Hear every word, tune every lesson.

    Prolexia turns oral reading into precise learning signals: live word detection, phoneme guidance, and teacher-ready next steps for each student.

    Response window
    250 ms

    down from 1000 ms

    Detection accuracy
    85%

    targeted by enhanced matching

    False positives
    -68%

    through stricter validation

    Live reading session

    Maya, Grade 1, target /m/

    Listening
    The Moth and the LampPage 2 of 6
    Thebravelittlemothfoundabrightlamp.

    Live word-by-word reading

    audio windows keep the child in flow

    250 ms

    Phoneme-level feedback

    sound targets surface before frustration

    /m/

    Adaptive confidence

    thresholds shift by word complexity

    85%

    Reading practice that reacts while the student is still reading.

    The essential job is not generating another worksheet. It is hearing a learner's attempt, spotting the sound-level gap, and keeping practice gentle enough to continue.

    01

    Capture

    Short audio buffers are scored without storing raw speech by default.

    02

    Interpret

    Exact, phonetic, and fuzzy matching are weighed against the expected word.

    03

    Adapt

    Stories and practice sets tighten around the sounds that need another pass.

    Teacher intervention queue, not another analytics swamp.

    Prolexia condenses reading sessions into the next action a teacher can trust: who needs help, which sound is driving the issue, and what to assign next.

    Small-group ready

    Students cluster by sound pattern, not just by score.

    Progress with context

    Accuracy, pace, and retry patterns stay connected.

    Today's reading signals

    3 students need a targeted follow-up

    MMaya

    confuses /m/ and /n/

    Assign moth mini-set

    JJon

    strong accuracy, slower pace

    Advance Fry level

    AAri

    multi-word drift

    Shorten next page

    Built for real classrooms, rough audio, and privacy constraints.

    The platform already has the hard pieces: local inference options, stricter word matching, phoneme validation, and adaptive processing for lower-power devices.

    Hybrid speech engine

    Browser recognition, Whisper workers, and fallback paths stay coordinated.

    Raw-audio restraint

    Session analytics can persist without uploading sensitive recordings.

    Mastery model

    Progress follows phonemes, Fry level, complexity, and recent confidence.

    Teacher-ready output

    Each session resolves into an assignment, not just another dashboard chart.

    Start with one reader and one sound.

    Create an account, assign a short story, and let the next lesson come from the student's actual reading attempt.

    Create your first session