Sift
Drop a widget on your site and turn a pile of technical PDFs into searchable, chat-able, cited knowledge.
Overview
Industrial companies drown in datasheets, manuals and spec sheets. Sift ingests them through a hardened extraction pipeline and exposes three surfaces: an embeddable widget for the customer's own site, a dashboard, and a full operations portal.
It does real retrieval — streaming, cited answers over your corpus — plus hybrid keyword and semantic search. The economics are engineered: identical PDFs across tenants are de-duplicated by content hash and share one extraction with reference counting, roughly 90% off the AI bill. And it's a business, not a parser — the admin side does customer health-scoring, cost analytics, and email lifecycle automation.
Highlights
- An extraction pipeline with a circuit breaker, request idempotency, and quality validators.
- Retrieval on a vector index with an HNSW graph; hybrid keyword and semantic ranking.
- A containerized worker draining a Postgres job queue, separate from the web app.