AI Audit & System Build

We audit how AI is actually running in your workflows, then build a custom system grounded in real research and cultural intelligence — not another layer of generic guessing.

The Problem

Off-the-shelf AI tools guess at your audience, your voice, your context. Teams patch the gaps with more prompting and manual correction — and still end up with output that’s fluent but ungrounded.

The Solution

Audit → Build. We start by auditing how AI is actually running in your workflows — what’s grounded, what’s guesswork, what’s exposed. Then we build the system: custom-calibrated to your audience and data, not a template. Every tool we ship shows its own confidence level — grounded finding versus model inference, never presented as the same thing.

Why Us

We demo working systems, not theory. Multi-source listening across 20+ platforms. Ethnographic audience profiling with a visible line between corpus-grounded insight and AI inference. Trend detection on real statistical thresholds. Secure, anonymized systems for sensitive real-world constraints. This runs today.

Backed by data science career-pathway work at NASA’s JPL and NSF-funded research on trust and judgment in large-scale data work.