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Linewize (part of the Qoria family) — District-wide K-12 digital-usage telemetry at student granularity: per-app and per-website adoption, screen time and 'Share of Screen Time', license inventory and spend, app approval/Data Processing Agreement and security-status history, plus content-aware filter verdicts (allowed / blocked / flagged) on URL, search-term and video requests, and human-reviewed student risk events rated on a 1-5 severity scale across nine risk categories.. Large and unusually broad: tens of thousands of institutions across the US, UK, Australia and New Zealand with roughly …
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District-wide K-12 digital-usage telemetry at student granularity: per-app and per-website adoption, screen time and 'Share of Screen Time', license inventory and spend, app approval/Data Processing Agreement and security-status history, plus content-aware filter verdicts (allowed / blocked / flagged) on URL, search-term and video requests, and human-reviewed student risk events rated on a 1-5 severity scale across nine risk categories.
From 5 yearsCoverage Information TechnologyAsset class Equities
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Linewize (part of the Qoria family) — District-wide K-12 digital-usage telemetry at student granularity: per-app and per-website adoption, screen time and 'Share of Screen Time', license inventory and spend, app approval/Data Processing Agreement and security-status history, plus content-aware filter verdicts (allowed / blocked / flagged) on URL, search-term and video requests, and human-reviewed student risk events rated on a 1-5 severity scale across nine risk categories.. Large and unusually broad: tens of thousands of institutions across the US, UK, Australia and New Zealand with roughly …
Linewize offers (Alternative, Sentiment, Reference) — Est. trillions of request-level log events per year (order of 30M covered students x hundreds-to-thousands of filtered URL/app requests per school day x ~180 school days), of which the durable licensable asset is much smaller: site/app-level aggregated roll-ups plus the flagged-event and rated-risk subset — a nine-district beta of the page-level text analysis alone surfaced thousands of previously undetectable pages..
Training and evaluating child-safety and content-moderation classifiers on minor-authored search and page content with moderator-verified severity labels; jailbreak/circumvention corpora from VPN and proxy bypass attempts; page-level text and image classifiers for explicit and self-harm content; K-12 edtech demand-side intelligence (which apps are adopted, how intensively, at what price, and where spend is wasted); device and browser market-share signals; screen-time and youth wellbeing research; edtech vendor lead-scoring from unapproved-but-high-usage app flags.
The data is with 5 years of history.
Coverage spans US; Application Software; alternative, sentiment, reference; equities.
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