Category: Pre-runtime Performance Intelligence for Embedded Software
TEL AVIV, Israel – January 14, 2026 – Aurora Labs today announced that a leading Tier-1 automotive OEM has selected LOCI Agent, its pre-runtime, hardware-aware software intelligence platform, to detect software faults, logical bugs, and performance regressions in safety-critical ECU software – before lab testing, hardware integration, or vehicle deployment.
As automotive systems become increasingly software-defined, embedded software teams face rising complexity across multicore ECUs, third-party libraries, and rapidly evolving toolchains. Critical issues such as timing delays, power inefficiencies, or regressions introduced by compiler and SDK changes often remain hidden until late-stage testing, where fixes are costly, and program schedules are at risk.
LOCI Agent addresses this challenge by signaling software faults and performance risks directly from compiled code and executables, immediately after build and before any test or runtime execution, including HIL or vehicle-level integration. Powered by Aurora Labs’ proprietary CPU/GPU Execution Aware Model trained on realtime environment conditions from safety-critical and embedded systems, LOCI Agent analyzes C/C++, Go, and Rust binaries to surface timing delays, power spikes, and behavioral regressions – without requiring source code access, instrumentation, or runtime execution.
By integrating LOCI Agent into its development workflow, the Tier-1 OEM shifts performance and reliability awareness earlier in the lifecycle, enabling engineers to identify high-risk changes at build time rather than during system testing or post-production validation.
With LOCI Agent, engineering teams can prioritize testing based on AI-flagged risk, focus debugging on functions most likely to impact latency, determinism, or power consumption, and reduce late-stage rework and shorten debug cycles that typically consume weeks during system testing.
“In early deployments, teams are seeing clear ROI within weeks, including up to a 44% reduction in testing time,” said Zohar Fox, CEO of Aurora Labs. “By signaling high-risk software changes immediately after build, LOCI Agent helps prevent regressions from reaching system-level tests and reduce costly rework – before the software ever runs.”
Unlike traditional static analysis or runtime profiling tools, LOCI Agent operates pre-runtime and directly on executables, making it well-suited for modern automotive development environments where hardware access is limited and validation timelines are compressed. LOCI Agent is currently deployed in production automotive development environments.
More information about Aurora Labs’ LOCI CPU/GPU Execution Aware Model can be downloaded here:
About Aurora Labs
Aurora Labs develops LOCI Agent, a domain-specific AI platform that signals software faults, logical bugs, and performance regressions directly from compiled software binaries- before any test or runtime execution. Founded in 2016, Aurora Labs is headquartered in Tel Aviv, Israel, with offices in California, Germany, North Macedonia, and Japan.
For more information, visit www.auroralabs.com or schedule a discovery meeting with one of our experts.
