Automatic extraction
A pipeline classifies new material, such as interviews or project data, into knowledge types like capability, process, policy or insight.
The most valuable knowledge in a company is written in no document, it lives in the experience of the people who work there. Knowledge search makes exactly that retrievable, traceable and with sources.
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A pipeline classifies new material, such as interviews or project data, into knowledge types like capability, process, policy or insight.
Every finding gets a confidence score, and a language model checks whether it's genuinely new or extends something that already exists.
Every knowledge item stays linked, through its own source relation, to the interview, document or project it came from.
Learnings from past projects are findable instead of buried. Mistakes stop repeating, successes start to.
The unwritten knowledge of experienced colleagues is available from day one, not after years.
Experience stays a company asset: what your teams have learned does not leave with individuals.
Every answer points back to the cards it's based on, including a confidence score and its origin.
Gap detection exists technically. Triggering an interview from it today happens in a targeted way, not fully automatically.
Document search finds files. Knowledge search gathers experience from interviews and projects that isn't written down anywhere.
Capture knowledge before it's lost.
Knowledge that captures itself.
Traize where you already work.
Ask questions, retrieve knowledge. Contextual, secure, in real time.
The right person for every question. Across your entire company.
Every document. Found instantly.