MicroAI Launchpad looks to accelerate smart system development

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MicroAI, a specialist in edge-native artificial intelligence (AI) and machine learning (ML) products, has announced the MicroAI Launchpad, a quick start development and deployment tool.

Launchpad has been designed to help organisations simplify and accelerate the 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 uses SIMs to help customers manage and reconfigure device profiles. It provides engineers with a single customisable dashboard, 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 labelled, is being targeted at 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 accelerate design, development, testing and deployment. In addition, OEMs directly engaged with MicroAI will be able to benefit from Launchpad’s flexibility to evaluate various hardware, software, and cloud solutions before finalizing a deployment model.

For IoT service providers, Launchpad is able to provide a one-stop-shop for device certification, connectivity, and deployment, providing a deeper insight view of connected devices on their networks.