Kneron delivers full‑stack on‑device AI hardware and software that embed neural processing units (NPUs) and AI system‑on‑chips (SoCs) into edge products such as smart vehicles, security cameras, and home appliances. Their low‑power, high‑performance chips provide sub‑millisecond inference without cloud connectivity, while the KNEO USB module and AI App Store enable rapid development and deployment of ready‑to‑use AI applications, reducing latency, cost, and privacy risks.
Funding
$521M 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.
KONTFounders
Product
Problem
Many edge devices such as smart vehicles, security cameras, and home appliances lack the compute capability to run AI inference locally, forcing reliance on cloud services that add latency, increase cost, and raise privacy concerns.
Solution
Kneron provides full‑stack on‑device AI solutions that embed neural processing units (NPUs) and AI system‑on‑chips (SoCs) directly into edge hardware. Their low‑power, high‑performance chips enable real‑time inference with millisecond latency, eliminating the need for constant cloud connectivity. The KNEO USB AI module lets developers prototype and test AI applications on any PC, while the KNEO AI App Store offers a marketplace for ready‑to‑deploy AI apps. By keeping data processing on the device, Kneron reduces operational costs, shortens time‑to‑market, and ensures that sensitive data never leaves the endpoint.
Target Audience
Primary customers are OEMs and system integrators developing smart vehicles, security devices, and connected home products that require on‑device AI capabilities.
Features
- Integrated NPU and AI SoC delivering high performance at low power consumption for embedded devices
- USB‑form factor KNEO module for rapid development and testing of AI models on standard PCs
- KNEO AI App Store providing a catalog of pre‑built AI applications that can be installed directly on edge hardware
- On‑device inference with sub‑millisecond latency, removing dependence on cloud servers
- Cost‑effective, customizable AI solutions tailored to specific use cases such as driver assistance, security surveillance, and smart home automation
- Secure data handling by processing all inputs locally, ensuring privacy and compliance