Four ways in, depending on where your code is today: a legacy library, a greenfield build, QuantLib or ORE, or a cloud bill that has to come down.
A traditional AAD library slows the code by 4x or more. Real-time risk needs a different execution model, not another round of tuning.
Vendor pricing increases but migration feels impossible.
An architecture chosen under time pressure becomes the technical debt of the next five years.
Compute spending grows faster than business value.
Select the approach that best fits your quant finance needs
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 optimised compute
Find the right approach for your team
Production-scale ISDA SIMM benchmarks demonstrating real-time margin capabilities
Deep-dive into the technology behind AADC and see real-world performance results
See how AADC accelerates your specific use case. We'll run a benchmark on your actual models.