Ayla Networks

Ayla Networks is a technology company developing a platform as a service (PaaS) for managing internet of things (IoT) devices. The company is headquartered in Milpitas, California, and was founded in 2010 by Adrian Caceres, David Friedman, Phillip Chang, and Thomas H. Lee.

The PaaS offered by Ayla Networks is made for businesses to add IoT connectivity to their existing products and services and is not available directly to consumers. Ayla Networks offers IoT solutions for consumer electronics, commercial products, and enterprise service providers. The company's platform also gives the capability to include analytics and machine learning for products and services.

Customers of Ayla Networks include the following: Kenmore, Owlet, Hamilton Beach, Midea, Best Buy, Fujitsu, United Technologies, Hisense, Hampton, and Hunter. The company has partnerships with companies including Amazon Web Services, Cognizant, Espressif, Firedome, Google Cloud, IBM, Qualcomm, TeamViewer, Toshiba, Twilio, Vectorform, and Wistron.

Ayla Networks' IoT platform offers OEMs, retailers, and device developers the ability to develop an end-to-end smart home IoT device platform. This includes an application, a managed cloud service, and end-device hardware and software. The solution has been developed to launch quickly with off-the-shelf features and customized to support differentiated product and user requirements.

The platform includes security features to keep a user's IoT network or platform secured. This includes features such as HTTPS with TLS security, multi-factor authentication, data encrypted at rest and in motion, scheduled OTA security updates, and continuous white-hat penetration testing.

Ayla Networks' AI Platform offers predictions for network equipment to prevent service provider network and equipment issues that impact customers' global service providers. The platform helps to reduce customer support costs by preventing service issues related to the core network, home network, CPE, and WiFi before they happen. The platform is cloud-based to optimize the operation of the network and for minimal impact on existing systems.

And the platform offers a library of pre-built machine learning models trained across existing devices, with new machine learning models and anomaly detection modules to continuously enhance and understand new devices or network features.