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ERIC Company Profile

The National Library of Education was founded in 1994, and ERIC transferred there in 1995. ... https://files.eric.ed.gov/fulltext/ED300031.pdf.

Industry: Education

Team size: 1-10

Competitors: qualres.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

ERIC

The National Library of Education was founded in 1994, and ERIC transferred there in 1995. ... https://files.eric.ed.gov/fulltext/ED300031.pdf.
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AI-verified profile

Last verified 19 days agoRe-runs every 24h · ISR cache
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kustiq.com/company/files.eric.ed.gov · cite this page

The National Library of Education was founded in 1994, and ERIC transferred there in 1995. ... https://files.eric.ed.gov/fulltext/ED300031.pdf.

Founded

1994

Employees

1-10

Pricing

Public pricing page

AI Classification

Education

No deep intelligence yet

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Social Links

Linkedin

Competitors

qualres.org

ERIC is profiled by Kustiq, an AI company intelligence platform for B2B teams. ERIC is part of our Education directory. Similar profiles include No code browser automation & web scraping, Creators, AdPlexity, and Serverless AI infrastructure | Cerebrium.

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.

Frequently asked questions

Is this profile actually verified, or AI-guessed?
The structured fields come from a hybrid pipeline. Facts (location, employee range, funding, tech stack) come from live web rendering plus Serper search across the company site, LinkedIn, press, and GitHub. Claude Sonnet 4.6 only classifies the categorical fields (vertical, segment, growth signal) and never decides facts. Contact emails on full profiles pass an SMTP RCPT TO handshake at delivery time.
How is this different from a contact database?
Kustiq profiles one company at a time and re-runs every 24h. Tools like Apollo and ZoomInfo rent access to a 50M+ row pool that ages every quarter. Different shape, different price, different freshness contract.
What does "track this profile" do?
Tracking saves ERIC to your free dashboard, re-runs the pipeline every 24h, and alerts you when buying signals or pain signals change. Free tier covers 3 tracked companies/week with no card.
Can the profiled company remove this page?
Any company in the Kustiq directory can request removal at /trust#removal. Removed profiles return 410 Gone and stay out of search.
How fresh is the data?
ERIC was last verified 19 days ago. The page re-runs through ISR every 24h and the SMTP handshake on contact rows is performed at delivery time, not at cache time. The freshness card above the profile shows the exact relative date for the current visit.
Why is some contact info hidden?
The first row in Recommended Contacts shows a real title plus department from public sources. The second row is blurred because the verified email, the contact's name, and the custom opener are part of the full profile. Sign up free to unlock the full Recommended Contacts row for ERIC and three companies a week. No card required.
Part of 3,020 AI-profiled B2B companies

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