Combines ease of integration with high performance. A toolkit that delivers 6-1000x speedups and automatic derivatives with <1% code changes. Focus on your models—AADC handles performance and AAD automatically.
AADC's revolutionary adjoint factor <1 means computing your function plus all derivatives faster than your original code computes just the function alone
All complicated by decades-old legacy systems
AADC Toolkit addresses all three challenges simultaneously while simplifying legacy integration. It's a comprehensive suite of tools featuring MatLogica's patented JIT graph compiler, powered by Code Generation AAD™ technology, which automatically compiles numerically intensive functions into highly optimized machine code with full derivatives.
6-100x faster Monte Carlo, scenarios, and what-if analysis—reducing cloud costs
Complete Greeks and sensitivities with adjoint factor <1—no manual differentiation
70% code elimination, fewer bugs, 3-4x faster dev turnaround—focus on models, not optimization
Drop-in-replacement, simple interface, results in weeks
Everything you need for production-grade quantitative development
Proprietary JIT Compiler
Automated Migration
Reverse Debugger & Diagnostics
Handle Complex Control Flow
Calibration Without Refactoring
Production-Ready Blueprints
Complete API reference, integration guides, and code examples
MatLogica's automatic adjoint differentiation (AAD) technology delivers breakthrough performance and easy integration across any environment.
Accelerate existing C++ and Python codebases without rewrites
Build new applications with performance and AAD built-in
Supercharge QuantLib, ORE, and other open-source libraries
Reduce cloud costs by 50-99% with optimized compute
"It's hard to develop well-performing models in C++. I've been very impressed by performance gains up to two orders of magnitude obtained by MatLogica after some integration work on QuantLib, and by the fact that the same work also enabled AAD; especially considering that the library contains hundreds of thousands of lines of code developed over more than 20 years."
Luigi Ballabio
Co-founder and administrator of QuantLib
"MatLogica's product changes the paradigm for quantitative software development eliminating the need to invest in optimizations. Quants can now focus on the models, and performance will be taken care of by MatLogica's JIT compiler."
Paul A. Bilokon
CEO, Thalesians Ltd; Visiting Professor, Imperial College London
"MatLogica offers a graph-based framework in C++, optimized for finance applications on modern hardware aware and complete with state-of-the-art AAD and proprietary on-the-fly compilation. Quants will find that MatLogica seamlessly fits with their libraries and effortlessly accelerates pricing and risk by impressive amounts."
Antoine Savine
Author of "Modern Computational Finance"
"The approach MatLogica takes to acceleration is novel in both its easy-to-use programming interface and high performance it achieves out-of-the-box. Straight-forward and minimal code changes, to make use of the libraries, offer leaps in performance for both xVA Pricing and Greeks Calculations."
Mahesh Bhat
Principal Engineer, Intel
Organization-Wide Deployment
Contact us for pricing based on your organization size and use cases
Individual Development
Perfect for evaluation and individual use cases
Free Options: Demo licenses for evaluation • Academic licenses for educational institutions
See how AADC can transform your quantitative development