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A. James Clark School of Engineering, University of Maryland Company Profile

The University of Maryland's A. James Clark School of Engineering is proud to celebrate its 125th anniversary in 2019 and an enduring ...

Industry: Education

Segment: Institution

Team size: 1-10

Competitors: umd.blackboard.com Traffic Comparison, UVA, it.gwu.edu, Georgia Tech OOS, UMD in state

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

A. James Clark School of Engineering, University of Maryland

The University of Maryland's A. James Clark School of Engineering is proud to celebrate its 125th anniversary in 2019 and an enduring ...
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A. James Clark School of Engineering, University of Maryland logo

AI-verified profile

The University of Maryland's A. James Clark School of Engineering is proud to celebrate its 125th anniversary in 2019 and an enduring ...

Founded

1994

Employees

1-10

Pricing

Public pricing page

AI Classification

EducationInstitution

The A. James Clark School of Engineering at the University of Maryland is a top-10 ranked public graduate engineering school offering undergraduate, graduate, and doctoral programs across disciplines including mechanical, civil, biomedical, and electrical engineering. It operates research centers, makerspaces, and interdisciplinary institutes serving students, faculty, and industry partners.

Deep Intelligence

Account Scoring

Yellow Churn Risk

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Social Links

Linkedin

Competitors

umd.blackboard.com Traffic ComparisonUVAit.gwu.eduGeorgia Tech OOSUMD in state

A. James Clark School of Engineering, University of Maryland is profiled by Kustiq, an AI company intelligence platform for B2B teams. A. James Clark School of Engineering, University of Maryland is one of 91 institution companies in 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.

Part of 3,020 AI-profiled B2B companies. Browse the full directory