Deep expertise in building complex machine learning systems including high-performance optimization solvers that prioritize both speed and accuracy.

Founded by a Ph.D. in Mathematical Physics with several publications in top scientific journals and over a decade of experience in the machine learning industry.

All algorithms built and deployed on robust hardware across several hundred cores and TBs of memory including Apple M-series Pro chips, Intel Xeon Platinum 8000 series, AMD Epyc 7000 Series, and a GPU stack consisting of NVIDIA A10G Tensor Core GPUs for high-performance machine learning.

In addition to large in-memory architectures, ML applications are distributed across high-memory Spark clusters using AWS Elastic MapReduce (EMR).

Our proprietary platform ingests and analyzes vast streams of market data daily, using algorithms backtested over decades to generate precise trade signals that our execution engine acts on immediately.

We draw inspiration from dynamical systems theory, modern machine learning, and open collaboration, holding ourselves to the highest standards of scientific rigour to deliver consistent, data-backed results while managing risk with precision.