Orion Grid Technologies offers a modular, AI‑enhanced software platform that ingests a distribution system operator’s existing grid data—smart‑meter readings, cabin measurements, and connectivity records—and turns it into actionable analytics for planning, operation, and investment. Its configurable modules (e.g., FeederForge, Lorenzini, Piri, Pythia, Kompas) deliver load profiling, imbalance detection, congestion forecasting, and long‑term reinforcement scenarios, all integrated with the DSO’s data formats, terminology, and regulatory context.
Funding
Funding not disclosed
Founders
Product
Problem
Low‑voltage distribution grids are increasingly stressed by the rapid adoption of solar panels, heat pumps, electric‑vehicle charging, and home batteries. Distribution System Operators (DSOs) lack integrated tools to transform heterogeneous grid data into clear, actionable insights for planning, operation, and investment.
Solution
Orion Grid Technologies provides a suite of configurable, AI‑enhanced software modules that ingest a DSO’s existing data sources—smart‑meter readings, MV/LV cabin measurements, and connectivity records—and convert them into detailed visibility and decision‑support outputs. Each module is tailored to the operator’s data formats, terminology, asset models, and regulatory context, enabling rapid integration without extensive data re‑engineering. The platform delivers analytics such as asset‑level load profiling, imbalance detection, day‑ahead congestion forecasting, and long‑term reinforcement scenario planning. Results are presented through intuitive dashboards and can be exported to existing DSO workflows, supporting more efficient grid management and investment planning.
Target Audience
Primary customers are distribution system operators and their planning, operation, and asset‑management divisions that need data‑driven tools to monitor and optimize low‑voltage networks.
Features
- FeederForge: processes smart‑meter data to identify and characterize distributed PV, EV, heat‑pump, and battery installations and their behavior.
- Lorenzini: extracts and normalizes MV/LV cabin measurement data for enhanced asset monitoring.
- Piri: cleans and completes grid connectivity information, automatically detecting large imbalances and data gaps.
- Pythia: provides day‑ahead congestion forecasts and low‑voltage flexibility control using AI‑driven models.
- Kompas: generates long‑term impact scenarios to pinpoint where network reinforcements will be required.
- Modular library of power‑system and AI building blocks that can be configured to match any DSO’s data formats, terminology, policies, and local regulations.
- Integration‑first design allowing seamless incorporation into existing DSO IT environments and workflows.