Exertic clamps non-invasive sensors onto your heat exchangers and steam traps, then uses AI to detect fouling and failures the moment they begin — before the bill arrives.
of all industrial energy losses come from heat exchanger fouling and steam trap failure.
of steam traps are leaking at any given moment without proactive monitoring.
in annual heat losses across global industry from exchanger fouling.
Fouled exchangers reduce throughput and force unplanned downtime windows you can't recover.
Schedule-based servicing costs 3–5× more than condition-based intervention.
A single 5 MW exchanger at 20% fouling burns through €480k of fuel per year.
Every kilowatt of waste heat translates directly to unnecessary scope-1 emissions.
Non-invasive temperature sensors attach to inlet and outlet pipes in minutes. No process shutdown. No pipe cutting.
LoRaWAN to cellular gateway. Zero IT integration, zero firewall exceptions. Gateway runs on cellular.
Continuous anomaly detection across LMTD, effectiveness, approach temperature, and trap delta-T.
Findings route to your CMMS with severity, baseline, and projected ROI of intervention.
Attach in under 5 minutes per asset. No shutdown, no pipe penetration, no compliance review.
LoRaWAN to a single LPS8v2 covers the plant. Cellular backhaul means zero firewall exceptions.
LMTD, effectiveness, and approach temp tracked against rolling baselines — anomalies flagged at source.
BigQuery time-series with full audit trail. Export, integrate, or pipe into your existing analytics stack.
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Agentic AI takes alerts through SLA review, CMMS ticketing, service coordination, and ROI accounting — so your engineers stay focused on engineering work.
Effectiveness drift detected on HX-04 against 30-day baseline.
AI cross-references operating envelope, last clean date, and SLA terms.
Work order opens in your CMMS with severity, evidence and projected ROI.
Service complete. Baseline restored. Savings calculated and logged.