DSP Concepts offers Audio Weaver, a real‑time audio infrastructure that lets OEMs and system integrators design, prototype, and deploy embedded audio algorithms across heterogeneous multicore SoCs. The platform provides fully modifiable IP blocks, multicore/multithreading support, AI integration, and a rapid prototyping toolkit, all backed by comprehensive developer resources and a partner ecosystem to accelerate time‑to‑market.
Funding
$28M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2OYLFounders
Product
Problem
Designing and deploying real-time audio processing for embedded devices requires specialized expertise, extensive low‑level coding, and careful optimization for heterogeneous multicore SoCs, which can delay product development and increase BOM costs.
Solution
DSP Concepts provides Audio Weaver, a real‑time audio infrastructure that enables developers and IP providers to design, prototype, and deploy embedded audio algorithms across a wide range of chipsets. The platform offers open, fully modifiable IP for playback and voice, multicore and multithreading support to maximize performance, and tools for rapid prototyping of microphone arrays and AI‑enhanced signal processing. Integrated documentation, training, and a partner ecosystem simplify integration, while the AWE‑Q runtime manages execution on target hardware, reducing development effort and time‑to‑market.
Target Audience
Audio hardware OEMs and system integrators developing intelligent audio features for automotive, Bluetooth, conferencing, and smart‑home devices, as well as third‑party IP developers seeking to embed their algorithms into DSP‑enabled products.
Features
- Open, fully modifiable audio IP blocks for playback, voice, and custom proprietary algorithms
- Multicore and multithreading capabilities that distribute processing across heterogeneous SoC cores
- AI integration layer that combines traditional DSP with machine‑learning acceleration
- Rapid prototyping toolkit with customizable microphone array configurations and real‑time evaluation
- AWE‑Q runtime for efficient deployment and management of audio pipelines on target devices
- Comprehensive developer resources including AWE Designer, AWE Core, AWE Core OS, and extensive documentation
- Certified integrator and third‑party IP partner programs to extend ecosystem functionality