Proxet
9 Case Studies
A Proxet Case Study
A $25 billion AUM hedge fund was facing significant challenges due to fragmented data sources and slow, manual processes. This made it difficult to consolidate, clean, and analyze the critical data needed for investment decisions. Their analysts lacked robust benchmarking and visualization tools, hindering performance tracking, while unique data sets required inefficient, ad-hoc workflows. The client did not have the internal engineering resources to address these infrastructure problems.
Proxet implemented a comprehensive data solution built on the Palantir Foundry platform. They established a new data architecture, building a master time-series data warehouse to consolidate trading and market data and creating automated daily ingestion pipelines. Proxet developed a suite of intuitive comparison models and visualizations, including a Trade Visualizer tool, and leveraged Palantir Ontology to structure unique data sets. The results were transformative, significantly reducing manual data work, enabling real-time analysis, and providing faster, more accurate benchmarking that improved trading strategies and decision-making.
$25B AUM hedge fund