Venture
Research Assistance Nexus (RAN)
Discover unexpected papers. Keep the whole team current.
The problem
Literature review tools often reinforce what you already know how to search for. Teams also lose time re-explaining context, progress, and half-formed insights to new collaborators.
Our approach
RAN combines embedding and citation-graph traversal to recommend papers outside the usual keyword neighborhood - similar in spirit to ResearchRabbit, and built in that direction earlier. Insights, progress, and prior work live in a shared workspace; an onboarding agent summarizes the corpus so new members can catch up without a full verbal brief.
Overview
RAN is a research ops layer: discovery that expands what you find, plus a living workspace for notes, status, and prior decisions. Graph- and embedding-based recommendations surface relevant work you would not have queried for directly. AI onboarding compresses that workspace into briefings so teams spend less time re-teaching context every time someone joins.
Capabilities
What it does
Embedding + citation-graph discovery beyond keyword search
Shared workspace for insights, progress, and prior work
AI briefings that onboard collaborators from the existing corpus
Built for pods that need a durable research knowledge base
Stack