CausalX.ai

Know why. Not just what.

A decision intelligence platform for operations leaders. When a KPI drops, CausalX tells you the root cause, quantifies the financial impact, and recommends the action — in seconds, not days.

See How It Works
15–30s root cause analysis
100% evidence-backed
Zero hallucination
Same problem. Two paths.
Watch what happens when OTIF drops 6%.
Today
KPI alert fires
Day 0
Analyst pulls data from 3 systems
Day 1
Cross-functional call to align
Day 2
Manual RCA in spreadsheet
Day 3
Present findings to leadership
Day 4
Decision made. Maybe.
Day 5+
With CausalX
KPI alert fires
0s
Ontology resolves context automatically
5s
Causal attribution isolates 3 drivers
12s
Ranked root causes with evidence
18s
Action recommended + owner assigned
22s
Decision ready. Evidence-backed.
25s
Retail — Revenue root cause analysis
Chat
Causal graph
Stockout rate +18% Demand signal error Missed replenishment Safety stock gap 42% 33% 25% Promo cannibalization DC fill rate drop Seasonal shift Static reorder points Substitute SKU lift 12 DCs below SLA
—
Analysis time
—
Confidence
—
Addressable impact
Oil & Gas — Refinery throughput & margin protection
Chat
Causal graph
Throughput -643K CDU disruption Yield shift 29.4% loss 60h down -$13K margin delta Availability 50% Downtime 60h Inventory pressure Movement delays REF001_CDU (Feb 1-5) Gulf Coast -$245K
—
Analysis time
—
Confidence
—
Addressable impact
The evolution
From dashboards to reasoning

Traditional observability tells you what happened. CausalX tells you why — and what to do next.

Legacy observability
Before
Correlation-based metrics — tells you what happened, not why
CausalX Intelligence
After
Dock Backlog Staff Shortage Other
Causal attribution — instantly surfaces root causes and recommended actions
Accuracy benchmark
CausalX AI Legacy ML

Root cause identification accuracy over 24 months of deployment

Performance radar
CausalX vs. Traditional AI

Performance improvement across key enterprise dimensions

Root Cause Accuracy
+68%
Time to Insight
11x faster
Decision Confidence
+52%
False Positive Rate
-79%
Intervention Success
+73%
Across industries
One reasoning engine. Any domain.

Retail

Variant stockouts in 40% of top stores — not pricing — was the true driver of sell-through decline.
Stockout RCA Demand sensing Assortment gaps
5%
STR Recovered
$4.2M
Margin Saved
48%
Primary Driver

Energy

All monitoring showed green. CausalX traced 61% of heat rate deterioration to compressor fouling — invisible to alarms.
Heat rate RCA Asset degradation Predictive maintenance
32L/mo
Fuel Saved
61%
Hidden Cause
2.5d
ROI Payback

Manufacturing

OEE dropped 6.4% across 3 lines. CausalX isolated changeover delays as the primary driver — not quality or micro-stops.
OEE decomposition Changeover analysis Line balancing
+6%
OEE Restored
38min
Saved / Shift
3.8%
Primary Loss

Supply Chain

Team blamed carriers for OTIF decline. CausalX found 72% of delays originated at DC dock scheduling, not transit.
OTIF analysis Network bottleneck Dock optimization
+11%
OTIF Recovered
72%
Misattributed
3wk
Time to Impact

The next decision doesn't
have to be a guess.

From reacting to reasoning. In seconds, not weeks.