Fault Detection & Diagnostics

AI-driven FDD that catches faults before they become failures

The intelligence layer that turns commercial HVAC from a reactive emergency expense into a controlled, scheduled, predictable cost.

The Problem

Commercial HVAC defaults to reactive crisis management

At scale, facility teams lack real-time visibility into mechanical performance. Without continuous telemetry, units run to failure — driving energy waste, tenant complaints, and expensive emergency service calls.

The Surface Perspective
Storefront, business as usual
The Roof Reality
Rooftop units silently failing
The Foundation

Proprietary DLC hardware

Since 2012, SES has deployed proprietary Demand Limiting Controllers (DLCs) as a centralized energy management system. The DLC aggregates real-time telemetry from sensors, thermostats, and zones into a single unified monitoring dashboard.

This installed base — across 1,100+ locations and five verticals — is what makes everything above it possible. It is the data foundation no competitor can replicate.

DLC data-flow diagram
FROM HARDWARE TO INTELLIGENCE

From data you already have to faults you can't yet see

The DLC already aggregates every unit’s telemetry. FDD is the intelligence layer that sits on top of that same foundation. It turns the data you’re already collecting into early fault detection, with no extra system to install on top of it.

The Paradigm Shift

From manual monitoring to augmented AI

The legacy process was human-driven: an account manager watched live feeds, waited for a visible variance to trigger an alert, then manually investigated and built a work order. Reactive by design.

SES replaces that with automated Fault Detection & Diagnostics (FDD). The AI layer synthesizes multiple environmental and historical variables the moment a unit starts — catching degradation instantly, on every run cycle.

Manual checks vs. automated Fault Detection & Diagnostics

Manual Monitoring
SES — Automated FDD

Trigger event

Visible macro temperature variance (>2°)

Microscopic performance dips detected at unit startup

Context used

The current dashboard moment

Weather, historical baselines & peer-unit comparison

Reaction speed

Reactionary — only when noticed

Instant — evaluates every run cycle

Ultimate result

Faster reactive repair

True predictive cost avoidance
How the AI Thinks

Surface data is deceptive

A zone might feel perfectly cool — tricking operators into thinking a unit is healthy. The AI ignores surface comfort and analyzes hidden mechanical output to find failing compressors before they break.

Anatomy of an anomaly

Despite mild outside air and a “satisfied” zone, the AI flagged Unit 3. Over 20 minutes of cooling, the supply temperature barely dropped  an insufficient delta of only 1–2°.

The AI identified a failing AC compressor hidden behind a perfectly normal room temperature  months before a human, or the building occupants, would ever have noticed.

The Value Driver

Predictive cost avoidance

Catching a high-probability fault in March prevents an emergency service failure in July. SES transforms HVAC maintenance from an emergency expense into a controlled, scheduled process.

The Complete Stack

The complete SES value stack

By combining robust hardware engineering with predictive telemetry, SES fundamentally changes the unit economics of commercial real estate portfolios — reducing baseline energy consumption while eliminating catastrophic maintenance costs.

Augmented Multi-Agent AI

Fault Detection & Diagnostics (FDD) + predictive cost avoidance

Demand Control System

Immediate ~30% energy reduction

Proprietary DLC Hardware

Physical connection & data aggregation

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With SES Fault Detection & Diagnostics, failing units are caught months before they break – so repairs are planned, not urgent. Stop reacting. Start predicting.