Home-based echolalia detection system classifying immediate vs delayed repetition patterns with parent-directed coaching prompts.
Patent pending. Not a medical device.
Learn MoreTED AI 2024 Hackathon - 2nd Place Winner
"OMSCS Alum Teams with His Family to Create App Aiding Children with Echolalia" - Our innovative approach to supporting families affected by echolalia has been recognized by Georgia Tech and featured in their official news publication.
Echolalia—repeating words or phrases—can carry meaning and emotion, yet it often makes daily communication harder for families. AI4Echolalia™ detects immediate vs delayed echolalia subtypes through turn-level transcript analysis with lexical repetition detection across timing windows. Parents receive coaching prompts based on classified echolalia patterns—between and alongside professional speech-language therapy.
Example: A familiar movie line ("Let it go") repeated immediately (within 2 seconds) or after delays is classified by semantic distance calculation. Our session-based pattern tracking helps parents recognize immediate vs delayed subtypes and receive echolalia-conditional prompts that invite more functional responses—at home, at school, and in the community.
Why now? Traditional clinical assessment lacks continuous home-context monitoring. AI4Echolalia™ enables hands-free echolalia detection during daily parent-child sessions with repetition-reduction metrics—complementing (not replacing) speech-language therapy.
Turn-level transcript analysis with timing windows detects lexical repetition patterns. Immediate (within 2 seconds) vs delayed echolalia classified through semantic distance calculation—so parents can receive subtype-specific coaching prompts.
Based on detected immediate vs delayed echolalia subtypes, parents receive coaching prompts specific to classified repetition patterns. Guidance is for home-based parent learning, not clinical treatment.
We store non-identifying session summaries tracking immediate vs delayed echolalia frequency over time (not audio). View repetition-reduction trends and functional language increases across home-based parent-child sessions.
A home-based echolalia detection system for parents. Classifies immediate vs delayed echolalia subtypes through turn-level transcript analysis with timing windows and semantic distance scoring. Patent pending (U.S. non-provisional). Recognition: TED AI San Francisco Hackathon — 2nd Place (event reference only; no endorsement implied).
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Parent-child sessions are transcribed for turn-level echolalia analysis, then deleted. Audio is never stored on our servers.
We send de-identified transcripts for lexical repetition detection and echolalia subtype classification through semantic distance calculation.
We keep session-based echolalia frequency counts (immediate vs delayed) and repetition-reduction metrics to help track patterns over time.
You can export or delete your session data upon request. Parents control all inputs and session recordings.
We are actively assessing whether AI4Echolalia™ may fall under FDA or FTC regulations. While we position our app as educational-only, the regulatory landscape for mobile health applications is evolving, and we want to be completely transparent with potential users.
We are currently reviewing our app against FDA and FTC guidelines to determine if regulatory compliance may be required. If you are not comfortable with this regulatory uncertainty, please do not apply for access.
The FTC provides guidance for apps that access, collect, or maintain health-related information, including fitness, wellness, mood tracking, and health monitoring applications.
→ View FTC Mobile Health Apps ToolThe FDA regulates software functions that meet the definition of a medical device, including mobile medical applications that diagnose, treat, or affect health conditions.
→ View FDA Device Software GuidanceUser Decision: By applying for access, you acknowledge this regulatory uncertainty and choose to participate in our pilot knowing that regulatory status may change. If you prefer to wait until regulatory clarity is achieved, please do not apply at this time.
We have filed a US non-provisional patent application covering our core technology and innovations in echolalia detection and analysis.
We have completed a comprehensive Freedom to Operate (FTO) analysis to ensure our technology does not infringe on existing patents.
Status: ZERO INFRINGEMENT RISK
Ongoing Due Diligence: Working document, continuously updated
Our FTO analysis is a living document that reflects our commitment to respecting intellectual property rights.
For investors, strategic partners, and stakeholders interested in reviewing our detailed patent application and FTO analysis:
Upon execution of a Non-Disclosure Agreement (NDA), we can provide:
Contact: legal@dlyog.com
Our Commitment: We prioritize transparency, respect for intellectual property rights, and rigorous due diligence in all our innovations.