Stop relying on static dashboards or expensive one-off audits. Quentron converts your unutilized factory data into a prioritized, live portfolio of costed energy opportunities.
To make energy efficiency accessible to the 48% of SMEs with low digital maturity by overcoming the barriers of high upfront costs and installation disruption.
While large enterprises have dedicated energy teams, 71% of SMEs lack the in-house expertise to systematically manage energy use.
Quentron replaces expensive, episodic consultancy with a continuous, AI-led solution. A "Minimum Sensor" strategy utilizing Electrical Fingerprinting.
Uses an Agentic architecture to continuously identify, prioritize, and explain opportunities across management, maintenance, and capital projects.
Analyzes motor Power Factor to detect "Idle Time" or compressor "Duty Cycles" to infer leak rates without cutting pipes.
A 24/7 audit scrutinizing asset performance effectively identifying inefficiencies the moment they happen.
Builds business-case-ready recommendations tailored to your budget and risk appetite, rather than just providing raw data.
Forecasts future consumption and alerts you to anomalies before they become costly failures.
Automates data collection for ESOS, SECR, and EED, de-risking compliance and avoiding potential fines.
We ingest your existing half-hourly energy data (MPAN) and production schedules (ERP) to establish baselines. Zero hardware installation.
We aggregate usage at the sub-meter level to identify specific process inefficiencies rather than just site-wide issues.
For critical assets, we install non-intrusive sensors. Edge logic creates "Virtual Sensors" to infer mechanical states like idling or leaks.
The AI Agent runs a "Think→Act→Observe" loop, consulting a knowledge base to issue actionable recommendations.
Commercial Guru
Product definition, user research, and financial feasibility. PhD researcher in Generative AI for SME energy management.
Tech Wizard
System architecture, data ingestion pipelines, and AI agentic framework. Expert in high-volume data infrastructure.
No hardware required for Level 1 analysis.