How RippleXn works
From fragmented documents to reconstructed timelines.
The fragmented information problem
Organisations accumulate information across documents, emails, reports, and external sources. When events need to be understood, this information is scattered across systems with no clear sequence.
Document ingestion
RippleXn ingests documents and extracts structured information. The system identifies entities, dates, events, and relationships within each source.
Signal detection
Semantic analysis identifies signals that relate to the same events, even when described differently across sources. Vector search connects related information.
Timeline reconstruction
Signals are assembled into a chronological sequence. The system identifies where narratives diverge, where evidence contradicts claims, and where gaps exist.
Exportable outputs
Generate timelines, evidence briefs, and document packs ready for regulatory, legal, or board-level review.
See it in action
Request a demonstration to see how RippleXn reconstructs timelines from your domain.
Request Demo