AI Specch Therapist

Disertus Labs is an AI-powered speech therapy platform designed to support individuals in improving spoken communication skills through real-time feedback and structured practice. It functions as a digital speech therapist named Milo, accessible via iMessage and web browser interfaces. The platform serves students, professionals, and individuals seeking to enhance clarity, fluency, pronunciation, breathing control, and confidence in spoken expression.
Target users include university students—particularly those from institutions such as Purdue University, Stanford University, the University of Illinois Urbana-Champaign (UIUC), and the University of California—as well as people preparing for interviews, managing speech-related challenges, or working with human speech-language pathologists. Disertus Labs operates on a starter plan that includes limited usage at no cost.
Users interact with Milo primarily through text-based messaging (iMessage) or via a web browser. Upon initiating contact—such as sending a message to the designated SMS number—the system begins a speech practice session. Users speak aloud while the platform captures and transcribes their speech in real time. The system analyzes acoustic and linguistic features including articulation, pacing, pause frequency, repetition, and filler word usage.
Following each session, users receive a structured summary containing quantitative speech metrics (e.g., clarity score), qualitative observations, and contextually relevant exercises. The learning plan adapts over time based on patterns identified across sessions, recommending specific exercises or vocabulary items. The word library enables users to save difficult terms and practice them using scientifically grounded spaced repetition algorithms.
Disertus Labs supports practical, everyday communication goals: preparing for academic presentations or job interviews, reducing disfluencies associated with stuttering or cluttering, strengthening pronunciation for non-native English speakers, and building vocal endurance and breath control. Its integration with existing workflows—such as sharing exported session reports with licensed speech-language pathologists or instructors—enables collaborative care. Data privacy is maintained through end-to-end encryption, and the platform explicitly states it does not sell or use user data for model training.