Reality leaves trails. We make them provable.
Thousands of signals. One truth. No blind spots.
Reconstructing real-world events from documents, satellite imagery, filings, shipping data and signals.
Used for finance, legal investigations, supply chain ops, and risk management.
RippleXn
Evidence Reconstruction Engine
Provable Timeline
Decision
Reserve. Settle. Defend. Proceed.
The evidence already exists. It's scattered.
Eight source types. Conflicting timestamps. No single owner. Until they're unified, the chronology is a guess — and the exposure is real.
RippleXn reconstructs the chronology decision-makers never saw.
We reconstruct the chronology.
You defend the decision.
Reality → Reconstruction → Decision
Reality
RippleXn Reconstruction Engine
Chronology · Provenance · Signal Alignment
Aligned Timeline
Our Evidence Reconstruction Engine ingests thousands of messy pieces — from satellites to internal chats — and builds provable timelines that show what really happened, and when.
Guessing is expensive. Proving is cheap.
Finance & Investments
Reveal what was known — and when — before closing any deal.
Legal & Investigations
Build defensible chronologies across massive document sets.
Supply Chain & Ops
Reconstruct disruption timelines with multi-source evidence.
The Problem
Serious decisions depend on when something actually began.
But most organisations rely on incomplete timelines.
Reality happens first. The story people tell comes later.
The difference between them is where risks hide — and where money disappears.
The world throws thousands of signals at you — docs, filings, satellite pings, emails, media noise, transcripts. Humans can't align them.
Gaps kill decisions.
Unified Evidence
We ingest what decision-makers actually face. Not a cleaned-up summary.
VDR documents, filings, government reports, hearings, transcripts, correspondence, and independent signals — bound to a single chronological record.
Primary ingestion is client-provided evidence. Supplementary public sources are added where required for reconciliation.
The Method
Every reconstruction is hash-verified, source-linked, and export-ready.
Ingest
Unified ingestion across all signal types.
Reconstruct
Vector alignment detects divergence. Every marker linked to source, timestamp, hash, and vector score.
Deliver
Export defensible evidence packs ready for board reports, legal proceedings, regulatory filings, and investor due diligence.
RippleXn transforms scattered information into structured decision outputs.
Different teams use these outputs in different ways — from procurement and infrastructure to insurance and regulatory monitoring.
Chronologies
Reconstructed event timelines across documents, filings, reports, and signals. See what happened, when, and how situations evolved.
Multi-Party Event Maps
Structured views across companies, governments, regulators, insurers, and contractors. See who said what, when, and how positions changed.
Comparisons
Align large documents — proposals, contracts, reports — to quickly surface differences, omissions, contradictions, and agreements.
RFP & Tender Analysis
Structure supplier submissions to show deviations from requirements, missing answers, and how pricing assumptions differ.
Conflict Detection
Highlight where statements conflict, assumptions change, or key facts do not align across different documents.
Structured Search
Search across the entire information landscape. Ask questions and receive structured answers from multiple sources.
Data Access & APIs
Integrate structured outputs into dashboards, reporting systems, compliance tools, and analytics platforms.
Evidence Packs
Structured bundles combining documents, timelines, comparisons, and supporting signals for external submission.
Chronologies are only one output. RippleXn structures complex information into multiple decision-ready formats.
The System
Every source. One temporal schema. Queryable divergence.
A single evidence store with integrity verification, extraction, and tenant-isolated search — producing chronology-first outputs reviewed by humans, not generated by guesswork.
Unified Data Model
Every ingest point maps to a universal temporal schema.
Queryable Truth
Directly query for narrative/evidence divergence across any period.
// Initialize analysis core
const rxn = await RippleXn.init();
// Query for divergence
const result = await rxn.query({
entity: "supplier_7821",
scope: "CHRONO_ALIGNMENT"
});
// Result
{ "status": "MISALIGNMENT_DETECTED", "confidence": 0.94 }Timeline Reconstruction
Drag the slider or press play to reveal the evidence
The difference between these timelines determines liability, exposure, and accountability.
The evidence you present must withstand the scrutiny it exposes.
Use Cases
Reconstruct reality. Defend the decision.
Each scenario below is anonymised and synthetic. Click through the timeline to see how scattered multi-source signals converge into a single, provable chronology.
Supply Chain Disruption
Multi-source reconstruction of delivery failure
The narrative you're told
"Sudden, unforeseeable event on day zero."
The evidence you can prove
Satellite clustering, vessel hesitations, and media signals appeared weeks before the official declaration.
Chronological evidence timeline
T–45d
Satellite anomaly detected
T–21d
Vessel hesitations logged
T–12d
Media signals ignored
T–5d
Supplier slowdowns begin
T‑0
Incident confirmed
T+1d
Force majeure declared
Illustrative demo using anonymised, synthetic / public-domain-inspired signals. Not real-time analysis or advice.
Private Demo
See the evidence in motion.
We'll reconstruct a scenario relevant to your portfolio in a private walkthrough.
When the timeline is wrong,
the allocation is wrong.
The gap is already in your data. The question is whether you see it before someone else does.
Ready to stop guessing?