A continuous evidence workspace that maps reviewed AI features, data flows, users, decisions, vendors, and releases to versioned education, child-privacy, and AI authority sources.
Genesis score7.22/10
Make EdRadar real.0/500
500 more votes and EdRadar is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
0Direct continuous edtech peers found
3Adjacent products confirmed
0Automatic legal classifications
The case
Edtech vendors operate across education, child privacy, student records, product safety, and AI regimes that classify features by actual use and impact. EdRadar links a controlled feature inventory and data-flow map to current authority sources, then treats changelog and system events as reassessment triggers. It never decides high-risk status, generates a legally sufficient conformity assessment, assumes a bill or guidance is binding, infers actual behavior from release notes, or replaces counsel, privacy officers, educators, security, and qualified testing.
Who pays — and why
Edtech product, legal, privacy, security, compliance, responsible-AI, procurement, and executive teams shipping AI features across multiple jurisdictions.
What it unlocks
A feature inventory for product, version, owner, intended purpose, actual deployment, user, age range, institution role, decision affected, model, data source, output, action, human oversight, and prohibited or unsupported use
A data and vendor map for student, child, guardian, educator, employee, sensitive categories, collection, purpose, notice, consent or school authorization, sharing, subprocessor, retention, deletion, security, and cross-border flow
An authority corpus preserving jurisdiction, instrument, section, status, publication, enactment, effective and enforcement dates, applicability, amendment, guidance, source hierarchy, interpretation owner, and supersession
Change triggers from release, configuration, model, prompt, data, vendor, interface, policy, incident, authority, and customer use followed by impact review, gap, evidence request, test, owner, remediation, decision, and correction
How Genesis scored it
7.22across seven criteria
9
Temporal window
Current European and child-privacy dates create a strong review window.
8
Asymmetric leverage
A maintained feature-to-authority corpus scales across vendors.
5
Convergence
One cross-reference and two inbound links show modest repetition.
Why it scored well
A dense current education-AI policy wave and three adjacent products validate demand, while no continuous edtech-specific monitor appeared in the supplied search.
What's holding it back
Legal status and applicability are complex, both integration capabilities are unverified, product changelogs are incomplete, and general compliance vendors can specialize.
Signals detected4 sources crossed
Signalregulatory research carried in Genesis
Signalregulatory research carried in Genesis
Signalcompetitor research carried in Genesis
SignalGenesis competitive and technical evidence
Direction briefedradar.md
edradar.md
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