AI-powered behavioral analysis that maps institutional communications against clinically-grounded patterns. Peer-reviewed methodology. Mathematical transparency. Your text never lies.
A real example of behavioral scoring on institutional language.
Three steps from raw text to mathematical clarity.
Copy any email, letter, HR notice, legal document, or text message into the analyzer.
Your text is embedded into 768-dimensional space and measured against clinically-grounded behavioral anchors.
See mathematical proximity scores showing exactly how your text aligns with established patterns of institutional behavior.
Validated by research in Nature Human Behaviour, NeurIPS, JMIR, and NIH.
"Embeddings preserve construct relationships in vector space"
View Paper →"74.3% variance explained via SVD on trait descriptors"
View Paper →"85% accuracy via composite emotion vectors"
View Paper →"71.7% accuracy from 9,923 clinical records"
View Paper →Published science validated the foundation. Here's what we built on top.
Most AI tools ask "Is this abusive?" We ask "Who is doing what to whom?" — because the same words describe very different realities depending on who holds the power.
We decompose text into structured actions — Subject → Relation → Object — and score each independently.
TPS = e−λt. A termination 3 days after a complaint scores 0.914. 90 days later: 0.067. The math quantifies what lawyers know intuitively.
DSM-5 describes individual pathology. Institutions aren't individuals. We built anchors for stonewalling, unilateral power, and retaliatory targeting.
Your text never leaves your machine. Full local analysis mode — zero cloud, zero logging, zero third-party access.
From courtrooms to newsrooms — anywhere institutions put it in writing.
Detect retaliation patterns, wrongful termination timelines, and whistleblower suppression.
Analyze hospital communications around complaint timelines. Detect administrative cover-up patterns.
Pattern analysis across leaked documents. Surface institutional abuse invisible to the human eye.
Analyze agency testimony, whistleblower submissions, and institutional correspondence at scale.
Detect coordinated stonewalling and cartel-like communication patterns across corporate correspondence.
Map bureaucratic obstruction patterns in billing disputes and coverage denials.
From a single analysis to enterprise-scale deployment.
This tool wasn't built in a lab.
It was built by someone who needed it — to analyze real institutional communications, detect real retaliation, and prove real patterns. The methodology emerged from necessity, was refined against real data, and is now validated by peer-reviewed science.
— Brent Porter, Founder