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Connect metrics, logs, sensors, traces, events, and camera / VLM when useful.
AI-native Operational Event Intelligence
Know what actually
needs attention.
Asgard continuously understands metrics, logs, sensors, traces, events and other operational signals, then correlates independent changes into the few events that actually need attention.
See how it worksMetrics · Logs · Sensors · Traces · Events · Camera / VLM
Cross-signal anomaly detection
Many lines. One anomaly worth attention.
ANOMALY CANDIDATEMULTI-SOURCE · 60S WINDOW
An anomaly may be occurring
Seven of nine signals deviate from their own baselines in the same time window. Asgard correlates those changes into one event candidate for review.
01
METRIC-01p95 latency +182% from baseline
02
LOG-07Error pattern frequency increased 2.4×
03
SENSOR-03Variance moved outside normal band
04
TRACE-12Downstream retries increased
05
EVENT-09Repeated state changes detected
ASGARD DECISIONCreate one event, retain the related evidence, and hand it to the next workflow for review
Each system only sees one part of the picture.
Asgard decides whether they are telling the same story.
How it works
From signal to action.
Find related changes
Compare what changes in the same time window instead of turning every signal into an alert.
Decide if it is one event
Combine baselines, rules and AI to determine whether separate changes belong to the same operational issue.
Move to action
Pass the event, evidence and status to a person, workflow or AI agent.
Built around your operations
Keep the systems you already have.
Asgard sits above existing monitoring and data sources. Observability, industrial systems, event streams, blockchain indexers, and camera / VLM can all be signal sources.
Metrics / Time-series
Logs
Traces
Sensors / IoT
System / Chain Events
Camera / VLM
Asgard
Turn operational signals into actionable events.
AI-native Operational Event Intelligence Platform.
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