Artificial Intelligence

Smart systems with breakthrough edge-native AI

4th November 2021
Beatrice O'Flaherty
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MicroAI, an expert in edge-native artificial intelligence (AI) and machine learning (ML) products, announced MicroAI Launchpad, a quick start development and deployment tool.

Launchpad helps organisations simplify and accelerate the design, development, testing, and deployment of next-generation smart systems, that run embedded MicroAI software on microcontrollers (MCUs) and microprocessors (MPUs) in edge and endpoint devices.

Launchpad makes it simple to handle customers with SIMs around the world and provides a flexible way to manage and reconfigure device profiles. Launchpad gives engineers a single pane of glass for customisable dashboards, including account creation, authentication, mobile SIM or LoRaWAN connectivity activation, credit card billing for global SIM connectivity, and easy onboarding of MicroAI’s embedded software libraries.

“MicroAI’s goal is to democratise the development of smart machines for all organisations across any industry,” said MicroAI CEO Yasser Khan. “Regardless of industry or product, building a next-generation smart device includes creating an edge AI model, but also integrating connectivity and cloud resources, as well as device activation and management.”

MicroAI’s embedded software, AtomML, enables OEMs to deploy personalised, edge-native AI models, without needing to develop static edge-AI models first in a cloud or laptop and then port them to the embedded device. Instead, MicroAI AtomML moves the training and inferencing directly to the embedded device. Launchpad then simplifies and reduces the time and cost to integrate the MCU and MPUs into an edge device, which can be tested and scaled to POCs for mass deployment.

MicroAI Launchpad, which can be white labeled, is used by semiconductor companies, original equipment manufacturers (OEMs), and service providers. Semiconductor companies that offer SKUs with MicroAI embedded AI software can leverage its end-to-end device management and deliver it to their customers to help expedite design, development, testing and deployment. In addition, OEMs directly engaged with MicroAI benefit from Launchpad’s flexibility to evaluate various hardware, software, and cloud solutions before finalising a deployment model. For IoT service providers, Launchpad will meet their need for a one-stop-shop for device certification, connectivity, and deployment, thus gaining a deeper insight view of connected devices on their networks.

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