Service
Transform quant research prototypes into production-grade trading systems. We take your Python/R strategies and rebuild them as low-latency Java/C++ systems with deterministic execution, HA failover, and sub-10µs p99 tail latency.
Quant researchers build strategies in Python and R for speed of iteration. But production trading demands consistent sub-microsecond performance, fault tolerance, and regulatory compliance. We bridge that gap — taking your validated alpha signals and engineering them into battle-hardened production systems.
We translate your Python/R prototype logic into optimised Java or C++, eliminating garbage collection pauses, using lock-free data structures, and designing for cache-friendly memory access patterns.
Production strategies must behave identically under all conditions. We engineer consistent p99 latency with jitter-free execution, CPU isolation, and kernel bypass networking.
Active-active deployments with automatic failover ensure your strategies keep running through hardware failures, network partitions, and data centre incidents.
Rigorous validation pipeline including historical replay, simulation environments, and regression testing to verify the production system matches research PnL expectations.