Prevent failures before they cascade
Unplanned downtime doesn't announce itself. Causify identifies the causal drivers of failures before they disrupt operations, saving millions in lost production and emergency maintenance.
The cost of unplanned downtime
In asset-heavy industries—oil & gas, manufacturing, utilities—unplanned downtime can cost tens of thousands of dollars per hour. Failures cascade: one bad sensor reading triggers a shutdown, which ripples through dependent systems.
Traditional predictive maintenance flags anomalies but can't explain why they matter or which interventions will actually prevent failure. Teams drown in alerts with no clear priority.
How Causify helps
Causify goes beyond anomaly detection. We discover the causal graph connecting sensor data, operational parameters, and failure events. You see which factors are true drivers and which are noise.
When an anomaly appears, Causify traces its causal path to potential failure modes and recommends interventions ranked by impact. Maintenance teams know exactly where to focus and can test what-if scenarios before acting.
How it works
Ingest operational data
Connect sensor telemetry, maintenance logs, and historical failure data from your CMMS or SCADA system.
Discover causal drivers
Causify builds a causal graph showing which signals drive failures and which are downstream effects.
Prioritize interventions
When anomalies arise, see ranked interventions with expected impact on failure probability.
Monitor in production
Deploy models that continuously update as new data arrives, with full audit trails.
Reduce downtime with causal AI
Talk to our team about predictive failure prevention for your operations.