System Operational

Decoding Complexity.
Publishing Truth.

The Aevum Research Lab is the data science and investigative unit driving our coverage. We develop tools to verify claims, analyze massive datasets, and uncover stories hidden in plain sight.

2.4PB
Data Analyzed
14K+
Claims Verified
86
Open Datasets
aevum-core — v4.2.0
➜ ./init_verification_protocol.sh --target="global_climate_summit"
[✓] Protocol loaded. Scanning 14,203 documents...
➜ ./analyze_network --depth=recursive
[INFO] Identifying 324 entities. Cross-referencing with sanctions database...
➜ ./verify_image --hash=0x8f3a...9b2c
[✓] EXIF Valid. No signs of manipulation. Geolocation: 48.8566° N, 2.3522° E.
➜ ./generate_report --format=json

Open Data Query

Access our public datasets programmatically or via this interface.

Public API

Active Investigations

Transparent tracking of our ongoing research projects and methodologies.

🌐
Active
Global Supply Chain Transparency

Mapping tier-2 and tier-3 suppliers for Fortune 500 companies to identify labor violations and environmental risks hidden in complex corporate structures.

Graph DB NLP OCR
Dashboard →
🗳️
Live
Misinformation Network Analysis

Real-time tracking of coordinated disinformation campaigns across major social platforms using bot-detection algorithms and sentiment analysis.

Social Graph API
Dashboard →
🌱
Published
Carbon Credit Verification

Investigation into greenwashing practices. We analyzed satellite imagery against self-reported carbon offsets for 400+ certification bodies.

Satellite GIS
Read Report →
🏛️
Published
Legislative Influence Mapping

Connecting campaign donations, lobbying expenditures, and voting records to reveal the financial interests behind policy changes.

Finance RegEx
Read Report →

Open Source Tools

We build and release the tools we use. Contribute or integrate them into your own workflows.

🔍
SourceCheck AI
v2.4.1 • MIT License

Automated image and video forensics tool. Detects deepfakes, reverse-searches origins, and extracts EXIF metadata in seconds.

  • Reverse image search across 12 engines
  • GAN detection model (99.2% accuracy)
  • Metadata extraction & validation
const result = await sourcecheck.analyze(url);
console.log(result.confidence); // 0.98
📄
DocuParse
v1.0.9 • Apache 2.0

High-speed document parser for PDFs and scanned files. Extracts entities, dates, and financial figures into structured JSON.

  • Handles OCR for scanned documents
  • Named Entity Recognition (NER)
  • Batch processing up to 10k files
import DocuParse from '@aevum/parse';
const data = DocuParse.extract(pdf);
return data.entities;

The Lab Team

Data scientists, analysts, and engineers powering the investigation.

DR
Dr. Elena Rossi
Director of Data Science
Former MIT Media Lab researcher specializing in network analysis and computational journalism.
MK
Marcus Kim
Lead Backend Engineer
Architect of the Aevum ingestion pipeline. Expert in distributed systems and large-scale data processing.
SJ
Sarah Jenkins
Investigative Analyst
Specializes in financial forensics and uncovering offshore corporate structures.
AL
Amir Laal
AI/ML Engineer
Develops the NLP models used for automated fact-checking and sentiment analysis.