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ARIADNE
Digital investigation, traceable evidence, operational intelligence
Cyber Investigation Platform

Turn document chaos into actionable intelligence.

ARIADNE analyzes PDFs, extracts entities, maps relationships, builds timelines, and locates evidence through smart search. When an investigation requires identity and context, the facial engine links detections to exact file and page references.

PDF Indexing Facial Recognition Relationship Graph Investigative Timeline Heuristic Alerts Exportable Dossier
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Licensing and pricing

All prices shown as base + VAT (23%) with total including VAT.

Perpetual License (No Support)

12.000 € + VAT (23%)

VAT: 2.760 €

TOTAL incl. VAT: 14.760 €

Annual License (No Support)

6.000 € + VAT (23%)

VAT: 1.380 €

TOTAL incl. VAT: 7.380 €

Semiannual License (No Support)

3.500 € + VAT (23%)

VAT: 805 €

TOTAL incl. VAT: 4.305 €

Monthly License (No Support)

1.500 € + VAT (23%)

VAT: 345 €

TOTAL incl. VAT: 1.845 €

Core capabilities

From initial parsing to final reporting, the platform prioritizes evidence traceability and contextual relevance.

Forensic ingestion and indexing

Processes PDF documents page by page, records hashes for incremental re-indexing, and preserves a searchable store linked to original source files.

Faces Intelligence

Facial recognition with file/page-linked occurrences and confidence scores. Supports known-face management and co-occurrence analytics.

Smart search with citations

Natural-language querying, structured answers, and citation tables with score, snippet, and navigable proof.

Recommended workflow

Operational sequence to reduce noise and increase investigative accuracy.

1

Build Database

Ingest PDFs and create the baseline investigation index.

2

Alerts and Relationships

Prioritize automated signals and map links around target entities.

3

Smart Search and Timeline

Validate hypotheses with textual and temporal evidence.

4

Dossier

Consolidate notes, lock evidence references, and export a final report.

Evidence First No Guesswork Audit Trail Human Validation

Platform modules

Architecture split by operational tabs, with direct opening of selected evidence.

Ingestion and Indexing

Full build, incremental re-indexing, and face-scan control during ingestion.

Relationships

Configurable-depth graph and edge table with source, target, type, weight, and confidence.

Faces Intelligence

Known-face management, evidence-linked occurrences, and co-presence statistics.

Smart Search

Natural-language questions, structured answers, and verifiable file/page citations.

Timeline

Temporal analysis by date, type, and entity to validate event sequence and narrative.

Alerts

Heuristic signals with operational states: open, closed, false positive, and reopen.

Dossier

Investigative report assembly with linked evidence and export output.

Settings

AI provider selection, API key when applicable, and runtime diagnostics.

Open Selected Evidence

Immediate access to original proof at the exact PDF page, with zero ambiguity.

Infrastructure and persistence

Data and outputs organized for continuous operation and controlled backup.

Operational structure

The files/ folder next to the executable is the PDF intake point. The engine preserves dedicated storage for primary database, exports, and facial database in separated layers.

AI mode

Supports Local AI and OpenAI AI. When cloud mode is selected, token usage follows external platform billing.

Real limits and usage discipline

Facial recognition and relationship inference require human validation against visual and textual proof.

False positives are real

The platform supports investigation. It does not replace human judgment or autonomous conclusions.

Performance is hardware-dependent

Local processing on weak CPU/GPU will be slower. Operational planning is not optional.

Practical rule

Index first, correlate second, always validate in original evidence before deciding.