PULSE-SIGMA
Turn multi-building energy data into trusted decisions, evidence cards and actionable workflows for smarter campus operations.
Semantic onboarding
Model buildings, meters, assets and relationships through a configuration-first approach.
Explainable evidence
Transform anomaly signals into evidence cards with context, confidence and next actions.
Operational workflows
Support facility and energy teams with role-based insights and decision-support dashboards.
From campus energy data to explainable operational decisions.
PULSE-SIGMA is a semantic and explainable decision-support solution designed for smart energy campuses and private grids.
It connects assets, meters, buildings, energy systems and operational events into a coherent digital representation, helping teams understand what is happening, why it matters and which action should be prioritised.
Energy campuses need more than dashboards. They need explainable intelligence.
Buildings, meters, photovoltaic systems, batteries, EV charging points and EMS/BMS data generate large volumes of fragmented information. PULSE-SIGMA helps teams move from isolated alarms and opaque analytics to evidence-based operational decision-making.
Explainable anomaly interpretation
Provide context, severity, confidence and operational relevance behind detected events.
Role-based dashboards
Support facility managers, operators, tenants and technical teams with tailored views.
API-ready integration
Connect to existing energy, BMS, EMS or semantic data services through documented interfaces.
Designed for facility teams, operators and campus energy stakeholders.
PULSE-SIGMA helps reduce the time required to understand anomalies, prioritise operational actions and communicate evidence across teams.
By making AI and semantic outputs explainable, it supports better trust, faster decisions and stronger operational governance.
Make campus energy intelligence explainable and actionable.
PULSE-SIGMA helps energy stakeholders transform complex multi-building data into trusted operational decisions.