Educationrevolution Company Profile

The Alternative Education Resource Organization (AERO) was founded in 1989 by Jerry Mintz. ... Write to info@educationrevolution.org or call the AERO office at ( ...

Industry: Nonprofit

Segment: Foundation/NGO

Competitors: eudec.org

Generated by Kustiq, an AI company intelligence platform for B2B teams. Multi-stage pipeline: AI classification + live web scraping + SMTP-verified contacts + 12-factor rule-based churn engine.

Company profile

Educationrevolution

The Alternative Education Resource Organization (AERO) was founded in 1989 by Jerry Mintz. ... Write to info@educationrevolution.org or call the AERO office at ( ...
Educationrevolution logo

AI-verified profile

The Alternative Education Resource Organization (AERO) was founded in 1989 by Jerry Mintz. ... Write to info@educationrevolution.org or call the AERO office at ( ...

Founded

1989

AI Classification

NonprofitFoundation/NGO

ERA (Education Revolution) is a nonprofit that develops and distributes the Life Discovery Classroom, a free life-skills and career-readiness curriculum targeting high school students with plans to expand to middle school. Currently in pilot phase across 10 schools in 3 states, funded by $4M+ in invested capital.

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Competitors

eudec.org

Educationrevolution is profiled by Kustiq, an AI company intelligence platform for B2B teams. Educationrevolution is one of 74 foundation / ngo companies in our Nonprofit directory.

How Kustiq built this profile

Hybrid pipeline: deterministic verification + Claude reasoning

  • Live web rendering via Browserless headless Chrome, not a stale cached scrape.
  • Search intelligence via Serper API across {company site, LinkedIn, press, GitHub}.
  • Claude Sonnet 4.6 classifies vertical, segment, and growth signals; never used for facts.
  • 12-factor churn engine produces a deterministic risk score with zero LLM calls at scoring time.
  • SMTP RCPT TO handshake verifies every contact at delivery time on full profiles (paid plan).

Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.

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