your ML models depend on for reliable, consistent performance.