Our Intelligence Engine
Built to see what is coming.
Not report what happened.

Veltora's predictive intelligence layer runs continuously across the entire data centre lifecycle — from construction and supply chain through to cooling, power, and operations. Our models learn the specific patterns of your facility and surface risks before they reach your infrastructure.

Supply Chain Cooling Intelligence Digital Twin Power Intelligence
Signal Detection Feed
SC · 08 Supply anomaly detected --:--:--
CI · 01 Thermal drift — zone 4 --:--:--
DT · 02 Model confidence update --:--:--
01
Multi-Horizon Forecasting

Every decision has a time horizon.

7-Day Operational
Immediate Threat Detection

Real-time operational alerts surface emerging risks within the next seven days — cooling failures, power fluctuations, supply delays — with enough lead time to act before impact.

Alert type: OPERATIONAL · CRITICAL
30-Day Tactical
Strategic Positioning

Tactical warnings across the 30-day window allow procurement and engineering teams to reposition inventory, adjust vendor commitments, and re-sequence build schedules.

Alert type: TACTICAL · MODERATE
90-Day Strategic
Long-Range Risk Mapping

The 90-day horizon is where competitive advantage lives. Strategic warnings give leadership the runway to restructure contracts, secure alternative suppliers, and de-risk the entire facility programme.

Alert type: STRATEGIC · ADVISORY
02
Facility-Specific Learning

The intelligence is yours.

Every facility is different. Our ML and reinforcement learning models calibrate to your specific build programme, vendor relationships, operational patterns, and risk tolerance. The intelligence is yours and it compounds over time.

01
Build Programme Calibration

Models ingest your construction schedule, contractor relationships, and delivery dependencies from day one.

02
Operational Pattern Recognition

Reinforcement learning continuously refines predictions based on actual operational outcomes unique to your facility.

03
Compound Intelligence

Every decision and outcome feeds back into the model. Accuracy improves. The longer you run it, the sharper it becomes.

100% 75% 50% 25% PREDICTION ACCURACY DAY 1 MO 3 MO 6 MO 9 MO 12 TIME → 01 CALIBRATION 02 PATTERNS 03 COMPOUND 94% ACCURACY
Model accuracy compounds the longer it runs on your facility
03
Uncertainty Quantification

Confidence is data too.

0%
Supply Chain Accuracy
0%
Avg Prediction Confidence
0%
Signal Reliability

Every prediction carries a calibrated confidence score. We do not just tell you what will happen — we tell you how certain we are and why, so you can prioritise action intelligently rather than treating every signal with equal urgency.

04
Model Architecture

The models that power everything.

Three layers working together across every product Veltora builds.
Layer 01
Supervised Learning

Trained on historical failure data across thousands of data centre events. Predicts known failure modes with calibrated probability scores before they surface.

Layer 02
Unsupervised Anomaly Detection

Discovers novel risks nobody has seen before. No labelled training data required. Continuously maps the boundary between normal and anomalous across all facility systems.

Layer 03
Reinforcement Learning

Autonomous decision optimisation. Learns from outcomes to improve future recommendations. The longer it runs on your facility, the more precisely it adapts to your operating environment.

FACILITY DATA IN LAYER 01 Supervised Learning FAILURE PREDICTIONS LAYER 02 Anomaly Detection ALL RISK SIGNALS LAYER 03 Reinforcement Learning OPTIMAL DECISION
Three layers · Continuous learning · Calibrated uncertainty · Your facility, your model