❓ Problem

Ordering a coffee. Introducing yourself. Answering the phone. Everyday conversations can require a lot of preparation when you struggle with your speech.

The audience is substantial. Roughly 3 million Americans stutter, according to the National Institute on Deafness and Other Communication Disorders. That’s one condition within a much broader group of speech difficulties.

Speech therapy provides personalised assessment and support. The opportunity is to make the practice between appointments more useful and easier to stick with.

Imagine leaving an appointment with exercises and a specific goal: feeling more comfortable introducing yourself at work. You can practise alone, but repeating a sentence in your kitchen feels different from answering an unexpected question in a meeting.

A practice partner that’s available whenever you are, follows your therapist’s guidance and lets you rehearse situations that matter to you could be valuable.

The question is whether people will use it consistently, and whether therapists see enough benefit to recommend it.

✅ Solution

An AI speech therapy platform that turns a therapist’s plan into personalised practice sessions and realistic conversations.

• Start with the person’s goals. A therapist selects suitable activities and agrees what the patient wants to work towards. That might mean practising particular sounds, participating more comfortably in conversations or preparing for specific situations. Different speech difficulties would need their own clinically reviewed programmes.
• Make practice conversational. Users could rehearse ordering lunch, introducing themselves or answering interview questions. The AI would follow approved scenarios, wait patiently and let users repeat or adjust the exercise. A practice session should fit around someone’s life.
• Connect practice back to therapy. Patients could choose recordings to share, note what felt difficult and track progress towards their goals. Therapists would get a short summary and selected examples, with control over changes to the plan.

The broader vision is support for multiple speech difficulties. For the first pilot, choose one clearly defined group with the participating clinicians. Adults who stutter and want support rehearsing everyday conversations would be one possible starting point.

Keep the initial AI role focused on running approved practice. Automated diagnosis and clinical scoring would require separate validation.

📊 Key Numbers

Market context. The approximately 3 million Americans who stutter demonstrate the scale of one potential audience. They are not all prospective subscribers: the figure includes children, people who don’t want treatment and people whose needs this product wouldn’t meet.

Pricing hypothesis. Test $15 per active patient per month, paid by the clinic. A clinic enrolling 30 patients would pay $450 monthly. Whether that feels reasonable depends on patient engagement and the work it saves or creates.

Illustrative revenue scenarios:

These are arithmetic scenarios, not forecasts. The calculation is clinics × active patients × $15, with annualised revenue assuming that monthly level persists.