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Sentinel prototype

公開証拠を権力のループとして可視化。

Sentinel turns public records, official sources, historical documents, and market/policy data into evidence-graded loops, showing what is connected, what is missing, and what supports each link.

What is a loop?

Sentinel shows how people, companies, money, policy, and events may connect - and where the evidence is strong, weak, missing, or contested.

actorscompaniesmoneypolicyeventsbenefitsstakes

Try now

Start with live prototype surfaces.

These are artifact-backed demos. They show the product model without live AI, live ingestion, or hidden internal routes.

How Sentinel scales

Watch broadly, go deep selectively.

Sentinel does not research the whole world all the time. It watches broadly, remembers weak signals cheaply, and launches deeper loop analysis only when a signal strengthens, a user asks, or a historical backfill is triggered.

Daily watch

Finds weak signals and creates event seeds.

Triggered investigation

Expands a user question into scoped loop analysis.

Backfill

Rebuilds historical events as better data and better models become available.

Why trust it?

The product is built around restraint.

Sentinel is designed to show evidence posture before conclusions. Open links are product output, not failure.

Every link carries evidence status

Missing links are shown, not hidden

Modern loops require modern structured evidence where available

Historical loops use retrospective official and archival records

AI proposes candidate edges but does not decide truth

No loop closes without source-backed evidence