Ziora

    Less paperwork,
    more healing.

    AI-powered clinical documentation that lets therapists focus on what matters most: their patients.

    The Current Crisis

    Patient Impact

    • • 25.3% early therapy dropout rates
    • • 48-67 day average wait times
    • • $1T annual economic loss from untreated mental health

    Therapist Burnout

    • • Up to 103 minutes/day on documentation
    • • 74% say paperwork steals patient time
    • • 77% finish notes after hours

    How Ziora Helps

    Reduce documentation time by up to 80%
    Increase session focus with real-time transcription
    Automated SOAP/DAP note generation
    Risk-aware clinical insights and flags
    HIPAA-compliant with enterprise security
    Seamless EHR integration and sync

    Powerful Features for Modern Mental Healthcare

    Live Transcription

    Real-time speech-to-text for telehealth and in-person sessions

    One-Click Notes

    Automated SOAP/DAP note drafts from session transcripts

    Clinical Risk Flags

    AI-powered risk assessment and clinical story analysis

    Progress Dashboard

    Smart analytics with HIPAA-secure EHR synchronization

    Patient Copilot

    Daily follow-ups and engagement tracking for patients

    Secure Architecture

    Multi-layer data protection with enterprise-grade security

    How Ziora Works

    1

    Capture

    Record therapy sessions with consent

    2

    Speech-to-Text

    Real-time transcription with clinical accuracy

    3

    AI Analysis

    LLM processing with sentiment analysis

    4

    Structured Output

    JSON format for EHR integration

    5

    Dashboard

    Clinical notes and insights delivered

    "Ziora has transformed how I approach session documentation. I can focus entirely on my patients."
    — Dr. Sarah Chen, Licensed Clinical Psychologist

    Simple, Transparent Pricing

    Professional Plan

    Perfect for individual practitioners

    $59/clinician/month
    + $0.03/minute transcription after quota

    Enterprise EHR licenses available

    Product Roadmap

    Q3 2025

    Alpha Release

    Core transcription features

    Q4 2025

    Beta Launch

    Full feature set rollout

    Q2 2026

    FDA Pathway

    Medical device certification

    Q4 2026

    Series A

    Scaling and growth phase

    Meet the Team

    CM

    Christopher Martinez

    Co-Founder & Data Engineer

    Expert in machine learning and healthcare data systems with 8+ years experience.

    MS

    Miguel Segovia

    Co-Founder & Full-Stack Engineer

    Full-stack developer specializing in scalable healthcare applications and security.

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    Clinical Advisor

    Seeking Licensed Clinical Psychologist

    Join our team to guide clinical best practices and product development.