AI-Powered Binary Analysis for Custom Silicon Software

Detect performance degradation in your custom silicon software before deployment.

Get free access to the LOCI platform and see your first performance insights report

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By submitting this form, you agree to our terms and conditions.
Enter your details to Try LOCI NOW
By submitting this form, you agree to our terms and conditions.

Shift-left Observability to Close the Runtime Gap Earlier in the Development Lifecycle

LOCI – the Line-of-Code Intelligence platform – extracts insights from compiled binary files, without requiring source code. It helps you identify underperformance in custom hardware stacks used for specific domains such as embedded, networking, AI training/inference, and others.

For example, you’ll be able to:

  • Detect performance and power regressions between firmware, compiler, or runtime versions
  • Validate behavior across different silicon steppings, SDK builds, or driver updates
  • Optimize firmware and SDKs for energy-aware computing (e.g., AI inference chips)
  • Surface anomalies in software behavior before hardware-in-the-loop phases
  • Identify high-risk software changes to accelerate silicon bring-up

Learn More About Line-of-Code Intelligence (LOCI)

Traditional static analysis and observability tools fail to detect performance issues in compiled BIN files due to missing execution context, hardware interactions, and real-time software behavior analysis. LOCI bridges this gap by modeling compiled binaries with real-world execution data.

Key Benefits:

The Technology

LOCI leverages Aurora Labs’ proprietary vertical LLM, known as Large Code Language Model (LCLM), that is designed explicitly for compiled binaries.

Unlike general-purpose Large Language Models (LLMs), LCLM delivers superior, efficient, and accurate binary analysis and detection of software behavior changes on targeted hardware, offering deep contextual insights into system-wide impacts – without the need for source code.

The LCLM analyzes software artifacts and transforms complex data into meaningful insights. Unlike existing Large Language Models (LLM), LCLMI’s vocabulary is highly efficient (x1000 smaller) with reinvented tokenizers and effective pipeline training using only 6 GPUs.

This LCLM drives LOCI – our Line-Of-Code Intelligence technology platform.

About Aurora Labs

Aurora Labs is a domain expert in ML, NLP, and model tuning, pioneering data-driven innovation since 2017, developing a proprietary vertical large language model (LLM) known as Large Code Language Model (LCLM). This LCLM specializes in comprehensive system workload analysis focusing on power and performance for observability and reliability, accelerating the development of embedded systems, AI, and Data Center infrastructures.

Founded in 2016, Aurora Labs has raised $97m and has been granted 100+ patents. Aurora Labs is headquartered in Tel Aviv, Israel, with offices in the US, Germany, North Macedonia, and Japan.

For more information: www.auroralabs.com

Let’s discuss how LOCI can help your team optimize software performance.

Enter your details to Try LOCI NOW
By submitting this form, you agree to our terms and conditions.
Enter your details to Try LOCI NOW
By submitting this form, you agree to our terms and conditions.
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