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MODULE
PREDICTIVE MAINTENANCE
Know a Compressor Is Failing 14 Days Before It Does
Axiom Cloud uses AI to help users proactively address maintenance issues before equipment fails - so your facilities/maintenance team can spend less time and money responding to critical cooling outage emergencies.
14 days
average advance warning before compressor failure
89%
of compressor failures detected before breakdown
$0
in additional sensors or hardware required
THE PROBLEM
Why Reactive Maintenance Keeps Costing You
Traditional maintenance approaches miss the signals that precede failure — leaving operators exposed to emergency costs, food loss, and compliance risk.
Your Team Has Learned to Ignore the Alarms
Controllers generate reactive threshold alarms every time a value dips out of range — most of which require no action at all. With 72–99% of industrial alarms being false positives,[1] your team adapts rationally: they start filtering them out. Meanwhile, the data that could actually predict a failure is sitting unread in your controllers and getting overwritten in as little as 72 hours. By the time a real signal looks like the noise, it's too late.
By the Time the Alarm Fires, the Damage Is Already Done
Standard monitoring alerts you after a threshold is crossed — which means after the failure is already in motion. The typical grocery store already spends more on refrigeration energy & maintenance each month than it generates in profit.[2] Emergency repairs average $18,000 per incident,[3] a single cooling outage can push a store into the red for the month, and 23% of shoppers will choose a different store the next time they find empty cases.[4] Reactive maintenance doesn't just cost more — it guarantees the failures will keep coming. Predictive maintenance changes the equation entirely.
You Can't Fix Everything. But You Need to Know What Can't Wait.
The HVAC and refrigeration industry is short roughly 110,000 qualified technicians, and more than half the current workforce is over 45.[5] Facilities teams are already losing more than 100 employee hours per store per year to alarm noise and reactive disruptions — before accounting for emergency service costs of $6,000–$13,000 per store annually.[3] Without a clear signal for what's urgent versus what can wait, even well-run teams triage by instinct and miss the equipment quietly heading toward a six-figure breakdown.
[1] Envigilance — Temperature Alarm Fatigue (2026) · [2] FMI — The Food Retailing Industry Speaks: Marketing Costs · [3] Axiom Cloud — Predictive Maintenance · [4] Ipsos Consumer Survey on Grocery Shopping Behavior (cited in Axiom Cloud sales materials, 2026) · [5] SMACNA — Beat the HVAC Technician Shortage (2025)
100%
of appliance covered by “whole-system” Automatic Leak Detection under the EPA Aim Act, CARB, NY RMP, WA, and other state regulations.
0
new sensors or pieces of hardware required - Axiom’s patented method uses data from controllers and compressors already installed at your sites
0
quarterly manual leak inspections required under regulations when Axiom’s “whole system” indirect ALD solution is operating
"Because of predictive insights from Axiom, we decided to perform subcooler maintenance rather than adding thousands of pounds of refrigerant as our maintenance provider recommended. This single event saved us more than the annual costs of Axiom’s apps. Axiom’s AI enables us to more intelligently maintain our refrigeration assets, increase uptime, and save money month after month. We look forward to deploying Axiom’s apps in additional HelloFresh facilities throughout North America."
- Brandon Preston, Vice President of Safety, Maintenance and Reliability Engineering, HelloFresh
HOW IT WORKS
From Millions of Data Streams to the ONE Most Important Action
Axiom doesn't hand you more data to manage. It walks with you from raw signal to resolved work order — every month.
Collect & Surface
Your controllers already generate hundreds of live data streams per site. Today, most of it never leaves the facility — overwritten in as little as 72 hours before anyone looks at it. Axiom connects remotely to your existing controllers, pulls every data stream to the cloud, and cleans, labels, and normalizes it in real time. No new hardware. No site visits. Just the signal that was already there, finally being used to predict failures before they happen.
Diagnose & Prioritize
AI and US-based refrigeration specialists work together to identify the problems and opportunities buried in your data — roughly 100 per month across a 500-store portfolio. Each one is packaged into a predictive anomaly: plain-English description, root cause, exact location in the facility, a data snapshot, step-by-step fix instructions, urgency level, and the financial cost of leaving it unaddressed. Then Axiom triages the full list — filtering out low-priority items, resolving issues remotely where possible, and batching the rest into prioritized service calls. The output: if you only have time and budget for one thing today, here it is.
Resolve & Close the Loop
Most software stops at the work order. Axiom doesn't. Our US-based refrigeration specialists — with 20+ years of experience in the field as refrigeration technicians — support maintenance managers, service managers, and technicians every step of the way. Then Axiom tracks resolution against live data — not technician notes — so you know what was actually fixed, what got a band-aid, and what still needs attention. Every month, outcomes are quantified: service calls avoided, costs saved, equipment lifespan extended. Not a to-do list. Measurable results.
CAPABILITIES
Everything You Need to Get Ahead of Failure
From compressor floodback to condenser fouling, case temperature drift to defrost failure — Axiom's AI detects the signal, a specialist confirms the diagnosis, and your team gets a detailed work order that's ready to act on.
Compressor Health Scoring
Every compressor in your portfolio gets a live health score derived from pressure ratios, discharge temperature, floodback risk, runtime ratios, and other data streams — compared to each unit's own historical baseline — giving you a predictive window into which units are at risk. Scores update continuously, so gradual drift is visible weeks or months before any threshold alarms are triggered. The units most likely to fail next always get priority.
CMMS & Work Order Integration
Push alerts and work orders directly to
ServiceChannel, FieldConnect, Corrigo, or your
existing CMMS. Eliminates manual re-entry and keeps service history in one place.
Condenser Fouling Detection
Fouled condensers drive up head pressure, reduce
efficiency, and accelerate compressor wear. Axiom detects fouling trends and recommends cleaning before efficiency loss compounds.
Failure Probability Scoring
Each at-risk unit receives a probability estimate so you can prioritize PM budget and dispatch order. High-probability units are escalated automatically before scores peak.
AI-Generated Fix Instructions
Each alert includes a plain-language diagnosis and step-by-step fix recommendation — reducing truck rolls, shortening repair time, and ensuring the right tech arrives with the right parts.
Equipment Service History
Every repair, cleaning, and sensor check is logged against each asset — building a service history that informs future diagnostics and supports warranty, insurance, and vendor conversations.
PREDICTIVE DIAGNOSTICS
Catch Degradation While There's Still
Time to Plan
Traditional alarm thresholds are set at the edge of failure — by then, you're
already in reactive mode. Axiom's multi-signal analysis detects the early-stage
patterns that precede failure: gradual suction pressure drift, rising discharge
temperatures, increasing runtime-per-cycle ratios, and subcooling loss.
✓
Continuous multi-signal trend analysis across all compressors
✓
Deviation scoring benchmarked against each unit's own baseline
✓
AI-classified root cause before the first site visit
✓
Failure probability updated in real time as signals evolve
$0
additional hardware
required
89
%
detection rate before
breakdown
14
days
average lead time before
failure
WORK ORDER AUTOMATION
From Alert to Dispatched Tech in Under 2
Minutes
When Axiom flags a unit, a complete work order is ready before you've
finished reading the alert. The AI-generated ticket includes a plain-language
diagnosis, step-by-step fix instructions, a recommended parts list, and
preferred vendor routing — so the first call is the productive one.
✓
Auto-generated work orders pushed to CMMS or contractor inbox
✓
AI-written fix instructions reduce diagnostic time on-site
✓
Parts checklist based on root cause classification
✓
Service history automatically updated on close-out
$18K
average cost avoided per
prevented failure
100
%
of alerts include AI
diagnosis & fix steps
<2
min
from alert to dispatched
work order
LIVE DEMO
Watch How Axiom Works — From 200,000 Data Streams to One Prioritized Service Call
A real walkthrough of how Axiom serves a 500-site grocery portfolio every month — from data collection to prioritized dispatch to validated outcomes.
-
200,000+ live data streams collected from existing controllers — cleaned, labeled, and normalized in real time. Data that was previously overwritten in 72 hours is now a continuous intelligence layer. No new hardware, no site visits.
-
AI and US-based refrigeration specialists surface ~100 predictive anomalies hidden in the data — each packaged with root cause, exact location, financial cost of inaction, and step-by-step fix instructions.
-
Axiom triages: 20–40 low-priority items filtered out, 10–30 issues resolved remotely without a truck roll. The remainder are batched into ~15 prioritized in-person service calls. Your ONE most important action today is always clear.
-
Every outcome validated against live data — not technician notes. Service calls avoided, costs saved, and equipment lifespan extended are quantified and reported at the end of every month.
DOWNLOAD CASE STUDIES
THE DASHBOARD
Every At-Risk Unit, Ranked and Ready to Act On
The PM dashboard surfaces your highest-risk compressors first — with failure
probability, root cause classification, and work order status visible without drilling into
each unit.
Portfolio Risk Ranking
All compressors ranked by failure probability —
highest-risk units always float to the top of the
queue.
Signal Trend Timeline
Multi-signal chart for each at-risk unit shows the
14-day degradation window with annotated key
inflection points.
AI Diagnosis Panel
Plain-language root cause summary and step-by-
step repair recommendation generated before the
first call.
Work Order Status Tracker
From alert → dispatched → in progress → closed,
every work order state is tracked without leaving
the Axiom dashboard.
DEMO
A Story of 10 Service Calls
Real examples of how Axiom helps to reduce the number of service calls each month
"The main driver at Grocery Outlet corporate level has been the predictive maintenance side of things. There is some real potential for cost savings when we catch things before they become bigger" issues.
— Grocery Outlet
THE FULL PLATFORM
Works Alongside Every Axiom Module
Predictive Maintenance is more powerful when combined with Early Leak Detection
and Enterprise Visibility — sharing the same data streams with no additional sensors.
REQUIRED MODULE
Enterprise Visibility
One dashboard for all sites — unlimited historical data, predictive anomalies prioritized to drive results, an AI Insights agent, all integrated with your CMMS.
MODULE
Early Leak Detection
Catch refrigerant leaks days or weeks before they trigger an EPA report — across every site in your portfolio, with exact location and leak rate estimates.
Learn more →
MODULE
Energy Efficiency
Identify and quantify energy waste at the equipment level across all sites. Prioritize capital improvements and maintenance actions by projected dollar savings.
Learn more →
See Predictive Maintenance on Your Data
We'll show you how Axiom would look across your specific portfolio — using a live walkthrough with your site count and equipment profile. Just send us a message.
No commitment. Most demos are 30 minutes and include a live look at your specific portfolio structure.