Voice AI Platform

Conversational Intelligence for Every Device

Embedded AI that enhances Speech, understands speakers, and enables natural Voice Interactions across automotive, consumer, conferencing, and Edge AI Devices.

Explore Platform → Request Demo

AI Noise Reduction Speaker ID Voice Separation Edge Inference

40dB+

Noise Suppression

⚡

<20ms

Processing Latency

AMI Voice AI — On-Device Processing

Automotive

Hearables

END-TO-END VOICE AI PLATFORM

From Speech Capture to Intelligent Conversations

AMI combines Speech Enhancement, Speaker Understanding, Conversational Intelligence, and AI Assistants into one complete on-device Voice AI Stack.

Capture

Multi-Mic Arrays

→

Enhance

NR • AEC • Beamforming

→

Separate

Voice Separation

→

Understand

Speaker ID

→

Detect

Wake Word

→

Interpret

ASR • NLU

→

Reason

LLM • AI Agent

→

Respond

Action • Audio • UI

✓ Fully On-Device ✓ Processor & OS Agnostic ✓ Automotive Ready ✓ Edge AI Optimized ✓ LLM Integration Ready

AI Noise Reduction

Capture Every Voice.
Silence the Noise.

AMI's AI Noise Reduction runs entirely on-device, removing traffic, wind, HVAC, and babble in real time — delivering crystal-clear speech in any environment.

DNN + DSP Hybrid 32dB SNR Edge-AI

96%

Voice Clarity

92%

Noise Reduction

Hear the Difference

AI Noise Reduction Across Every Environment

Toggle between raw and AI-processed audio — hear the real-world impact on Traffic, Wind, Baby Cry, Metro, and more.

Traffic Noise

Traffic Noise Reduction

Baby Cry

Baby Cry Removal

Vacuum Noise

Vacuum Noise Removal

Voice Separation

Unmix Every Voice.
From Any Mix.

Deep Neural Network Source Separation isolates each speaker into a clean independent stream — in real time, on-device, with no enrollment required.

Cocktail-Party Neural Separation

Optimized using thousands of hours of real-world and synthetic speech mixtures.

Target Voice Embedding Matching

Real-time Speaker Embedding Comparison identifies the intended speaker across separated streams for robust Voice Capture and ASR performance.

Speaker Identification

Know Who
Is Speaking.

Biometric Voice Fingerprinting identifies enrolled speakers in real time — enabling Personalized Responses and Voice-Based Access Control with zero friction.

Voice Biometrics Real-Time Anti-Spoofing Edge ML

Secure Voice Authentication

Liveness Detection and Anti-Spoofing prevent replay attacks and synthetic voice attempts.

Multi-Speaker Diarization

Timestamps and labels who spoke when — across up to 8 simultaneous speakers in conferencing scenarios.

On-Device Enrollment

Enroll Voice Prints in 3 seconds locally — no cloud sync required, full privacy preserved.