LumenVox

User calls the bank IVR.

LumenVox Passive Biometrics monitors the initial conversation with the bot.

The system compares the voiceprint against the stored biometric template.

A confidence score is returned to the banking app.

If score > 90%, the user is authenticated without further questions.

Patient provides intent (e.g., 'I need to see Dr. Smith on Tuesday').

LumenVox ASR transcribes the intent into JSON data.

Natural Language Understanding (NLU) extracts date and entity.

LumenVox TTS confirms back to the user: 'I have you booked for Tuesday at 2 PM.'

The appointment is written to the EMR system.

LumenVox engine is deployed on the vehicle's edge compute unit.

User says 'Navigate to the nearest gas station'.

Local ASR processes the command with zero latency.

The infotainment system triggers the GPS without requiring an internet connection.

Outbound dialer initiates call.

LumenVox CPA analyzes the first 500ms of audio.

If it detects 'Hello?', the call is immediately bridged to an agent.

If a beep is detected, the system drops the call or leaves a pre-recorded message.

Adjuster records a claim summary via mobile app.

Audio is sent to LumenVox batch transcription API.

The engine identifies multiple speakers (Adjuster vs. Claimant).

A timestamped JSON transcript is generated for the claim file.

Customer speaks their order number.

ASR interprets alphanumeric strings accurately using specialized alphanumeric grammars.

System queries the DB and TTS reads back the shipping status.

Call is ended without agent intervention.

Student reads a text passage into the software.

LumenVox ASR analyzes the phonemes produced.

Confidence scores for specific syllables are compared against native speaker models.

The system provides a score and highlights areas for improvement.