An enterprise multi-agent engine turning multi-hundred-page SEC filings, regulatory sanctions, and court archives into fact-checked, broadcast-grade investigative media.
Native Context Window
Content-Title Parity (CTP)
Unverified Claims Allowed
Daily Multi-Channel Pipelines
Traditional content AI generates generic summaries. Dissection Labs orchestrates adversarial verification loops to enforce uncompromising journalistic rigor.
Automated scrapers pull unfiltered evidence directly from SEC EDGAR, court dockets, bankruptcy trustees, and technical breach advisories (NVD/CISA).
Our editorial core evaluates contradictory corporate balance sheets, isolating critical discrepancies and synthesizing complex financial fraud into gripping analytical narratives.
Every script sentence is cross-referenced against the raw source dossier. Any unverified monetary claim or chronological error triggers an automated pipeline halt.
Broadcast-grade vocal pacing and emotional cadence calibrated to documentary chapters, utilizing state-of-the-art neural speech models.
Automatic generation of interactive financial charts, timeline reconstructions, and archival document callouts synchronized to milliseconds.
Engineered on containerized headless runtimes with zero human dependency, producing compliant multi-format longform and shortform assets.
A closed-loop multi-agent architecture designed to eliminate hallucinations while accelerating production by 90%.
Deep-web extraction of balance sheets, lawsuit complaints, and forensic interviews.
Claude Sonnet 5.5 with Adaptive Thinking identifies the core mechanism, timeline, and tension curve.
Adversarial audit halts and repairs any claim lacking 100% verifiable proof.
Synchronized narration, statistical graphics, and chaptered video assembly.
Engineered With Best-in-Class AI Infrastructure