Build deeper research understanding by connecting sources into one narrative. A second brain for evidence synthesis, stakeholder positions, and policy tradeoffs so policy analysts can develop stronger synthesis from research material without losing source context.




The Problem
Neuron pages for policy analysts are written around real memory pressure, not generic productivity advice.
Policy evidence is high volume, but argument chains are difficult to preserve over time.
Stakeholder context fragments quickly, slowing high-quality recommendations under deadlines.
You need rapid recall of sources and tradeoffs to write with confidence and precision. Research quality stalls when source context is captured but never meaningfully connected.
The Solution
Capture Connect Recall Retrieve
Capture briefing notes, source summaries, and legislative analysis in seconds so citations and insights remain tightly linked from the start.
Map relationships across evidence synthesis, stakeholder positions, and policy tradeoffs so themes and contradictions are visible as your research corpus grows.
Generate active recall prompts like "Which evidence source most strongly supports this policy recommendation?" to reinforce key insights before they disappear into reading backlog.
Retrieve the right context before policy brief deadlines and stakeholder consultations 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 briefing notes, source summaries, and legislative analysis in one place so retrieval is dependable instead of scattered.
It reframes evidence synthesis, stakeholder positions, and policy tradeoffs into prompts that match the way policy analysts actually think and execute.
It strengthens recall before policy brief deadlines and stakeholder consultations, 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.