Sold by: Aurora LabsÂ
Deployed on AWS
LOCI, Line-of-Code Intelligence platform, transforms observability and shift-left approach by extracting deep performance insights from compiled binaries (e.g., C/C++, Go, Rust), without requiring source code. 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, enabling early detection of performance degradations, power inefficiencies, and test coverage prediction, after project build.
Overview
LOCI is Aurora Labs' AI-driven observability and performance intelligence platform that enables software developers and engineering teams to gain deep performance insights from C, C++, GO and Rust compiled binaries without requiring source code access.
Traditional static analysis and observability tools struggle with compiled binaries, missing crucial execution context, hardware interactions, and real-time behavioral patterns. LOCI solves this fundamental challenge by modeling compiled binaries with real-world execution data, enabling unprecedented visibility into performance characteristics at the build stage. This shift-left approach allows teams to detect performance degradations, power inefficiencies, and optimization opportunities before they impact production systems.
LOCI's Key features include:
- Performance Degradation Prediction
- Slowing down functions
- Function Response time
- Functions bottleneck
- Functions throughput
- Risky functions highlighting
- Functions Energy trends, Q3-25
Designed for companies developing performance-critical infrastructure, LOCI provides 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 uncovers anomalies in static data, shifts observability left, and predicts emerging trends in dynamic data, discovering hardware and software reliability issues, to reduce costs and time to resolution (MTTR)
LOCI uses Aurora Labs' specialized Large Code Language Model for compiled binaries, leveraging real-world execution data to predict performance impacts, identify power-hungry functions, and recommend intelligent test coverage.
LOCI integrates into CI/CD pipelines for real-time post-build feedback, eliminating extensive profiling while enabling early anomaly detection, reduced rollbacks, and faster MTTR through early-stage optimization.
Built on AWS infrastructure, LOCI leverages the platform's security, performance, and reliability advantages. Deployment options include standard cloud hosting, AMI/VM within customer VPCs, or SageMaker ML model integration, accommodating diverse organizational requirements.
Role-Based Value:
- VP/Director of Engineering: Accelerate overall development velocity
- Developers: Reduces debugging time with test prioritization strategy
- QA Engineers: Speeds root cause analysis and test management
- Release Managers: Provides deep insights for informed release decisions
Why Choose Aurora Labs?
- 100+ patents, ISO certifications (27001, ASPICE L2, ASIL B, etc.), and global customer success support.
- Proven success: Reduces data acquisition by 90%, test cycles by 70%, and test reviews by 50%.
- Flexible hosting (Cloud, On-Premise, SaaS) for startups, SMBs, and enterprises.
- Expertise in code-level AI for embedded software, currently supporting C, C++, GO & Rust.
Highlights
- Observability-level insights before the observability hassle: LOCI enables teams to identify potential performance issues immediately after build, rather than waiting for problems to surface in testing or production - helping teams address problems earlier in the development cycle, when fixes are less costly and disruptive. This includes insights about system behavior, performance bottlenecks, and power consumption patterns that would previously only be available through vast runtime monitoring.
- Reducing cloud infrastructure and testing costs: LOCI significantly reduces cloud infrastructure costs. Teams spend less time running and automated tests, and require fewer debug-deploy-test iteration cycles - which translates into reduced CPU usage in CI/CD pipelines and test environments. Additionally, LOCI helps organizations avoid the compound cloud costs associated with maintaining parallel environments and running extensive post-deployment diagnostics.
- Performance analysis when source code is not available: Engineering teams often work with third-party software components where source code isn't available. LOCI enables teams to analyze performance characteristics and potential issues using only the compiled binary files. This helps to pinpoint performance issues in complex systems, and can help allocate responsibilities for solving problems between partnered companies.
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Dimension | Cost/month |
|---|---|
LOCI AI Advisor Enterprise starter package | $10,000.00 |
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Support through email Support@auroralabs.comÂ
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