Build deeper research understanding by connecting sources into one narrative. A second brain for decision capture, follow-through context, and stakeholder memory so meeting intelligence can develop stronger synthesis from research material without losing source context.




The Problem
Neuron pages for meeting intelligence are written around real memory pressure, not generic productivity advice.
Important meeting decisions are captured, but follow-through context is frequently lost.
Action items are repeated because prior rationale is difficult to retrieve quickly.
You need a system that turns meeting notes into reliable execution memory. Research quality stalls when source context is captured but never meaningfully connected.
The Solution
Capture Connect Recall Retrieve
Capture meeting summaries, action logs, and decision records in seconds so citations and insights remain tightly linked from the start.
Map relationships across decision capture, follow-through context, and stakeholder memory so themes and contradictions are visible as your research corpus grows.
Generate active recall prompts like "Which decision from last week should change the current execution plan?" to reinforce key insights before they disappear into reading backlog.
Retrieve the right context before cross-functional meetings and execution follow-ups when drafting or presenting requires immediate source-backed clarity.
Pricing
We like keeping things simple. One plan one price.
For power users.
Buy once. Use forever.
FAQ
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Insights, updates and stories from our team.
Why It Converts
It keeps meeting summaries, action logs, and decision records in one place so retrieval is dependable instead of scattered.
It reframes decision capture, follow-through context, and stakeholder memory into prompts that match the way meeting intelligence actually think and execute.
It strengthens recall before cross-functional meetings and execution follow-ups, where context quality directly affects outcomes.
It compounds source-level memory into higher-order synthesis that improves every iteration.
Stop losing hard-earned context. Capture it once, retrieve it on demand, and improve recall every week.