Directed graph compute and data framework.
We first encountered problems in investment banks relating to large numbers of calculations to be done, with ever-changing datasets. Added complexity is the evolving software needed to perform the calculations.
Many firms have tried to copy the canonical example of Goldman’s SecDB, with several investment banks building similar capabilities. Many commercial software platforms require a similar capability — either explicitly or not. Examples are accounting and audit, data modeling and even machine learning where the model provenance is important.
We are currently have a prototype with plans to build a demonstrator service. If interested, please get in touch.
