The ProntoNLP Filings Analytics dataset is a powerful tool for analyzing Machine Readable Filings data. It efficiently processes and extracts insights around performance metrics, generating key indicators related to future corporate performance across essential KPIs. By leveraging Natural Language Processing and an optimized Large Language Model, ProntoNLP accurately identifies and scores important phrases, enabling users to surface valuable information while filtering out noise.

This dataset can be used to identify and rank companies based on challenges and risks mentioned in their filings and reports. It also supports measuring inflation risk over time and validating financial statements. Additionally, ProntoNLP Filings Analytics helps detect corporate inflection points, such as firms newly pursuing inorganic growth strategies, offering forward-looking insights into organizational direction.

This dataset includes:

• Proprietary LLM developed to provide NLP metrics on Machine Readable Filings
• Both SEC and Non-SEC filings
• Hourly updates on signals
• Low correlation to earnings signals indicating this is new information