Cybersecurity
and Compliance
Unified System Intelligence Across All Data Types
Stop drowning in fragmented data. Connect it all to complete understanding. Your operations data tells a complete story, but only if all the pieces connect. Harness the power of multimodal AI to transform how you understand system failures. By integrating Graph Neural Networks with OpenTelemetry's unified data collection, our solution automatically learns the complex relationships between traces, metrics, logs, code changes, and infrastructure events.
Our Graph Neural Network-powered platform automatically unifies all your observability data into one intelligent knowledge graph, revealing cause-and-effect relationships that no single data type can expose. Our graph-based platform eliminates the painful manual correlation work that operations teams waste hours on daily. Instead, the AI model automatically discovers how a metric spike in one service triggers latency in another, which cascades into trace failures and ultimately shows up as errors in logs.
These cross-layer patterns paint a broader story that predicts failures before they cascade, uncovering root causes that span infrastructure, application, and business domains. Operations teams no longer investigate in isolation. The result: root causes that span infrastructure to application to business impact, detected automatically and understood completely without manual intervention or static threshold rules.
Multimodal Knowledge Graph
See your complete system story with AI that automatically connects the dots across traces, metrics, logs, code changes, infrastructure and more to reveal hidden root cause stories.
Replace hours of manual investigation with automatic root cause discovery that connects causes and effects across all your data.
Understand complete failure stories by detecting anomalies that span infrastructure, application, and business layers as interconnected events.
Stop manually correlating different data sources, our AI automatically learns and maintains relationships across all modalities.
Uncover hidden root causes through automatic correlation of metrics, traces, logs, code changes and more, revealing causal chains no single data type could expose.
Break down team silos with unified visibility that speaks the same language across DevOps, SRE, application, and business teams.
With our multimodal knowledge graph platform, Support, DevOps and SRE teams gain the power to:
Delta Airlines’ Mobile App Outage (Aug 2016)
What happened:
Delta Airlines faced a major system outage that grounded flights nationwide for nearly five hours. A power failure in the Atlanta data center cascaded into widespread application failures, including the mobile app and airport check-in systems.
Impact:
-
Hundreds of thousands of passengers were stranded.
-
Flight operations, revenue, and customer satisfaction all took major hits.
-
Teams lacked unified visibility across infrastructure, apps, and customer feedback channels, delaying recovery.
How a Multimodal Knowledge Graph Could Help:
-
Semantic linking would have connected the “power failure” to downstream app and flight disruptions across disparate data sources.
-
Cross-modal correlation could have tied infrastructure events to performance degradation and social media complaints.
-
Temporal mapping would have revealed the causal chain-from power outage to flight delays-enabling faster, coordinated response.
Real world examples where Beemon could make a difference:
Marketing department
Headquarters