Search management software and knowledge management search engine that turn every doc, wiki and chat into cited answers

InSearch is knowledge management software focused on the retrieval half. It connects your existing tools, Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce, and answers questions from them directly with inline citations, so your knowledge is usable at the moment of need rather than only well-filed. It is permission-aware and never trains on your data, so the whole company can use it safely.

Most knowledge management projects fail in the same place, and it is not the software. A team picks a tool, migrates a few hundred documents, writes a taxonomy, and declares the problem solved. Eighteen months later the wiki has drifted, half the real answers live in Slack threads and email, and the search box returns forty results ranked by nothing useful. The storage got better. The finding did not. That gap is why the average knowledge worker still interrupts a colleague rather than searching, and why the same five questions get asked in the same channel every quarter.

The shift that actually changes the outcome is treating retrieval as the product. Instead of asking people to know where something lives, you let them ask the question in plain language and get a written answer with links to the exact source documents behind it. That works across tools rather than inside one, which matters because company knowledge is not centralized and never will be. A policy decision lives in a Google Doc, its rationale lives in a Slack thread, the implementation detail lives in a Jira ticket, and the customer-facing version lives in Confluence. Any system that only reads one of those returns a partial answer.

Citations are the difference between a system people adopt and one they abandon. An unsourced answer about parental leave or an expense threshold is not usable, because the person reading it cannot act on it without checking anyway. When every claim links to the document it came from, verification takes five seconds instead of five minutes, and trust compounds. It also means a wrong answer is visibly wrong, so stale documents get found and fixed rather than quietly repeating themselves.

The last piece is access control. A knowledge system that reads across your whole company inherits your whole company's permission model, including the parts that are messy. InSearch inherits item-level permissions from each connected source and enforces them live at query time, so each person only ever sees what they could already open. Nothing is copied into a shared index that ignores the original controls, and a revoked permission takes effect immediately rather than at the next scheduled sync. That is what makes it safe to point at HR, finance and legal content rather than only at the engineering wiki.

Traditional knowledge management assumes someone curates a central library, an assumption we test in knowledge base versus enterprise search. Searching what already exists is often the faster path, through company knowledge base search or company-wide internal knowledge search. Buyers costing this out usually start by pricing the incumbent, which is what our Glean pricing breakdown covers.