AI-Native Internal Research Knowledge Base for Firms

C7/10June 8, 2026

WhatA system that ingests all of a firm's research output, organizes it with AI, and enables semantic search, comparison, and reuse across projects — replacing the pattern of starting fresh in every new AI conversation.

SignalKnowledge workers at firms describe the painful pattern of producing large amounts of valuable research and analysis but losing it across disconnected AI chat sessions, constantly re-explaining context and re-doing work that was already done in a prior conversation.

Why NowEnterprises have rapidly adopted conversational AI for research and analysis, but the ephemeral nature of chat sessions means institutional knowledge is being created and immediately lost at unprecedented scale — this is a new problem created by AI adoption itself.

MarketConsulting firms, law firms, research organizations, and any knowledge-intensive business; $500-2K/mo per team; competes with Notion AI and Glean but differentiated by focusing specifically on research reuse rather than general search.

MoatThe proprietary research corpus and AI-generated organizational structure become deeply embedded in firm workflows; data network effects as more research is added and cross-referenced.

Ask HN: What are tools you have made for yourself since the advent of AI? View discussion ↗ · 372 pts · June 8, 2026

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