Last updated 08-11-2026
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mangoes.ai
mangoes.ai works as a medical assistant for behavioral health teams, listening to patient speech during in-person visits and telehealth sessions. Real-time voice AI flags mood-state symptoms from live audio before clinicians finish documentation, treating speech as a clinical biomarker rather than a transcription shortcut.
Where most documentation tools wait for a provider to type or dictate, mangoes.ai listens during live encounters and group therapy, then ties those voice patterns to a relational knowledge graph that maps entities and clinical relations in real time. The site cites 95%+ symptom accuracy, a 0.93 composite graph score, and workflow claims of 4× faster review with 70% time saved compared to manual chart work.
The product also layers provider search, recovery media, and safety controls such as PII redaction at the edge and red-team validated agents. Behavioral health clinics, inpatient units, and telehealth teams that run group therapy or high-volume psychiatric rounds are the clearest fit.
95%+ symptom accuracy cited for real-time voice mood-state detection during encounters
Relational knowledge graph with 13 entities, 8 relations, and a 0.93 composite score
Works in person and on Zoom or telehealth without waiting for typed clinical notes
PII redaction at the edge plus red-team validated production agents
Provider search filters by specialty, in-network status, language, and distance
Recovery media surfaces local wellness opportunities with provider hand-back workflows
Surfaces mood-state signals from live speech instead of waiting for typed notes
Supports in-person, Zoom, and telehealth on one voice pipeline
Builds a relational patient graph clinicians can audit during review
Lists edge PII redaction and red-team validated agents on the safety page
No public pricing or self-serve signup on the website
Domain Rating lookup failed during research, so third-party authority signals are thin
Clinical accuracy claims rely on vendor citations rather than published mangoes.ai trial data on the homepage
What does mangoes.ai do for behavioral health teams?
mangoes.ai listens to patient speech during live visits and telehealth sessions, then flags behavioral health symptom patterns from voice before clinicians finish documentation. It maps those signals into a patient context graph so reviewers see trends instead of hunting through charts.
Does mangoes.ai work for telehealth and group therapy?
Yes. mangoes.ai supports in-person care, Zoom, and telehealth, and the site highlights group therapy workflows. Voice analysis runs during the session so symptom shifts surface while the encounter is still active.
How accurate is mangoes.ai voice symptom detection?
mangoes.ai cites 95%+ symptom accuracy on its homepage and references peer-reviewed voice biomarker research, including a Frontiers in Neurology study on depressive and manic mood detection from speech.
What safety controls does mangoes.ai include?
mangoes.ai lists PII redaction at the edge, red-team validated production agents, and a cultural-sensitivity layer. Public policy PDFs cover privacy, terms, and a financial conflict of interest policy on its documents page.
Who should contact mangoes.ai about access?
mangoes.ai invites builders, funders, and clinicians to email [email protected]. The site does not publish plan prices, so procurement and clinical teams should request access details directly.
Does mangoes.ai replace psychiatrists or therapists?
No. mangoes.ai positions itself as a listening layer that surfaces symptom signals and patient context for clinicians. Recovery workflows emphasize provider hand-back rather than bypassing licensed care teams.