About Hance.ai

Hance.ai offers embedded, real-time AI audio enhancement solutions for hardware and software developers. Their lightweight, on-device models provide instant noise and echo removal, plus stem separation, with minimal latency and low computational footprint.

<problem> Manufacturers and developers of audio hardware and software often face challenges in delivering high-quality audio experiences due to background noise, echo, and the complexity of isolating audio components. Integrating advanced audio processing capabilities typically requires significant R&D investment and can lead to increased latency and resource consumption. </problem> <solution> Hance.ai provides embedded, real-time AI audio enhancement solutions designed for seamless integration into hardware and software products. Our proprietary machine learning models offer instant noise and echo removal, as well as stem separation, all with minimal latency and a low computational footprint. This allows manufacturers to reduce development costs and enhance the audio fidelity of their offerings, from communication devices to music production software. </solution> <features> - **Real-time Noise and Echo Removal:** AI models capable of reducing background noise and room echo with latencies as low as 10-20ms, optimized for voice communication. - **Real-time Stem Separation:** AI models that can isolate and adjust individual audio components (vocals, instruments, dialogue) from mixed audio streams in real-time. - **Lightweight and CPU-Efficient Models:** Models with small file sizes (as low as 242 KB) and minimal CPU requirements, suitable for embedded systems and resource-constrained environments. - **Cross-Platform Compatibility:** SDKs and APIs available for C++, Python, and WebAssembly, supporting macOS, Linux, and Windows operating systems. - **Customizable AI Models:** Capability to train and adapt models to specific use cases and environmental conditions for tailored audio enhancement. - **On-Device Processing:** All AI processing occurs locally on the device, ensuring data privacy and eliminating reliance on cloud infrastructure. - **API and SDK Access:** Comprehensive APIs and SDKs for straightforward integration into existing hardware and software architectures. - **Optimized for Intel and ARM Architectures:** Models are optimized for efficient execution on common processor architectures, including Intel and ARM (SIMD). </features> <target_audience> Our primary customers are manufacturers and developers of audio hardware and software across various sectors, including consumer electronics, live music and broadcasting, and industrial communications. </target_audience> <revenue_model> Revenue is generated through licensing agreements for our AI models and SDKs, with pricing typically based on end-user volume or specific integration requirements. Custom model development is also offered on a project basis. </revenue_model>

What does Hance.ai do?

Where is Hance.ai located?

Hance.ai is based in Oslo, Norway.

When was Hance.ai founded?

Hance.ai was founded in 2021.

Location

Oslo, Norway

Founded

2021

Employees

12 employees

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Hance.ai

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Executive Summary

hance.ai 2K+

Founded 2021 – Oslo, Norway

Funding

No funding information available.

Team (10+)

No team information available.

Company Description

Problem

Manufacturers and developers of audio hardware and software often face challenges in delivering high-quality audio experiences due to background noise, echo, and the complexity of isolating audio components. Integrating advanced audio processing capabilities typically requires significant R&D investment and can lead to increased latency and resource consumption.

Solution

Hance.ai provides embedded, real-time AI audio enhancement solutions designed for seamless integration into hardware and software products. Our proprietary machine learning models offer instant noise and echo removal, as well as stem separation, all with minimal latency and a low computational footprint. This allows manufacturers to reduce development costs and enhance the audio fidelity of their offerings, from communication devices to music production software.

Features

Real-time Noise and Echo Removal: AI models capable of reducing background noise and room echo with latencies as low as 10-20ms, optimized for voice communication.

Real-time Stem Separation: AI models that can isolate and adjust individual audio components (vocals, instruments, dialogue) from mixed audio streams in real-time.

Lightweight and CPU-Efficient Models: Models with small file sizes (as low as 242 KB) and minimal CPU requirements, suitable for embedded systems and resource-constrained environments.

Cross-Platform Compatibility: SDKs and APIs available for C++, Python, and WebAssembly, supporting macOS, Linux, and Windows operating systems.

Customizable AI Models: Capability to train and adapt models to specific use cases and environmental conditions for tailored audio enhancement.

On-Device Processing: All AI processing occurs locally on the device, ensuring data privacy and eliminating reliance on cloud infrastructure.

API and SDK Access: Comprehensive APIs and SDKs for straightforward integration into existing hardware and software architectures.

Optimized for Intel and ARM Architectures: Models are optimized for efficient execution on common processor architectures, including Intel and ARM (SIMD).

Target Audience

Our primary customers are manufacturers and developers of audio hardware and software across various sectors, including consumer electronics, live music and broadcasting, and industrial communications.

Revenue Model

Revenue is generated through licensing agreements for our AI models and SDKs, with pricing typically based on end-user volume or specific integration requirements. Custom model development is also offered on a project basis.