Evidence Capture Pipelines

We deploy autonomous agent pipelines that handle the full evidence capture lifecycle. Rather than manually configuring scrapers and writing cron jobs, our AI agents orchestrate the entire process: identifying targets, selecting the right capture method, scheduling recurring collections, validating output integrity, and flagging anomalies for human review.

The agents coordinate across multiple capture tools — web archiving, social media APIs, media downloaders, and custom scrapers — choosing the right approach for each source. Every capture is automatically timestamped, hashed (SHA-256), and stored with full provenance metadata. The system self-monitors, retries on failure, and escalates only when human judgment is genuinely needed.

This agent-first approach means that what previously required a team of analysts running manual collection workflows now runs autonomously with higher consistency and complete audit trails.