We build Audio AI that listens, understands, and creates sound. Grounded in deep learning, signal processing, and a passion for music, we handle everything from real-time speech recognition and voice cloning to generating original music and sound effects. We convert your vision into a production-ready product.
We go beyond basic AI model training. We master the physics and theory of sound. This lets us build truly custom solutions for speech, sound, and music. We design Audio AI to work exactly where you need it: in real-time, on the edge, or integrated as a plugin.
We don't use generic ASR/TTS. We create custom Speech AI that truly understands human conversation, including accents, emotion, and noise. And we generate natural-sounding voices tailored to your goals. We manage the entire process, delivering a durable, optimized speech solution ready for your product.
We build models that transcribe, segment, enhance, and analyze speech in real-world conditions. This includes speaker identification, emotion detection, and pronunciation feedback.
Real-time pronunciation feedback and tracking tools for language learners and children in therapy
Speaker diarization and emotion detection
Voice-based symptom tracking or screening
We design models that generate original sound effects for games, ads, or immersive experiences, customized to emotion, timing, or scene.
Dynamic sound effects like explosions, footsteps, reload sounds
Dynamic sound effects like explosions, footsteps, reload sounds
Dynamic sound effects like explosions, footsteps, reload sounds
Music AI brings creativity and speed to modern sound production. Our obsession with musical instruments and harmony allows us to support artists, producers, DJs and audio engineers in everything: enhancing composing, production, experimenting and practice workflows.
We extract meaningful structure from music to support faster production and deeper insight. From BPM tracking and arrangement detection to style recognition, stem separation, and timestamping, our tools help organize and optimize your audio workflow.
Genre tagging, mood classification, beat detection, music recommendation systems
Matching tracks to emotions or campaign themes
Adjusting music tempo or intensity based on gameplay
We develop models that generate natural-sounding vocals, instruments, and full compositions. Our expertise goes beyond basic prompt engineering, giving you real control over melody, harmony, rhythm, and structure.
Adaptive background music that responds to player actions
Build models that integrate into pro tools through plugin formats like VST or AU
Generate custom jingles, loops, or themes in your brand’s tone
Vocal cloning, style conversion, and end-to-end music generation
We build systems that detect, classify, and generate sound in real-world environments. From engine noise and alarms to human activity like coughing or speaking, our models help products interpret complex acoustic signals and create realistic sound effects when needed.
Real-time sound classification makes it possible to detect key events in streaming audio and organize large sound libraries efficiently. Our models are trained to recognize patterns in unpredictable, noisy environments and deliver accurate insights fast.
Detect coughs, snoring, respiratory issues
Trigger actions from environmental sounds
Identify glass breaking, doors slamming, or distress signals
We design models that generate original sound effects for games, ads, or immersive experiences, customized to emotion, timing, or scene.
Dynamic sound effects like explosions, footsteps, reload sounds
Branded audio signatures or ambient soundscapes
Feedback sounds for non-visual interfaces
Tap into the full power of cloud infrastructure for high-performance Audio AI at scale. Cloud platforms like AWS support fast processing, large model inference, and real-time audio applications. With full control over data flow, analytics, and auto-scaling, you get flexible, secure deployment built for growth.
Access AI tools right inside your creative workflow. We integrate Audio AI into VST/AU plugins for DAWs like Ableton Live, Logic Pro, and FL Studio. From intelligent sound manipulation to music generation, artists and producers can use AI without ever leaving their environment.
Run Audio AI on mobile and embedded devices with low latency and no need for constant connectivity. We optimize models to work efficiently on hardware like smartphones or microcontrollers – ideal for offline audio processing and real-time analysis in constrained environments.
Making pronunciation practice easier for kids and smarter for therapists
We created a custom speech analysis engine for a mobile app that supports children’s speech therapy. The system tracks pronunciation accuracy in real time, adapts to different accents and speech patterns, and provides consistent feedback in playful, kid-friendly sessions.
We serve the entire music industry: DJs, producers, individual artists, and major labels. We provide custom Audio AI for workflow automation, unique sound generation, and music analysis.
Enhance learning experiences and accessibility through voice interaction and feedback.
Support diagnosis, rehabilitation, and patient engagement with reliable voice and sound processing.
Bring responsiveness and immersion to games through adaptive sound nd speech generation.
Support creators, producers, and platforms with AI systems that compose, remix, and analyze music for modern Music Tech products.
Simplify voiceover and soundtrack workflows with intelligent audio tools.
Detect and react to key sounds in real time; no camera required.
We offer custom Audio AI development services with a clear path from early exploration to full deployment. No one-size-fits-all tools. No overbuilt pipelines. Just the right model for where you are right now.
Quick, high-value sessions with our CEO or domain experts in computer vision, GenAI, or AI on edge development.
Best for: product teams, tech leads, or founders looking for fast answers before committing to development.
A focused 2-week sprint to analyze your data and define a clear path to a Proof of Concept.
A 2-3 month build of a functional demo tailored to your task and environment.
Best for: startups, R&D teams, or innovation units validating a use case before scaling.
We develop the complete system – from front‑end to back‑end to the custom computer vision core.
We help you refine, scale, and expand your solution across platforms and hardware.
Best for: businesses evolving their AI product or preparing it for broader use in real environments.
We have a proven track record in building production-ready AI systems, including solutions for speech, sound, and music.
Our team has worked across industries to solve complex audio challenges, from recognition and classification to content generation.
Our AI audio engineers are musicians too. We know how to make sound both precise and expressive.
Our expertise comes from both industry and academia, with advanced degrees in signal processing, applied AI, and generative modeling.
We bring a research mindset – enabling faster prototyping, flexible thinking, and real-world-ready solutions.
Everything we build is designed for real use, whether it runs on mobile, on the edge, or inside your app.
Frequently
Asked
Questions
Off-the-shelf APIs are great for general tasks, but they often struggle with specific accents, noisy environments, or domain-specific language. We build models turned to your exact context, so you get better accuracy, better UX, and more flexibility in how it’s deployed or priced.
It depends on the task. For some speech or sound classifiers, a few hours of quality annotated audio can be enough. For generative voice or music systems, we may need more. But we’ll help you scope what’s realistic and make the most of what you have.
Yes. We can optimize models for mobile, edge devices, and local desktop use, especially for latency-sensitive or privacy-crucial applications. You don’t have to rely on a cloud connection to get fast, secure results.
A technical exploration spring usually takes 2 weeks. A Proof of Concept can be ready in 2-3 months. Timelines vary depending on your data, complexity, and scope. We usually break it down into clear, manageable steps.
Many clients come to us with unstructured or messy audio data. We don’t just label it manually; we engineer tools and pipelines to automate the process. In some cases, we’ve reduced data prep time from hundreds of hours to just a few. That means faster cleaner training sets and lower costs.