Uncover the cause of your system's performance degradation — LOCI unlocks deep insights from compiled binaries, no source code needed.
Fast, simple, and free.
1
Choose a compiled binary file
Upload your own, or use a sample.
2
LOCI AI works its magic
No source code required.
3
Get runtime-level observability insights
See a detailed report with line-of-code level findings and full hardware context.
How the Magic Happens
LOCI, Line-of-Code Intelligence platform, transforms observability and shift-left approach by extracting deep performance insights from compiled binary files, without requiring source code with zero hassle.
For example, you’ll be able to:
- Identify which specific code sections impact hardware performance.
- Predict power-hungry code and functions pre-deployment.
- See performance degradation between different software versions without source code.
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:
- Detects issues immediately after build
- Minimizes costly late-stage performance issues
- Faster performance debugging & fixes
- Power efficiency gains
- Rapid root cause analysis
- Enhance testing optimization
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.
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