SignalWeave
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Developed by Forelith

Data fusion & decision support

SignalWeave

A shared picture.
A traceable source.

SignalWeave brings operational support reports into a shared, traceable view. Reconcile conflicting information, inspect the source evidence and review AI-assisted briefings before acting.

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The problem

More reports do not always
mean more clarity.

Different sources may describe the same equipment, service or supply need. A correction may arrive after a conflicting report. A concise summary can hide the detail a receiving coordinator needs to check.

SignalWeave connects these reports in a single review workflow, covering equipment condition, service continuity and non-patient supplies across six support-reporting profiles.

How SignalWeave works

Keep the evidence
in the picture.

From the original report to a reviewed handover.
Every step keeps the source in view.

  1. 1

    Preserve the source

    Keep the original observation and its context when a report enters the system.

  2. 2

    Reconcile the picture

    Use observation times and explicit corrections. Leave unresolved contradictions visible.

  3. 3

    Review the interpretation

    Optional AI assistance can propose a briefing or priority with references to source reports.

  4. 4

    Keep the person in control

    A person checks the evidence. AI suggestions cannot approve or release a report.

The reporting workspace

Inspect the reports
behind the view.

The reconciled-picture interface groups reports by subject and exposes the available source evidence.

This reporting view shows SignalWeave 0.6 with synthetic scenario data.

View full interface image
SignalWeave 0.6 reporting interface showing a reconciled picture of synthetic air ground-support reports
SignalWeave 0.6 · Synthetic demonstration data

Connected capabilities.
One reporting workflow.

Demonstrated across six synthetic support-reporting scenarios, with English and French interfaces, role-based review and queued delivery for interrupted connections.

Source-preserving ingestion, reconciliation, evidence-linked AI advice and approved message exchange connect the original report to the receiving workflow. Human review stays in control of approval and release.

Interested in the project?

Explore the platform, discuss an integration or start a collaboration.

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