Under the hood
Connect your documents and the first answer lands within five minutes. Behind that one moment of ease sit an OCR stack, a retrieval model, and a search engine we built ourselves. These are the six capabilities that make up Schift.
Reads scans, stamps, and handwriting.
Upload images as they are — no format conversion, no preprocessing. Merged table cells, red seal stamps, handwritten signatures: each region is detected and restored to its original structure. Korean PDFs and HWP files, scans included, become citable evidence as-is.
In-house OCR modelIt does not miss on Korean contract and policy terms.
General-purpose retrieval slips on Korean working documents. Schift retrieves with a model trained on Korean text, finding the evidence closest to what the question actually means, and handles documents so context is never cut mid-thought.
Tuned for Korean0.3 ms retrieval. You feel it in the answer.
Retrieval speed decides how an answer feels. Our own search engine finds candidates in the blink of an eye, then re-sorts them by likely correctness. It does not slow down as your corpus grows.
287µs · in-house engineIt answers only from documents you can see.
Access rights from Notion and Drive carry over unchanged. Documents you lack permission for are dropped from the candidate set entirely. Even with a bot in a team channel, each person gets answers only from what they are allowed to read.
Document permissions, unchangedThe same evidence every time, down to the page.
Citations, not plausible-sounding prose. Every answer points to the document and page it came from. The same question returns the same evidence — whoever asks, however often.
94% evidence consistencyAnswers arrive where your team already is.
No new app to open. Add a bot to Telegram, Discord, or Slack, or wire it up through the API, and answers get delivered where your team already works. Where you ask is where the answer shows up.
Telegram · Discord · Slack · API