The service monitors selected competitor PDPs, marketplace listings, and dealer pages, and emails daily when prices, Buy Box status, or stock status changes.
The service monitors selected competitor pages, including pricing, product, changelog, and careers pages, and emails daily when numbers or wording change.
Teams use sieve to extract and validate data from public records, websites, regulatory filings, research publications, and PDFs. The page shares AI-powered extraction practices, automation strategies, and team examples.
sieve helps hedge funds build trade datasets by sourcing, extracting, and normalizing fragmented data across formats, languages, and source structures.
The page maps restaurant health inspections across NYC, Chicago, and LA, noting that doughnut shops top NYC, some Michelin spots rank below Burger King, and Chicago conducts few inspections on weekends.
The Y Combinator-backed startup is building AI-powered data quality agents and data extraction and validation workflows. Its team is described as ex-MIT and ex-Citadel.