Transparency

Every entry in this directory is independently researched, verified against multiple sources, and audited on a regular schedule. Here is exactly how it works.

How It Works

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224 published entries

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Every entry is researched against primary sources and needs at least 3 independent credible ones before it is published. 2 of 226 currently fall short and are held back — listed openly on the audit dashboard rather than hidden. No self-reported data.

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Weekly AI audit

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An AI agent scans primary sources — company websites, EU project databases, arXiv, and major tech press — every week to flag stale data and propose updates for human review.

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A bar, not a score

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There is no confidence grade to interpret. Each entry shows what it rests on: how many independent credible sources it carries, and when each was last accessed. An entry that drops below the bar leaves the listings until the sources are found — the bar is never lowered.

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AI + human review

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Full transparency means every change is attributed — AI suggestions are logged, human decisions are recorded in git history. The complete audit trail is public and permanent.

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Rolling re-verification

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Each weekly sweep takes a fixed slice of the directory and re-reads every source on it, so the whole directory cycles roughly monthly. Each run is dated and public, including the entries it could not complete.

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Open methodology

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The curation protocol, source requirements, confidence rubric, and audit schedule are all documented and public. Anyone can read exactly how this directory is built and maintained.

Our Process

01

Research

Primary sources are identified: official websites, EU project databases (Quantum Flagship, EuroHPC), peer-reviewed papers, and major tech press. No self-reported data is accepted at face value.

02

Verify

Every entry requires at least 3 independent credible sources — self-published pages, press-wire syndication and company releases beyond the first do not count toward the bar. Citations carry DOI links where available, and each source records the date it was accessed.

03

Audit

An AI agent runs weekly scans to detect stale entries, new publications, and changed company status. Proposed changes are queued for human review with full reasoning.

04

Review

A human editor reviews all AI-proposed changes, approves or rejects each one, and commits to the repository. The complete decision log is retained in git history.

Explore

The full integrity trail — directory health, data-quality metrics, and a dated record of every automated sweep, including source cross-checks and credible-source coverage. All public, all verifiable.