Helios is the energy management solution running on Lascaris.
Renewable generation gets curtailed while AI compute demand surges. Helios moves the megawatt that would have been wasted into useful work, scheduling AI and analytics to follow clean power and price while latency-critical jobs stay pinned to their contracts. It runs on Lascaris, on your own infrastructure, and writes every dispatch decision to an audit trail a regulator or PPA counterparty can reconstruct.
Compute follows the megawatt
Renewable output that would be curtailed becomes useful work. Helios schedules deferrable AI and analytics to run when clean power is available, and pins latency-critical jobs so service commitments hold.
Operations stay in place
Analyze SCADA, historians, and field telemetry where they live through federated execution, so operational data never leaves your boundary and you skip the brittle pipelines.
Accountable and sovereign
Every decision is a provenance write, aligned to NIS2 and CER reporting. The core is open and Apache 2.0, runs on-premise or air-gapped, with no closed platform under foreign jurisdiction between you and your grid.
Energy control plane
Compute follows the megawatt
Helios aligns flexible workloads with clean power and grid signals, on the record.
Signals in
Market price
Carbon intensity
Renewable availability
Workload queue
Helios
on Lascaris
Sense
Decide
Act
> PLAN d-4471 > optimizer:wayang > horizon:24h SOLVING
Provenance written
Dispatch out
Run on clean power
Latency-critical pinned
Audit-ready record
Energy & Utilities Use Cases
Focus your team on what matters most – reliable, AI-driven grid and plant operations instead of maintaining fragile data pipelines and one-off integrations.
Multi-Cloud Unification
Run analytics and AI across AWS, Azure, Google Cloud, and on-prem systems without duplicating data or rewriting pipelines, so your fragmented stack behaves like one logical energy platform.
OT–IT Data Fusion
Blend SCADA, historians, and enterprise systems with federated processing so operators, engineers, and analysts share one trusted operational view without exposing critical OT assets to the open internet.
High-Cost Pipeline Reduction
Replace brittle ETL chains and over-engineered data moves by pushing execution to where data already lives, reducing egress charges, storage duplication, and ongoing pipeline maintenance.
Distributed Sensor Intelligence
Analyze high-volume sensor and telemetry streams from plants, substations, and field assets in place to detect anomalies in seconds, not hours, without building new central silos.
Energy Trading Insights
Execute forecasting, pricing, and risk models across distributed trading, generation, and market data while keeping proprietary signals and positions confined to your existing trading and risk systems.
Cross-Platform Analytics
Use the federated execution engine your team originally built as Apache Wayang to run one job across Spark, Flink, SQL engines, and in-house systems—solving tool fragmentation without vendor lock-in.
Real Results from Real Energy Environments
Learn how global operators apply distributed execution across SCADA, historians, cloud lakes, and edge devicesachieving measurable ROI while keeping sensitive operational data exactly where it belongs.
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.
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).
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.
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.
