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Nonprofit / Research

Turning Years of Buried Research Into Insights Anyone Can Access

Years of cultural research were trapped in dense reports, so we made the entire body of work conversational, contextual, and useful to every team.

The Challenge

Dozens of sociological studies, surveys, and qualitative findings were scattered across academic-style documents nobody had time to read.

Staff defaulted to gut feelings or the same three statistics because finding new data meant halting real work for hours.

Even researchers struggled to see patterns across their own work, limiting strategic insight and slowing onboarding.

What We Built

An AI-powered research interface that ingests the full archive and models methodologies, demographics, time periods, and findings.

Interaction modes tailored to each user: development pulls citable stats, the CEO preps speeches in real time, researchers explore emergent themes.

Memory Engine grounding that synthesizes relevant studies instead of returning a dump of PDFs to review later.

The Transformation

Before

  • Research findings were scattered and effectively invisible.
  • Pulling a statistic meant halting real work for hours.
  • Fundraising rarely referenced the organization's own data.
  • The CEO reused the same handful of stats for every talk.
  • Researchers could not see patterns across studies.
  • Institutional knowledge walked out the door during staff transitions.

After

  • Any staff member can query years of research in natural language.
  • Development directors pull relevant findings while drafting outreach.
  • The CEO prepares with real-time data tailored to each audience.
  • Researchers surface new insights by exploring thematic connections.
  • Onboarding accelerates because context is explorable on day one.

Results

  • Research referenced in 25% more donor communications.
  • Time to find relevant data dropped from 2 hours to 30 minutes.
  • 18 new insights surfaced that informed strategy.
  • Staff onboarding time reduced by 20%.
  • Executive talks now feature 4 unique data points instead of three.

Why It Worked

We treated themes, audiences, and time horizons as first-class data so the system retrieves answers the way researchers think.

Role-aware experiences mean every team gets the fidelity they need without learning a new workflow.

Ready to build?

Custom solutions for a complex world.

If you see your challenges in this story, let's talk about a tailored solution for your organization.

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