Students practice on their phone between sessions and get instant AI feedback on fluency and pronunciation. Coordinators track every student's progress and export a DEWR-ready CSV in one click.
Free for 3 months — no contract, no IT setup, no commitment.
Every practice session is logged with date, duration, fluency score, and student ID. Export a CSV that maps to DEWR participation fields. Providers who use this report saving 2–3 hours per reporting cycle. No manual documentation. No spreadsheets.
These are not new problems. They are structural constraints that every AMEP coordinator manages every term.
Teachers cannot give every student individual speaking practice in large class settings. Students get minutes, not hours, of speaking time per week.
Students have no structured way to practise speaking outside the classroom. Skills plateau without consistent daily practice.
Federal funding requires measurable learning outcomes. Speaking is the hardest skill to quantify and report at scale without hours of manual work.
Students arrive with different L1 backgrounds, proficiency levels, and goals. One approach cannot serve all of them without adaptive tooling.
No IT setup. No new systems. Students download the app, enter a code, and they are practising within minutes.
Your coordinator sends students an enrolment code. They download Verborise and enter the code. No IT setup required.
Students complete 60-second speaking exercises on their phone, anytime. AI gives instant feedback on fluency and pronunciation.
Coordinators see a live dashboard: who is practising, who is falling behind, fluency scores, and session frequency per student.
Export a CSV that maps to DEWR participation reporting fields. One click. Saves 2–3 hours per reporting cycle.
Built specifically for the AMEP context — settlement English, workplace scenarios, and the reporting requirements that come with federal funding.
800+ prompts: everyday English, workplace scenarios, IELTS-style tasks
One-click export of participation data mapped to DEWR reporting fields
Live view: active students, sessions this week, fluency scores per cohort
AI adjusts to each student's proficiency level from A1 to C2 automatically
Students hear what to improve before the next class, not weeks later
Add trainers with separate logins, assign students, share progress reports
No email addresses needed. Students join via a simple centre code
Full record of every session, score, and improvement trend per student
No setup fees. No lock-in. Priced the way AMEP procurement works — per student, per month.
Free for 3 months. No cost, no contract. Try it with one cohort and see the data before committing to anything.
Larger cohorts (50–500 students): $3.50/student/month • 500+ students: contact for custom pricing
Yes. The export includes student ID, session date, session duration, speaking score, and module completed. These map to standard DEWR participation reporting fields. If your organisation uses a specific template, send it through and we will confirm compatibility before you start.
Students need an Android or iOS smartphone and a mobile data or Wi-Fi connection to record and submit responses. The app is available on Google Play and the App Store at no cost to students.
Audio is processed by our AI service and is not stored or used for any purpose other than generating feedback for that session. We are happy to provide a data handling summary for your organisation's privacy review.
Under 30 minutes for a coordinator. We generate an enrolment code for your centre, you share it with students, and they are practising the same day. No IT department involvement required.
The app is a single screen: tap the microphone, speak, stop. The interface was designed for users who are not confident with smartphones. We have tested it with AMEP-equivalent cohorts across multiple L1 backgrounds.
For the free founding period, there is no procurement process — it is free. If your organisation decides to continue, we can provide a formal quote, product disclosure statement, and any documentation your procurement team requires.