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Xfactr.ai

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Energy Analytics Solutions

See every fault before it
becomes downtime.

Real-time energy monitoring at the panel AI fault detection equipment health

scoring Predictive maintenance demand forecasting

Talk to Our Team

Three views

Panel view. Analytics. Alerts.

Panel Map • Live
Panel A • 24 breakers
21 OK
B1-01
94%
B1-02
91%
B1-03
74% !
B1-04
98%
B1-05
89%
B1-06
96%
B2-07
36% ⚠️
B2-08
92%
B2-09
87%
B2-10
93%
B2-11
68% !
B2-12
95%
Healthy Warning Fault
UPS-01
94% SoH 248d RUL
UPS-02
68% SoH 82d RUL !
✦ AI: 1 breaker needs attention this week
Trend Analytics • 30-day
Power load vs cooling efficiency
Power load CRAC eff.
⚠️
✦ AI Insight: Cooling efficiency declining
1.4%/week as load grows. Filter service recommended within 14 days.
Demand spike forecast: Thu 14:00-16:00 • +18 kW
Alert Timeline • Today
4 events today • 1 open • 3 resolved
🛑
09:42 Breaker B3-07
Trip count threshold exceeded • CRITICAL • OPEN
In progress
⚠️
07:18 CRAC-01 ΔT
Efficiency drift detected • WARN
✔ Resolved MTTR 22 min
ℹ️
06:05 PDU-03
Load imbalance phase 2 • INFO
✔ Resolved MTTR 8 min
⭕
02:31 UPS-02 Battery
RUL < 90 days • WARN
Maint. scheduled
Avg MTTD today: 4 min
Avg MTTR: 18 min

Core capabilities

Four capabilities. One monitoring platform.

Real-Time Panel Visibility

Live data from breakers, meters, and sensors aggregated via Edge Gateway. Health scores, load, and status updated continuously – no manual polling, no blind spots between scans.

Live health scores Load per breaker Panel map view

AI Fault Detection & Health Scoring

ONNX ML models running locally catch subtle drift – cooling efficiency loss, trip count trends, battery degradation – before threshold rules would fire. Every device gets a continuous health score, not a binary alarm.

ONNX edge models Health 0-100 Drift detection

Prioritised Alerts & MTTD/MTTR

Alerts classified by severity with full context – site, zone, device, symptom, suggested action. No alert storms. Incidents tracked from detection through resolution, generating the MTTD and MTTR metrics leaders actually need.

Severity routing MTTD • MTTR Hysteresis gating

Demand Forecasting & Optimisation

Edge AI forecasts demand spikes hours ahead – triggering pre-cool schedules, non-critical load shedding within policy guardrails, and compressor staging recommendations. Lower peaks, lower bills, calmer operations.

Demand forecast Load shifting PUE optimisation

What we connect to.

Every device class a datacenter runs.

Power & UPS
UPS (SNMP MIB)Battery RUL analyticsPDU branch meteringTransfer switch status
Cooling
CRAC units (BACnet)CRAH (Modbus)Cooling tower (OPC-UA)ΔT analyticsCompressor staging
Electrical
Circuit breakersPower meters (IEC 61850)Energy sub-metersSwitchgear
Protocols
Modbus RTU/TCPBACnet/IPSNMP v2c/v3OPC-UAMQTTIEC 61850
AI / Edge
ONNX ML inferenceRules engineAnomaly detectionDemand forecastingRUL estimation

Vertical deployments

↓ MTTD

Mean time to detect surface faults earlier with AI drift detection, not just threshold alarms

ONNX ML · rules engine · severity classify · instant alert routing

0 gaps

Cloud history stays complete after any WAN outage store-and-forward with idempotent replay

Local TS buffer · sequence IDs · automatic backfill on reconnect

72+

Device types monitored breakers, UPS, CRAC, PDUs, meters, sensors across multi-vendor sites

Modbus · BACnet · SNMP · OPC-UA · OEM adapter plugins

Edge-first

All monitoring, fault detection, and alerting runs locally no cloud round-trip for any operational decision

OCI containers · x86 · ARM · Kubernetes · fanless IPC

Where these capabilities apply

Edge-to-Cloud AI across our platforms and services.

Platform
Edge Foundry
Buildings, datacenter, grid, cloud and security the complete edge platform.
→ edge-foundry
Service
IoT Application Development
End-to-end IoT applications across edge devices, protocols, software and cloud platforms.
→ iot-application-development
Service
AI Applications
Predictive analytics, computer vision and intelligent AI solutions built on edge telemetry.
→ ai-applications
Service
Data & Analytics
Cloud-native data platform that makes edge telemetry searchable, actionable and scalable.
→ data-analytics
Service
AIOps
AI-driven monitoring and anomaly detection from edge signals to cloud incident resolution.
→ aiops
Service
DevOps & MLOps
Firmware pipelines, CI/CD automation, model lifecycle management and deployment.
→ devops-mlops
Capability
AI Agentic AI
Agent and LLM architecture that acts autonomously on edge telemetry and enterprise workflows.
→ ai-agentic-ai
Service
Smart Enterprise Solutions
Enterprise-grade AI solutions connecting edge, cloud and business applications seamlessly.
→ smart-enterprise-solutions

Connect With us

See every fault before it becomes downtime.

Tell us your device inventory, site count, and current monitoring gaps.
We’ll show you what visibility actually looks like.

Book a Call