Per-session AI inference cost is now under $0.10.
inQuery
Make the silent signal visible.
inQuery builds the real-time intelligence layer for synchronous group contexts — and the AI-driven advising layer for the students inside them.
Students tag notes. AI filters off-topic content. Teachers see what to do, in real time.
Two products. One engagement signal.
inClass
LiveReal-time classroom and training engagement intelligence. Participants take tagged notes. AI filters off-topic content. Facilitators receive a four-line live summary plus a comprehensive post-session report.
See inClass →Rosette
Coming 2029AI-driven academic and career advising for high school and college students. Consumes engagement signal from inClass, joins it with academic records, and recommends pathways based on what students are actually good at and genuinely interested in.
Join Rosette waitlist →inClass collects signalRosette converts to outcomesOutcomes drive adoptionMore signal
The most predictive signal isn't what people say. It's what they reveal.
Polling tools force structured answers. Transcription tools capture what was spoken aloud. Self-report career platforms ask students what they want to be when they grow up. None of them capture the unsolicited, behaviorally-revealed signal — the moment a learner is lost, the question a student won't ask in front of peers, the subject a teenager actually leans into when they think nobody is measuring it. inQuery captures exactly that signal, and turns it into outcomes.
Built for the people who run the room.
Why now.
Synchronous-context AI is a category — Zoom, Microsoft, Google are educating buyers.
US student-to-counselor ratio sits at 415:1, far above the 250:1 ASCA recommendation.
Naviance is 15 years old, self-report only, and has no behavioral signal moat.