two layers
doing the work.
two layers. one running underneath everything, structuring what your company knows. the other exposing it to every AI tool your team uses.
one memory.
every surface.
click any node. the divider pulses. the retrieval layer reads from the same memory every ingestion source writes into.
multimodal capabilities.
multimodal inputs are handled natively. text, images, video, audio. contracts, decks, scanned documents, and meeting recordings become queryable content.
documents, notes, messages
contracts, memos, slack threads, notion pages — all parsed, linked, and cited.
screenshots, diagrams, scans
scanned documents, whiteboard photos, and product screenshots become queryable.
recordings & demos
recorded calls and product walkthroughs get transcribed, summarised, and indexed.
voice notes & dictation
voice memos and podcast clips flow into the same knowledge layer as text.
contracts, decks, reports
layout-aware parsing pulls structure from pdfs — tables, clauses, figures.
transcripts with speakers
who said what, when. decisions and commitments surfaced and linked to the account.
every layer is open.
markdown repo as source of truth. postgres with vector search for retrieval. open standards for the interface. every layer is open. no proprietary lock-in. you can take the knowledge layer with you if you leave.
product & tech.
how is this different from a rag setup or an internal wiki?
rag re-derives knowledge on every query. a wiki sits until someone updates it. the knowledge layer compiles once, keeps current automatically, pre-builds cross-references, flags contradictions at ingest, and compounds over time.
what does the underlying architecture look like?
markdown repo as source of truth, postgres with vector search for retrieval, open standards for the interface. every layer is open. no proprietary lock-in. you can take the knowledge layer with you if you leave.
can it read pdfs, images, and meeting videos?
yes. multimodal inputs are handled natively. text, images, video, audio. contracts, decks, scanned documents, and meeting recordings become queryable content.
see it on your sources.
90 minutes with your leadership team. we map your sources, your AI usage, and the three queries that would move the needle most. you walk out with a scope and a written plan within 48 hours.