LOCI - Line-Of-Code Intelligence Platform for Accelerating Software Development Efficiency
Since 2017, Aurora Labs has been pioneering data-driven innovation, developing a vertical large language model (LLM) known as Large Code Language Model (LCLM). This unique LCLM is optimized for rapid and cost-effective training, allowing teams to swiftly detect workload, performance, power, and quality issues inherent in both software and hardware. This LCLM powers our Line-Of-Code Intelligence (LOCI) platform, bringing static data to life, enabling teams to accelerate AI & Data Center infrastructure, and software development cycles.
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LOCI for Workload Analysis and Observability
Designed for companies developing performance-critical infrastructure, LOCI delivers comprehensive insights into system performance and efficiency. Our platform provides deep, actionable insights on CPU/GPU workloads, power consumption, CPU usage, and performance degradation—complete with precise root cause evidence spanning both software and hardware domains.
LOCI seamlessly integrates with leading observability tools like Datadog and Grafana, continuously fine-tuning itself throughout your development lifecycle to ensure optimal performance and efficiency.
Key features
Performance Degradation Mitigation
LOCI predicts execution cycles for each software component across cloud, server, and embedded hardware systems. This deep analysis protects against cold startups, timeouts, and time-event deviations by analyzing atomic cycles and program counter-branching mechanisms, ensuring optimal system performance.
Energy and Performance Optimization
LOCI predicts Vmax, Vmean, and Vmin per application and service, providing actionable recommendations for optimizing system performance and efficiency.
Software Behavioral Verification
LOCI examines both source code and compiled binary files to uncover root cause evidence, enabling teams to anticipate and prevent potential unforeseen consequences before production deployment. This shift-left proactive approach significantly enhances software reliability and reduces post-deployment issues.
LOCI for Reliability, Availability, and Serviceability (RAS) in AI Inference
LOCI enhances AI inference with a robust Reliability, Availability, and Serviceability (RAS) solution for in-field device analytics. Leveraging a local Deep Neural Network (DNN), this efficient and cost-effective vertical model comes equipped with an API for developers. LOCI's RAS software stack predicts performance degradation, issues downtime probability alerts, and provides prescription updates, ensuring seamless communication and optimal performance across nodes. This comprehensive approach empowers organizations to proactively manage their AI infrastructure, minimizing disruptions and maximizing efficiency.
Key features
System Insights and Performance Monitoring
Prediction of workload trends, detection of bottlenecks, optimization of cold startups, tracking of event deviations, and root cause analysis for improved system reliability and performance.
In-field - Monitoring
Degradation prediction of power, temperature, performance, CPU, and quality in real-time.
Silent Data Corruption (SDC) Detection
Monitoring of PVT, ECC, GPU, CPU, and memory corruption with root cause analysis.
Specific Data Insights
Identifying issues such as missing data in databases, module comparisons, and code-specific problems down to the line and core level.
Temperature Behavior Analysis
Anomaly detection in specific dies and cores, pinpointing affected code sections.
Voltage Optimization
Voltage adjustments recommendations based on ECC increases and system performance.
By implementing LOCI's RAS capabilities, organizations can significantly reduce downtime, optimize AI inference performance, and proactively address potential issues before they impact operations.
LOCI for Testing Optimization
A single go-to comprehensive testing optimization platform that predicts dynamic behavior in lines of code, powered by an efficient, accurate, and cost-effective LCLM model. LOCI enhances test coverage, reduces test cycles, ensures quality, and accelerates feedback—all within a single intelligent solution.
Key features
Test Scenarios Recommendation
LOCI effectively identifies code changes, their cascading effects and software behavioral impacts, providing clear recommendations for variables and functions to include in creating new test scenarios. This approach ensures comprehensive coverage of your project and enhances overall software quality.
Intelligent Predictive Test Selection
LOCI Intelligently prioritizes the most critical tests for code changes, enhancing software quality by focusing on high-impact test scenarios, reducing test cycles by up to 80%, test execution time by up to 70%, and infrastructure costs by up to 30%.
Test Coverage
LOCI identifies the codebase's untested areas and ensures all code functions are evaluated to enhance quality and reliability, eliminating up to 50% of production defects caused by untested code.
LOCI for Developers
LOCI revolutionizes software development by providing early defect detection, focusing on quality and performance. Our platform delivers software behavioral feedback with project context awareness to identify and resolve issues before code review and commits. By pinpointing exactly where and how to fix critical problems, LOCI alleviates development stress and empowers teams to confidently meet production deadlines with enhanced code quality and performance.
Key features
Intelligent Advisor Engineer Feedback
LOCI's LCLM-powered intelligent conversations offer comprehensive insights, serving as the ultimate AI companion for developers. It uniquely understands complex system behaviors, from time-based deviations and timeouts to functionality quality and performance degradation, providing context-aware guidance throughout the development process.
Customizable Actionable Dashboard
LOCI offers a comprehensive visualization of modules, functions, and their intricate dependencies. This intuitive dashboard delivers deep insights and actionable data, enabling developers to quickly identify, prioritize, and resolve issues, significantly accelerating the development cycle.
By accelerating testing cycles and enhancing software reliability, LOCI empowers teams to enhance their development velocity while maintaining the highest quality standards and significantly reducing cloud, hardware, and data transmission costs.
* Currently support C/C++, Python in Q2, 2025
Role-based Value Proposition
Development Teams
LOCI prioritizes the most relevant tests for recent changes, significantly reducing debugging time and boosting overall productivity.
QA and Test Automation Engineers
LOCI provides enhanced test management visibility and accelerates root cause analysis of bugs, streamlining the QA process.
DevOps Engineers
LOCI offers a unified solution to streamline CI/CD workflows while reducing infrastructure costs and optimizing DevOps operations.
Release Managers
LOCI delivers advanced insights and analytics, enabling intelligent and informed decision-making about release readiness and effective risk monitoring.
Our Technology
Aurora Labs' proprietary Large Code Language Model (LCLM) is optimized for executable compiled BIN files and Software language. It outperforms regular Large Language Models (LLMs), making it an essential tool for modern software development, enabling it to detect changes in code behavior and dependencies with unparalleled precision.
LOCI goes beyond the static analysis of software and understands the context of the software behavior within a given functional flow. These insights enable LOCI to detect deviations that are anomalies to the expected and predicted software behavior before production deployment.
The LCLM analyzes software artifacts and transforms complex data into meaningful insights. Unlike existing Large Language Models (LLM), LOCI's vocabulary is more productive and efficient because it is x1000 smaller and has reinvented the tokenizers and pipeline training using only 6 GPUs. This LCLM drives LOCI - our Line-Of-Code Intelligence technology platform.
About Aurora Labs
Aurora Labs is pioneering the use of AI and Software Intelligence to solve the challenges of software development. Aurora Labs brings Lines-Of-Code Intelligence™ (LOCI) to the entire software lifecycle, from development to testing, integration, quality control, continuous certification, and over-the-air software updates. Aurora Labs focuses on complex software engineering projects including embedded systems and software-defined vehicles.
For more information: www.auroralabs.com
Why Aurora Labs?
- Pioneering AI and Software Intelligence since 2016, addressing complex software development challenges
- Proven track record of optimizing mission-critical systems for customers, reducing data acquisition by 90%, test cycles by 70%, test reviews by 50% and significantly saving cloud costs
- Innovation leader with over 100 granted patents
- Commitment to industry standards, including 27001, ASPICE L2, ASIL B, ISO 26262, 9001, and 21344
- Global support network encompassing engineering, customer success, and operations
- Strong strategic partnerships, enhancing market position and capabilities
- Versatile solutions catering to startups, SMBs, and large enterprises, with flexible hosting options (Cloud, On-Premise, SaaS)
- Unparalleled expertise, boasting 300 development years of experience in code-level machine learning models for C/C++ on embedded software
