IKI AI

Iki is a personal knowledge assistant that turns scattered reading, notes and bookmarks into an organized, AI-searchable “second brain”. After a one-click import from Pocket, browser, PDFs or local files, the platform parses every article, paper or tweet thread into semantic units, applies vector embeddings and builds a private graph so users can ask natural-language questions across their own corpus and receive cited answers in seconds.

Key features include:
– Instant AI search: conversational queries surface exact paragraphs, figures or authors, ranked by relevance and timestamp.
– Collective reasoning: every answer links to source blocks; users can continue the thread, add margin notes or let the system suggest follow-up questions.
– Semantic graph: entities, topics and citations are auto-linked, letting users visualize idea networks and spot knowledge gaps.
– Frictionless capture: browser extension, iOS share sheet, e-mail drop and Zapier integrations push new content directly into the graph without manual tagging.
– Privacy-first architecture: documents are encrypted at rest, vector indexes stay on user-controlled storage, and no data is used to train public models.
– Collaborative workspaces: teams can merge individual graphs into a shared knowledge base while keeping personal annotations private.
– Continuous learning: the assistant monitors newly saved items and pushes daily “resurface” digests that connect fresh material with older, related insights.

Together these capabilities make Iki a single place where solo researchers, students and product teams alike can store, interrogate and grow their expertise without re-reading or re-googling.