Aurora Labs’ LOCI, an AI-driven intelligence platform, transforms observability and shift-left approaches by extracting deep performance insights from compiled binaries, now available directly on AWS.
TEL AVIV, Israel, May 12, 2025 /PRNewswire/ — Aurora Labs, a leader in AI-driven observability and performance intelligence, announced today its acceptance into Amazon Web Services (AWS) Independent Software Vendor (ISV) Accelerate Program. This strategic collaboration allows Aurora Labs to leverage AWS’s extensive global network, providing enhanced customer solutions and driving mutual business growth.
The AWS ISV Accelerate Program is an exclusive initiative supporting AWS Partners with validated software solutions that run on or integrate seamlessly with AWS. By joining this selective program, Aurora Labs gains prioritized access to AWS co-selling resources, enabling closer collaboration with AWS sales teams and providing AWS customers with innovative performance intelligence solutions.
The program also provides incentives for AWS sales teams, allowing eligible AWS Account Managers who offer Aurora Labs as an AWS ISV Accelerate Partner with co-sell support to receive sales compensation incentives. This further accelerates collaboration and mutual business between AWS and Aurora Labs.
“Joining the AWS ISV Accelerate program is a significant step forward in our goal to redefine software observability and optimization,” said Zohar Fox, Co-founder and CEO of Aurora Labs. “By combining our innovative LOCI platform with AWS’s robust infrastructure and global reach, we can help more organizations dramatically reduce mean-time-to-resolution (MTTR) and enhance performance optimization earlier in the development cycle, driving substantial cost savings and efficiency gains.”
To learn more about the AWS ISV Accelerate Program and its benefits, visit here.
About LOCI Platform
Aurora Labs’ LOCI (Line-of-Code Intelligence) platform uniquely analyzes compiled binaries without requiring source code, integrating seamlessly into CI/CD workflows. This enables continuous, real-time feedback, proactive detection of anomalies, and enhanced resource efficiency, streamlining software development and deployment processes.
Key capabilities of the LOCI platform include the prediction of:
- Overall performance degradation
- Slowing down functions
- Functions’ response time
- Functions’ performance bottleneck
- Functions’ throughput
- Risky functions
- Function-specific energy trends (Q3’25)
LOCI leverages a proprietary vertical large language model (LLM) called the Large Code Language Model (LCLM), specifically designed for compiled binaries. With its LCLM, Aurora Labs pioneers the creation of purpose-built LLM to provide superior, efficient, and accurate binary analysis to detect software behavior changes on targeted hardware, offering previously unseen deep contextual insights into system-wide impacts.
About Aurora Labs:
Aurora Labs is a domain expert in machine learning (ML), natural language processing (NLP), and model tuning, pioneering data-driven innovation since 2017. The company has developed a proprietary vertical large language model (LLM) known as the Large Code Language Model (LCLM). This LCLM specializes in comprehensive system workload analysis, focusing on performance and power to enhance observability and reliability, thereby accelerating the development of embedded systems, AI, and Data Center infrastructures.
Aurora Labs has raised $100 million and has been granted over 100 patents. The company is headquartered in Tel Aviv, Israel, with offices in the US, Germany, North Macedonia, and Japan.
For additional information, visit: www.auroralabs.com
Media Contact:
Tal Sacharov
Director of Marketing
Tal.Sacharov@auroralabs.com
+972-52-8545961
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SOURCE Aurora Labs
