AI Knowledge Assistants
Turn scattered internal documentation into a searchable, cited assistant your team can actually query.
Most organizations have real institutional knowledge — case studies, internal wikis, past decisions, process documentation — that's technically written down and practically unfindable. An internal knowledge assistant built on retrieval-augmented generation turns that archive into something people actually use: ask a question in plain language, get an answer grounded in your own content, with a link back to the source document.
We build these with access control that matches your existing permissions — an assistant shouldn't surface content a given user couldn't already see — and with clear indicators when the system is uncertain, rather than a confident-sounding guess.
Representative outcomes
Faster access to institutional knowledge
Answers instead of a search through scattered documents.
Reduced onboarding time
New team members can query internal knowledge directly instead of relying on tribal knowledge.
Traceable answers
Every response links back to its source document.
Delivered through
Related work
Relevant industries
Ready to talk through your project?
Tell us what you're building. We'll tell you honestly whether it's a good fit.