Industry Resources

Industry reports, analyst rankings, and external resources

External Resources

Industry reports, analyst rankings, and third-party resources that provide context on quantitative analytics and AAD technology in the financial industry.

MatLogica Open-Source Projects

Explore all MatLogica repositories, examples and benchmarks on GitHub.

Chartis Research QuantitativeAnalytics50 2025

Chartis Research ranking of top 50 quantitative analytics vendors and technologies.

What You'll Find

Overview of leading quant analytics providers
Key trends in computational finance

Key Insights

Recognition for top players
Benchmarking vendor capabilities

Explore More

Learn about AADC technology

How AADC Works

AADC extracts a computational graph (DAG) from existing analytics at runtime and compiles it to optimized machine code, achieving 100-1000× for Python and 6-100× for C++ with automatic derivatives.

Learn More

Performance Benchmarks

Independent benchmarks demonstrating AADC's performance advantages over traditional AAD approaches, GPU implementations, and ML frameworks.