Manual fund data processing is a bottleneck. It wastes time, leads to mistakes, and blocks scale. CLEANYTICS reduces that friction by transforming raw inputs and supplier formats into clean, standardized outputs, ready for downstream use.
CLEANYTICS is building a lightweight platform to standardize and transform raw fund data and supplier-specific formats into structured outputs you can actually use.
Financial institutions face complex, inconsistent file structures that slow down or completely block automation. CLEANYTICS simplifies this by:
Mapping raw fields into one consistent output schema
Normalizing structure and naming across suppliers
Extracting relevant information from semi-structured sources
Making data easier to validate, analyze, and deliver
We focus on modular transformation logic, helping teams handle fund data at scale without reinventing a parser for every new file type.
Whether it’s CSV, XLSX, JSON, or PDF, CLEANYTICS turns it all into one unified, structured output, delivered in a single schema, available via API or as a clean CSV file.
Right now, we focus on fund and ETF holdings files, two of the most fragmented data types in the industry. But our broader goal is to normalize additional sources, including regulatory data like MiFID templates, which are often inconsistent despite being “standardized.”
With CLEANYTICS, setup is simple. From that point on, you’ll always receive structured, usable data without the manual cleanup.