Waveshaper offers an extensive library of pre-built audio AI models ready for immediate integration.
Need something custom? Our edge-ready platform helps you build, train, and deploy real-time models without the friction of ML pipelines, DSP tuning, or hardware constraints.
Train models with your own audio samples, no ML team required.
Fix common audio problems quickly with our library of prebuilt models.
Waveshaper delivers optimized edge AI for real-time audio processing on even the tiniest devices, with minimal footprint and maximum performance.
Run models anywhere: device-embedded, live API, VST plugins, mobile or web apps. Yes, it also fits in your car hardware.
Waveshaper streamlines the process of building and shipping great sound—from first prototype to real-time, on-device performance.
Reduce audio tuning time from 3–6 months to just 2–4 weeks. Our AI-native workflow accelerates development and shrinks
time-to-value.
Achieve studio-level sound with AI models trained to capture nuance and character—far beyond what traditional DSPs can offer.
Deliver on-device audio processing with latency under 10ms. No cloud dependency, GPU, or DSP scripting is required.
Waveshaper makes it easy to drop in real-time audio processing features that sound great and run fast on any device. Use production-ready models or customize your own for the perfect fit.
Improve raw mic input with custom-trained models that enhance clarity, suppress noise, and correct tonal balance—ideal for embedded devices and voice platforms.
Make voices sound more natural and present in any environment. Boost speech intelligibility with real-time dynamics and EQ shaping.
Remove background noise and hiss in real time—without sacrificing voice quality. Useful for mobile apps, conferencing, and smart devices.
Suppress room reflections and echoes without adding delay or distortion. A must for hands-free communication and conferencing tools.
Recover missing frequency content caused by poor input quality or lossy compression. Adds depth and detail back into speech and audio tracks.
Repair distorted signals caused by input overload. Restore audio integrity in real time—even in harsh recording environments.
Automate intelligent mastering for music, podcasting, or production tools. Optimize dynamics, loudness, and EQ based on your brand’s sound.
Recreate the warmth and nuance of analog gear using data-driven models. Ideal for music tools and plugin developers.
Have something else in mind? Train and deploy a completely custom model with your own data, your own output, and zero ML overhead.
Transform audio gear with smart sound—think better mics, headphones, speakers, and action cams.
Build plugins and tools with real-time processing for live shows, games, studios, and broadcast.
Enable in-car voice, comms, and branded sound with smart audio tuned for modern driving UX.
Creating accurate audio processing for rapid time to market is great news for so many sectors.
Whether you’re refining a concept or scaling a production-ready solution, we offer prebuilt models and support for fully custom audio pipelines.
Whether you’re ready to train your first model or just curious
about what’s possible, we’d love to connect.
780 Brewster Avenue, RC-016
Montreal, Quebec H4C 2K1
Canada
hello@waveshaper.ai
