Capabilities
Digital Forensics & Data Infrastructure
AI-Powered Information Correlation: Advanced machine learning pipelines for entity extraction, cross-source correlation, and pattern recognition. Natural language processing for multi-language content analysis and automated relationship mapping across large datasets.
Evidence Capture Pipelines: End-to-end infrastructure for systematic data collection and preservation. Automated capture workflows, WORM-compliant storage, cryptographic hashing, and chain-of-custody documentation for court-admissible evidence.
Cloud Storage & Preservation: WORM (Write Once, Read Many) architecture for immutable evidence storage. Cloud infrastructure setup, backup workflows, long-term archival solutions, and compliance with legal hold requirements.
PII Redaction & Anonymization: Automated and manual pipelines for sensitive data handling. PII detection and redaction, document obfuscation, metadata scrubbing, and anonymization workflows supporting legal, journalistic, and research use cases.
Services
Research & Advisory
Technical infrastructure services for law firms, media organizations, researchers, and corporations requiring robust evidence capture, preservation, and analysis systems. WORM-compliant storage, AI-powered correlation, and automated anonymization pipelines.
Evidence Capture Pipelines
Autonomous AI agents that run end-to-end evidence collection — scheduling captures, validating outputs, and maintaining chain-of-custody documentation without manual intervention.
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AI-Powered Correlation
Multi-agent AI systems that autonomously extract entities, map relationships, and surface patterns across large datasets — coordinating LLMs, graph databases, and vector search in unified pipelines.
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WORM Storage & Preservation
AI agents that configure, monitor, and maintain tamper-proof storage infrastructure — enforcing retention policies, verifying integrity, and managing legal holds autonomously.
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PII Redaction & Anonymization
AI agents that detect, classify, and redact sensitive information across documents, images, and databases — selecting the right anonymization strategy per jurisdiction and use case.
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Metadata & Document Obfuscation
Autonomous agents that sanitize documents, strip metadata, and verify obfuscation completeness — ensuring no residual identifying information survives publication.
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Complete forensics platforms where AI agents manage evidence intake, hashing, timestamping, storage, and chain-of-custody tracking — unified under autonomous orchestration.
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