RippleXn is a decision infrastructure system that reconstructs chronological evidence across documents, satellite imagery, regulatory filings, media, and internal communications to surface narrative divergence in high-stakes procurement, due diligence, and regulatory decisions.

What types of evidence does RippleXn analyse?

RippleXn ingests 10 source types: VDR disclosures, regulatory filings, government reports, press/OSINT, video transcripts, audio transcripts, email/internal comms, satellite/remote sensing, public records, and client system exports.

How much does a RippleXn engagement cost?

Engagements are project-based and typically range from £25,000 to £150,000+, depending on data volume, time horizon, entity complexity, urgency, and output requirements. RippleXn does not offer monthly subscriptions.

Is the analysis fully automated?

No. Every reconstruction undergoes multidisciplinary human forensic review before export. Divergences flagged by automated systems are validated by a second reviewer. Final reports carry a named review signature, not a model confidence score.

What industries use RippleXn?

RippleXn serves organisations involved in procurement (public and private), corporate due diligence (M&A, PE, infrastructure), and audit/legal review where chronological evidence integrity is critical.

RippleXnDecision Infrastructure

Unified Evidential System

Nothing looks wrong — until you look over time.

Decisions are made on static information. Reality evolves independently. RippleXn reconstructs the timeline — so you can test whether the story holds.

Explore sample timeline Request scope discussion

System Trace: Entity_7821RECON_MODE

Alignment change observedT + 14m

Remote sensing indicates site activity inconsistent with stated operational position.

Interactive scenario

Move forward in time

Explore an example: evidence layers feeding a chronological record, with alignment and uncertainty shown explicitly.

Request scope discussion

Current point

T0: Narrative base established

2021-03-10

Alignment: PartialUncertainty: ElevatedHuman review: Pre-export

T0T1T2T3T4

Record at T0

Reported

Supplier asserts compliance and completed capacity expansion.

Observed

Baseline satellite captured. Company filings current. Trade press echoes supplier claims without independent verification.

Missing / verification requirement

Independent confirmation of expansion completion.

What changed

Verification requirement surfaced: Independent confirmation of expansion completion.

Evidence layer

Procurement portal • 2021-03-10 • RXN-1421

Supplier RFP response: capacity and compliance statement

Supplier asserts capacity expansion completed in Q4 and full compliance with requirements.

reported

Unified Evidence

We ingest what decision-makers actually face.

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.

VDR / Disclosures (PDFs)

Regulatory Filings & Registers

Government Reports & Hearings

Press / OSINT / Chronology Signals

Video Transcripts (Hearings, Media)

Audio & Call Transcripts

Email / Teams / Internal Comms

Satellite / Remote Sensing

Public Records

Client Systems / Export Feeds

The System

One system. Multiple sources. One timeline.

A single evidence store with integrity verification, extraction, and tenant-isolated search — producing chronology-first outputs supported by human review.

Unified Data ModelEvery ingest point maps to a universal temporal schema.
Queryable TruthDirectly query for narrative/evidence divergence across any period.

Forensic Review Layer

Outputs assembled under human forensic review before export.
Designed for environments where statements may be tested later.
Evidence indexed, traceable, and reproducible.
Human forensic analysts validate critical divergences before delivery.

// Initialize analysis core

const rxn = await RippleXn.init();

// Query for divergence

const result = await rxn.query({entity: "supplier_7821",scope: "CHRONO_ALIGNMENT"});

{ "status": "MISALIGNMENT_DETECTED", "confidence": 0.94 }

Situations

A system for every high-stakes decision.

Scenario Context

Supplier 12% cheaper than market baseline.

Reconciliation shows cost advantage is built on unpriced environmental liability detected via remote sensing.

System Output

"Price reflects deferred exposure."

Request full record

Sync Gaps

Temporal Model

Evidence Source Types

Architecture

Built as a unified system.

No separate systems to reconcile. We treat every data point as a node on a single temporal graph. This ensures consistency from ingest to board-ready export.

Method Trust

Multidisciplinary forensic review before final export.
Outputs designed to withstand board, audit, arbitration, or cross-examination.
Privilege-aware workflows and reproducible evidence chains.
Evidence indexed across all source types with full provenance.
Human analysts validate critical divergences before delivery.
No autonomous conclusions: every output is reviewed, not generated.

Human Review Process

Every reconstruction is reviewed by a senior analyst before export.
Divergences flagged by automated systems are validated by a second reviewer.
Final reports carry a named review signature, not a model confidence score.
Escalation paths exist for material ambiguity or privilege-sensitive findings.

Developed from engagement across forensic signals intelligence, multi-jurisdiction diligence, and regulatory advisory environments. Team backgrounds span government intelligence, Big Four forensic, and specialist litigation support.

If you have to stand over the decision, you should be able to stand over the evidence.

Explore Sample Timeline Request Confidential Mandate

Engagement

Begin a confidential discussion

Every engagement starts with a scoping conversation. Describe the decision environment and we will outline what a reconstruction would involve.

hello@ripplexn.com

Location

London, United Kingdom