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Ecosystems · São Paulo, Brazil

Twelve years of institutional memory, one question away

Endeavor Brazil

The Challenge

Endeavor Brazil runs over twenty acceleration programs a year at the center of Latin America's most influential entrepreneurship ecosystem. Twelve years of meeting notes, mentor feedback, evaluations, and sector intelligence had accumulated — locked in databases, documents, and the memories of long-tenured staff. Preparing for a founder meeting meant manual digging or knowing whom to ask.

The Deployment

One of the earliest practical RAG implementations in the Brazilian market: twelve years of institutional records were processed into a unified knowledge layer — indexed, semantically structured, and accessible through natural-language queries.

A program director preparing for a founder meeting surfaces every prior interaction in seconds. A mentor walks in knowing the company's full history. Leadership finds patterns across cohorts and sectors that used to take weeks of research. Institutional knowledge stopped being an archive and became a colleague you can ask.

  • RAG-based knowledge intelligence system (early Brazilian-market implementation)
  • Twelve years of institutional data ingested and semantically indexed
  • Natural-language query interface for organizational knowledge
  • Founder, mentor, and program intelligence layer
  • Cross-cohort pattern recognition
Results
12 yrs
of knowledge indexed
20+
annual programs supported
Seconds
to answers that took weeks
Technology
RAGLarge language modelsSemantic indexingKnowledge architecture