We developed PULSAR for you to gain continuous visibility into how your implemented system behaves in reality — by analyzing runtime data. It traces failures back to their origin in minutes. No more guessing.
The Challenge
Millions of interactions across software, electronics, networks, and physical layers make failures difficult to trace, reproduce, and explain with traditional tools. 80% of team effort goes into firefighting. When something fails, even experienced engineers spend days or weeks tracing through fragmented logs and signals to understand what actually happens.
How PULSAR works
Who benefits
90% faster root-cause localization
What changes
PULSAR analyzes traces and logs across domains to reconstruct how failures propagated through the system. By learning causal chains and runtime dependencies automatically, it pinpoints where issues started and which components were affected.
100% transparent and understood
What changes
Instead of starting from specification documents to investigate observed effects, PULSAR continuously builds a dependency map from runtime behavior, revealing how components actually interact across ECUs, middleware, suppliers, and domains.
Detect hidden failures before they escalate
What changes
By learning normal system behavior across thousands of test runs, PULSAR automatically detects deviations, unstable patterns, and hidden failure propagation — often before issues become externally visible.
What changes
PULSAR reduces debugging and coordination overhead by creating a shared runtime understanding across teams. Engineers spend less time tracing failures manually and more time delivering features.
What changes
PULSAR creates transparency across suppliers, domains, and integration layers — by reconstructing real system behavior from runtime data, not status reports.
What changes
PULSAR continuously learns how platforms, components, and services actually interact across releases and variants. This helps teams deliver with fewer surprises and improve predictability across scope, timing, and budget.
