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The platform’s flexibility and scalability are further enhanced by its support for object storage on major cloud providers, including AWS, Google Cloud, and Azure
Golioth, an IoT development platform provider, has introduced a groundbreaking AI-ready IoT infrastructure designed to streamline the integration of artificial intelligence (AI) into IoT devices and systems. The new infrastructure empowers developers to train, deploy, and execute AI models on IoT data, both on devices and in the cloud, accelerating innovation in the emerging field of Artificial Intelligence of Things (AIoT).
Golioth’s platform eliminates embedded engineers’ decision-making constraints, which makes incorporating AI into IoT devices easier. Key features include the ability to stream large unstructured data, such as images and audio, targeted over-the-air (OTA) updates for AI models, and seamless integration with leading AI platforms like Edge Impulse, Replicate, and Hugging Face. Jonathan Beri, CEO of Golioth, emphasized the platform’s role in easing the transition to AI-enabled IoT, stating that Golioth offers low-friction AI integration, making it easier for companies to deploy, manage, and improve AI models using IoT data. The platform’s flexibility and scalability are further enhanced by its support for object storage on major cloud providers, including AWS, Google Cloud, and Azure.
To support the launch, Golioth is offering a limited-time credit of $1,000 to new customers, with additional incentives for those who deploy fleets within 30 days. This initiative, combined with Golioth’s advanced AI capabilities, positions the company as a leader in the AIoT space.
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