Enlyft combines proprietary data collection, dedicated AI models, human researchers, vetted data partners and a network of user contributions to provide precise and rich company data. Our typical process consists of:
- We crawl billions of public documents daily to extract relevant company information
- We combine public data with vetted and reliable third party data providers
- Our proprietary AI models validate, classify and further refine the data, and help us detect anomalies or critical company events
- Our community of users create and contribute unique data assets
- Our data researchers regularly review the data to manually fix issues and remove poor data
- Our data scientists monitor quality metrics and continuously improve our AI models to accommodate an ever growing data set and stricter quality requirements