Wavify

Unlock edge inference: cloud-level performance at your fingertips

Freemium

Description

Wavify provides a platform focused on on-device speech artificial intelligence. It empowers software engineers to integrate voice capabilities, such as speech recognition and wake word detection, directly into their software applications.

Designed with privacy as a core principle, Wavify ensures user voice data remains on the device, adhering to GDPR compliance without requiring Data Processing Agreements. The platform offers high-quality, state-of-the-art models combined with a cross-platform inference engine optimized for speed, delivering cloud-level performance locally across diverse operating systems and hardware, including embedded systems.

Key Features

Blazing Fast: Platform optimized for lightning-fast performance for seamless user experience.
SOTA Quality: On-device processing with cloud-level performance for STT, wake word detection, and voice commands.
Private By Design: GDPR compliant; user voice data never leaves the device.
Works With Your Tech Stack: Easy integration via SDKs (Python, Rust mentioned) in a few lines of code.
Cross-Platform: Runs on Linux, Mac, Windows, iOS, Android, Web, Raspberry Pi, and embedded systems.
Multilingual: Supports 20+ languages.
Speech-to-text: Core functionality for transcribing spoken language.
Wake word detection: Enables activation via specific spoken phrases.
Speech-to-intent: Analyzes speech to determine user intention (mentioned in navigation).

Use Cases

Healthcare: Streamline care documentation, automate diagnosis transcription, provide AI therapy for mental health support.
Automotive: Enable hands-free control of vehicle functions, provide real-time navigation assistance, facilitate in-car entertainment and communication.
Legal: Automate case documentation, transcribe court and meeting proceedings.
Consumer electronics: Smart home automation, AI companions, voice control in apps, voice interaction in games.
Customer support: Transcribe conversations for record-keeping, improve issue resolution by converting spoken queries to text.
Education: Facilitate interactive learning and experiences.