Patented · Validated · Production-deployed
Behavioral intelligence from speech
ArcheAI measures what people reveal when they speak — fraud-risk language, deception-relevant signals, personality, behavioral change, and hidden relationships — from audio and transcripts. Built on a patented speech-analysis system (US Patent 12,763,096) and validated the way science demands: on data the models never saw.
Five service lines. One instrument.
Delivered through API integration and analyst-grade reporting — after an interview, after an earnings call, or continuously across an entire population of speakers.
Fraud-Language Screening
Reads what executives say in unscripted Q&A and flags language patterns that historically appeared during accounting-fraud periods — months before public disclosure.
With a speaker's history, AUC .87; on a single transcript, .74 — both on companies the model never saw. The best published academic method: .56–.66.
Deception-Relevant Signals (Voice)
Measures how far a speaker's voice and language depart from their own reference — designed to pair with the fraud-language signal, not to stand alone. Not a lie detector.
Audio line withdrawn 10/2026 and in active rebuild under a speaker-held-out protocol; not currently served. The method and its boundaries are documented in the model card.
Personality Profiling
Builds a Big Five personality profile from a person's unscripted speech — no questionnaires, no cooperation required. Voice-based verification confirms the profile reflects the person, not their vocabulary.
Agrees with the academic reference at r ≈ .8–.9 on speakers with enough text (≈ .65–.7 across all speakers), on a held-out split.
Behavioral Baseline Monitoring
Learns each person's normal communication style, then flags statistically unusual departures — stress, guardedness, sudden certainty shifts — the moment they appear.
Proprietary self-baseline method: each person's own history is the control group.
Speaker-Familiarity Detection
Determines whether two people who present as strangers have actually interacted before — from voice alone. Humans cannot hear this signal; our models can.
Correct 7–8 times in 10 on held-out speaker pairs; we know of no commercial equivalent.
Honest by design
Every score ships with a confidence rating, every claim traces to the data that produced it, and our models' limits are documented as rigorously as their strengths. These are research signals that focus human judgment — never accusations.
Science first. Marketing second.
ArcheAI's methods did not start as a pitch deck. The speech-analysis system that produces every score — diarized speech, text and acoustic feature pipelines, trait inference — is patented (US 12,763,096), and the core measurement approach, detecting when a person departs from their own behavioral baseline, is proprietary to ArcheAI and validated across every behavioral dimension we produce.
Every model is evaluated on speakers and organizations it never trained on, against the strongest published benchmarks we can find. When a method doesn't work, we document that too — because instruments with known boundaries are the ones professionals can trust.
Who we serve
See it on your own use case
Demonstrations are tailored to your domain — an interview recording, an earnings call, or a screening scenario. We'll show you exactly what the instruments measure, and exactly where their limits are.
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