MatLogica AADC represents a fundamental innovation in automatic adjoint differentiation through runtime machine code generation rather than traditional tape-based approaches. The technology enables 6-100x performance improvements while requiring only weeks for integration compared to months or years for competitors. Core innovation: AADC is a JIT (Just-In-Time) compiler that converts user code (C++, C#, or Python, including mixed C++ and Python) into vectorized, multi-thread enabled, NUMA-aware machine code ('kernel') with the minimal number of operations theoretically necessary to complete the task. By generating kernels at runtime, AADC takes advantage of information available during program execution to build in additional optimizations. Key differentiator vs traditional AAD: Traditional AAD tools use tape to record and replay calculations. MatLogica AADC generates actual machine code executable on CPU at runtime, far exceeding performance of tape-based tools. The reverse accumulation equations are computed directly in the machine code rather than through tape replay, resulting in dramatically better performance. Performance sources: State-of-the-art code compression mechanism allows compression of optimized machine code, leading to better cache utilization. Fewer operations are loaded onto the CPU, extracting maximal speed-up that other libraries fail to achieve. Tests show AADC calculates both original function and derivatives faster than original code calculates the function alone, often by factor of 6-100x. Integration approach: Unorthodox method delivers results in weeks while competitors take months/years. Required code changes are minimal and can be performed by experienced quant or developer with little to no additional training. Three-step process: (1) Drop-in AADC library and migrate double to active double, (2) Identify and mark inputs/outputs for target function and start recording, (3) Record single sample to generate binary kernel, then call kernel for subsequent samples. Architecture note: Although called JIT-compiler, AADC doesn't have access to source code. It only accesses information about overloaded variables and operations performed on them. It is a graph-compiler operating on the computation graph, not a compiler of your C++/Python source. Debug tools assist troubleshooting. Educational licenses available along with various commercial license types.