Patented · Validated · Production-deployed

Behavioral intelligence from speech

ArcheAI measures what people reveal when they speak — fraud-risk language, personality, communication style, 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.

560,000+
corporate speech events from 19,000+ companies, 2002–present
Patented
speech-analysis system (US 12,763,096)
Held-out
every model validated on unseen data
23×
faster than real-time processing

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 a whole earnings call — prepared remarks, analyst questions and executive answers — and flags the language and Q&A patterns associated with later SEC enforcement.

A 0–1 score per call with a percentile against typical earnings calls, plus a quarterly risk series for every covered company, by ticker.

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.

Validated against the peer-reviewed academic reference on speakers the model never saw. Available from text and from voice.

Conversation Analysis

One multi-speaker recording in — an interview, a meeting, a call — and a profile of every speaker out: who said what, how they communicate, and how they come across.

Diarized transcript, seven communication-style dimensions and Big Five per speaker, from text and from each speaker's own voice.

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.

Validated on held-out speaker pairs; we know of no commercial equivalent.

Honest by design

Every result names the exact model that produced it, every claim traces to the data behind 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.

US Patent 12,763,096 B2 (issued Oct 13, 2026; 19 claims) + continuation 19/768,904 (pending)
The end-to-end speech-analysis system — diarized speech, text and acoustic features, trait inference — assigned to Arche AI, LLC (Reel/Frame 76227/0832). Our deviation-from-self measurement is proprietary, not claimed; not supportable in the current patent family (no new matter), protected as trade secret and know-how.
Validated the way science demands
Strict train/test separation: performance measured only on speakers and organizations the models never saw.
Benchmarked against the academic reference
Personality measurement is validated against the peer-reviewed academic reference; model cards and test results are available under NDA.

Who we serve

Quantitative & Fundamental Investors
Point-in-time behavioral factors · event studies · executive diligence
Financial Data & Research Platforms
A scored behavioral layer for earnings-call products
Forensic Accounting, Audit & Compliance
Fraud-language watchlists · prioritizing calls and companies for review
Governance, Executive Assessment & HR
Leadership communication over time · succession diligence
Conversation-Intelligence Platforms
Per-speaker personality and dynamics from recorded speech

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.

Request a demo