Golioth, the IoT development platform, has unveiled its AI-ready IoT infrastructure for microcontrollers, designed to streamline AI training, deployment, and model execution on IoT data both on devices and in the cloud. This new release, alongside strategic partnerships, empowers enterprise customers to efficiently integrate AI into their operations through the Artificial Intelligence of Things (AIoT), fostering faster innovation and product improvement.
The IoT industry is notoriously complex, with over four trillion decision permutations challenging embedded engineers. As AI adoption grows across various industries, Golioth’s new AI capabilities aim to simplify AI integration into IoT products by reducing decision-making complexity with flexible AI infrastructure. Key features include the ability to stream large unstructured data files like images and audio, targeted over-the-air (OTA) updates for AI models, and integrations with AI platforms such as Edge Impulse, Replicate, and Hugging Face within the Golioth Pipelines product.
“When IoT developers are still struggling with basic IoT infrastructure problems like connectivity and device security, AI—while a very real business priority—can really slow down IoT projects. Golioth simplifies IoT development by providing IoT infrastructure as middleware. Adding AI into the development workflow in a low-friction way positions Golioth as the platform of choice for building AI-enabled applications, making it easier for companies to deploy, manage, and continuously improve AI models with IoT data,” explained Jonathan Beri, Founder and CEO of Golioth.
To enable AI on IoT devices, Golioth has focused on delivering three key features:
Large unstructured data streaming
Golioth supports the streaming of rich media data such as images and audio from devices to the cloud for analysis and training. This allows developers to use high-resolution images from AI-connected cameras in computer vision applications or audio clips from security sensors or natural language processors for advanced analysis.
Partnering with Edge Impulse, Golioth can stream IoT data directly for advanced model training, unlocking new data sources for creating and refining AI models.
“The integration of Edge Impulse and Golioth takes the complexity out of deploying edge AI models and IoT tools,” said Zach Shelby, CEO and Co-Founder of Edge Impulse. “It’s a great match for solving real use cases, from predictive maintenance to environmental monitoring to cargo tracking and more, and will drive exciting innovation in many areas.”
Golioth also supports object storage destinations including AWS S3, Google Cloud Storage, and Azure Blob Storage, providing flexible and scalable options for storing and analysing large datasets.
Flexible OTA updates
Golioth’s OTA system now supports larger artefacts and a wider range of asset types, including AI models and media files. This enhancement simplifies the deployment of AI models to devices, ensuring they remain updated with the latest capabilities.
“Golioth’s flexible OTA updates and large image upload capabilities have accelerated our product development. These features allow us to quickly deploy AI deterrent systems to keep wild animals away from areas where they are not supposed to be,” said Tomas Beklin, CTO of Flox Robotics.
New AI pipelines integrations
Golioth Pipelines now supports running AI models on live IoT data, integrating with leading AI platforms like Hugging Face and Replicate, as well as OpenAI and Anthropic. This allows companies to perform advanced AI analysis on IoT data both on devices and in the cloud, enabling AI-driven insights and automation by routing results to any cloud destination. This integration enables companies to leverage AI in the cloud without modifying existing devices or requiring specialised hardware to run AI models at the edge.
With the recent surge in generative AI, Golioth has carefully evaluated the space for practical solutions.
“We wanted our AI tools to truly empower our customers. By interviewing them, we identified their real needs and built a suite of capabilities tailored to those needs, ensuring practical and impactful AI solutions that benefit sustainability initiatives and our planet,” said Dylan Swartz, Head of Product, Golioth.
Clive Pinfold, CEO of Heatr, a company focused on optimising New Zealand’s energy grid, echoed that sentiment: “With Golioth, we are building AI-enabled devices for energy grids that optimise energy use and contribute to a greener planet today. The platform’s robust Pipelines feature allows us to stream live data to our cloud AI models, enabling rapid innovation and more efficient, sustainable energy consumption.”
For companies with existing AI expertise and those new to AI, Golioth provides the necessary tools to streamline processes. The platform simplifies AI integration, allowing organisations to leverage powerful AI functionalities with minimal effort.
Innovation in the hardware sector also supports AI growth.
“There’s going to be an explosion of low-power AI capable microcontrollers soon embedded in everything. New chips are hitting the market that are 100 to 300 times faster in real use cases than microcontroller systems before. We’re happy to see Golioth building out the pipelines necessary for these new systems to reach their full potential,” added Kwabena Agyeman, CEO of OpenMV.
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