Automated Regression Testing Software for Embedded Systems
Track firmware regressions across repeated test runs, device states, and hardware configurations with structured evidence that validation teams can review quickly.
Apex Virtual Laboratory
Apex Virtual Laboratory: Next-Gen Firmware & HIL Test Automation
TracePulse powers an autonomous validation workflow for hardware, firmware, and embedded systems teams. Upload validation logs, inspect parsed event timelines, and surface cascade-aware diagnosis before manual triage consumes another debug cycle.
Core technical solution
Continuous Hardware-in-the-Loop Validation Pipelines
Apex Ultra Labs is building validation intelligence for continuous hardware-in-the-loop testing, firmware regression workflows, and state-machine validation across complex engineering systems. The lab connects device logs, serial traces, packet captures, telemetry streams, and automated test output into one evidence layer for engineering teams.
Log intake
Drop a hardware or firmware validation log.
TracePulse Analysis
Ready
Parsed Events
22
Unparsed Lines
0
Failure Events
3
10:00:00.220
Attach Complete
10:00:01.020
Repeated PRACH attempts detected
10:00:01.025
Root cause: RACH Failure, max preamble transmissions reached
10:00:01.030
Ripple effect: controller rejected the recovery sequence
10:00:01.050
Ripple effect: EMM Attach Reject, cause 15
Log analysis and triage
Automated Test Failure Triage & Validation Log Analysis
TracePulse analyzes event streams and validation logs to isolate the earliest failure in a cascade. Instead of treating every downstream reject, timeout, or service failure as a separate defect, the lab identifies the root technical trigger and turns it into a concise engineering action.
Root Cause Isolation Software for Firmware Failure Streams
Convert noisy failure streams into state-machine timelines that distinguish first-cause failures from downstream ripple effects.
Automated Wireless Signal Analysis & RF Validation
Ingest event streams from RF validation runs, wireless signal analyzers, cellular data pipelines, and modem telemetry to correlate signal anomalies with protocol states, firmware transitions, and downstream service failures.