Compute follows the megawatt.

Helios is the energy management solution running on Lascaris.
Sovereign energy management

Helios is a sovereign energy management system for sites where power is a major cost and compute is a major load. A swarm of agents on Lascaris forecasts demand, price, and generation from your own SCADA and telemetry, then dispatches every flexible asset and workload to cut cost and carbon. It runs on your own infrastructure, and every decision is on the record, the proof you need for a grid operator, a regulator, or a PPA counterparty.

Shave the peak that sets your price

Industrial sites pay for their single highest interval, not just the energy they use. Helios forecasts where that peak will land and shifts load, storage, and generation to cap it, the lever behind demand-charge savings and reduced grid fees.

Make compute a flexible grid asset

Deferrable AI and analytics move to clean, low-cost power while latency-critical jobs stay pinned. Where you run dispatchable generation and storage, Helios switches assets to follow compute demand, ad-hoc or pre-booked, so a data center becomes demand-flexible instead of a fixed draw that wastes curtailed renewables.

Accountable and sovereign

SCADA, historians, and telemetry are analyzed where they live through federated execution, so operational data never leaves your boundary. Every decision is a provenance write aligned to NIS2 and CER, on a core that is open, Apache 2.0, and runs on-premise or air-gapped.

Energy control plane

Forecast the peak. Shave the cost.

Helios forecasts demand and price on your own data, then dispatches storage, generation, and flexible loads to flatten the peak that sets your bill, on the record.

Signals in
Load forecast
Price and tariff windows
Generation and storage
Flexible loads

Helios

on Lascaris
Sense
Decide
Act
> PLAN d-4471
> optimizer:wayang
> peak-shave SOLVING
Provenance written
Dispatch out
Peak capped
Critical loads protected
Audit-ready record

Energy and Utilities Use Cases

What your teams run on Lascaris across the energy estate: forecast demand and price, fuse OT and IT, spot anomalies, and defend critical infrastructure, all on your own data and on the record.

Demand and Peak Management

Forecast load and price, predict where the costly peak will land, and dispatch storage, generation, and flexible loads to cap it. This is the lever behind demand-charge savings and reduced grid fees, with the audit trail to prove the peak was held.

Compute as a Flexible Load

Treat AI and analytics as a controllable load. Deferrable jobs shift to clean, low-cost power, and where Helios is integrated with dispatchable assets, it switches them to follow compute demand, so a data center helps stabilize the grid instead of straining it.

OT and IT Data Fusion

Fuse SCADA, historians, and enterprise systems through federated execution so operators and analysts share one trusted view. Critical OT assets are never exposed to the open internet, and no data is copied into a new platform.

Grid and Plant Anomaly Detection

Run a swarm of agents on high-volume sensor and telemetry streams from plants, substations, and field assets, analyzed in place. Anomalies surface in seconds, and every alert is traceable back to the source signal.

Trading and Market Forecasting

Run forecasting, pricing, and risk models across distributed generation, market, and position data. Proprietary signals and positions stay confined to your own trading and risk systems.

Critical Infrastructure Protection

Monitor and defend networks and operational technology under NIS2 and CER, detect threats early, and act with a full immutable audit trail. It runs on-premise or air-gapped on a core that is open and Apache 2.0.

Energy Demand Management

Federated AI for utilities: run grid analytics directly on SCADA and IoT data. No data movement, full control, faster decisions.
Energy Demand Management
Read more

Industrial Energy Management

AI energy management for industrial sites. Forecast demand and price, shave the peak that sets your bill, and prove it, on your own infrastructure.
Industrial Energy Management
Read more

Why Centralized Data Platforms Fail in Energy

Traditional data-centralization strategies break down in modern energy grids. You cannot keep piping high-frequency vibration data from a wind turbine in the North Sea to a distant cloud region just to detect a bearing fault.

Scalytics addresses the latency and bandwidth constraints by bringing the query to the data and executing analytics and AI directly where your operational data is produced.

Read: How Federated Learning solves the privacy paradox →

Powered by Apache Wayang

Our platform builds on Apache Wayang, the cross-platform data processing system our team originally created before it became an Apache Top-Level Project. It acts as a universal translator between your OT protocols (Modbus, SCADA) and IT standards (SQL, Python).

Deep Dive: Apache Wayang Architecture →

Ready to put your megawatts to work?

Stop moving data. Start moving intelligence. Talk to our team about how Helios and Lascaris run on your own infrastructure, follow clean power, and keep every decision on the record.

Talk to our team

About Scalytics

Scalytics architects mission-critical streaming, federated execution, and sovereign AI systems. We help defense, infrastructure, and regulated organizations turn real-time data streams into trusted decisions reliably and under production load.
Our founding team created Apache Wayang, the federated execution framework that lets computation run where the data lives and dramatically reduces unnecessary data movement.
We also built and maintain kafSCALE, a high-performance, Kafka-compatible streaming platform designed for Kubernetes and object storage. It delivers elastic scale without broker complexity or lock-in.

Our mission: Keep data in place. Bring compute to the data. Enable secure, sovereign, and production-ready AI operations.

The experts in mission-critical data and AI.

Bring us your hardest problem. We'll scope it with you.