Inference Lab
Inference Lab
Open-source tools for production AI systems. Static analysis, weight optimization, and inference tooling.
PeakInfer
Static Analysis for AI Applications
Find configuration drift, cost issues, and performance problems before they reach production. PeakInfer analyzes your AI application code and infrastructure configuration to surface issues that would otherwise only appear at scale.
Configuration Drift Detection
Identify when your AI configuration has drifted from baseline, before it impacts production performance or costs.
Cost Analysis
Surface cost issues in your AI pipeline — from token usage patterns to inefficient model routing.
Performance Profiling
Find latency bottlenecks, memory issues, and suboptimal inference patterns through static analysis.
Available On
Platforms
CLI
Run analysis from your terminal. Integrates into any CI/CD pipeline.
VS Code Extension
Real-time analysis as you write AI application code.
GitHub Action
Automated checks on every pull request. Catch issues before merge.
Claude MCP
Use as a Model Context Protocol server with Claude for AI-assisted analysis.
PeakWeights
Weight Optimization Library
Research-backed weight optimization techniques for efficient model deployment. PeakWeights bridges the gap between research and production by providing practical tools for model compression, quantization, and inference optimization.
Open Source
Everything we build is public
Benchmarks, tools, and research. All on GitHub. Contributions welcome.