Classification
Themes, not sectors
Companies map to the themes that actually drive them — surfaced from filings, news and alt-data, not a decade-old sector code.
Power grid buildoutADD
GLP-1 supply chainADD
Legacy retail REITDROP
Thematic classification from NLP and alternative data — beyond standard taxonomies — plus constituent and weight forecasts a measured T+N ahead of official effective dates, normalized into one schema across every index you track.
Companies map to the themes that actually drive them — surfaced from filings, news and alt-data, not a decade-old sector code.
We model index methodology and flag likely constituent and weight changes before the provider confirms them.
Many providers, many formats, collapsed into a single normalized data layer you can query the same way every time.