We have drawn on our years of experience as front‑office quants at major investment banks to optimize the agent for rewriting these libraries into clean, well‑formed, thoroughly tested, and extensively documented code, while preserving their original interface, making adoption seamless and reducing support overhead. As a result, valuable resources no longer need to be spent supporting legacy code, and can be reallocated to more revenue‑generating projects.
Automation lets a hypothesis be formulated, tested, and kept or discarded at a speed no manual process can match.
The client sets the objective and the specification; the agent delivers against them, and fast.