Tool accelerates edge-native AI development
To simplify and accelerate the design, development, testing and deployment of smart systems, MicroAI has introduced Launchpad, a quick start development and deployment tool. It is designed to run embedded MicroAI software on microcontrollers and microprocessors in edge and endpoint devices.
The tool handles customers with SIMs around the world and provides a flexible way to manage and reconfigure device profiles. Launchpad allows engineers to customise dashboards, including account creation, authentication, mobile SIM or LoRaWAN connectivity activation, credit card billing for global SIM connectivity with 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 . . . 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 microcontrollers and microprocessors into an edge device, which can be tested and scaled to proof of concept for mass deployment.
MicroAI Launchpad can be white labelled for use by semiconductor companies, OEMs and service providers. Semiconductor companies that offer stock keeping units (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. 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 provide device certification, connectivity, and deployment for a deeper insight view of connected devices on networks.
MicroAI is based in Dallas, Texas, USA and specialises in edge-native artificial intelligence (AI) and machine learning (ML) products. The company is personalising AI for connected machines, edge devices, and critical assets by embedding its proprietary edge-native AI technology directly onto microcontrollers and microprocessors within edge endpoints. This enables device-specific and more accurate AI modelling for edge and endpoint cyber security, advanced predictive maintenance, IoT performance optimisation and significant improvements in overall equipment effectiveness (OEE). The company’s mission is to democratise edge-native AI for all connected, smart devices by reducing the complexity, time, and cost to design, develop, and deploy embedded, edge-native AI.
