MicroAI™ Launchpad Accelerates Development of Smart Systems with Breakthrough Edge-Native AI
DALLAS – (BUSINESS WIRE) – MicroAI ™, the pioneer in edge-native artificial intelligence (AI) and machine learning (ML) products, today announced MicroAI Launchpad ™, a quick-start development and deployment tool. Launchpad helps organizations simplify and accelerate the design, development, testing, and deployment of next generation intelligent systems that run embedded MicroAI software on microcontrollers (MCUs) and microprocessors (MPUs) in edge and endpoint devices.
Launchpad simplifies dealing with customers with SIMs around the world and provides a flexible way to manage and reconfigure device profiles. Launchpad provides engineers with a single interface for customizable dashboards, including account creation, authentication, activation of mobile SIM or LoRaWAN connectivity, credit card billing for global SIM connectivity, and easy onboarding of MicroAI’s embedded software libraries.
“MicroAI’s goal is to democratize the development of intelligent machines for all companies in every industry,” said Yasser Khan, CEO of MicroAI. “Regardless of the industry or product, building a next-generation smart device involves 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 deliver personalized, edge-native AI models without having to first develop static edge AI models in a cloud or laptop and then port them to the embedded device. Instead, MicroAI AtomML moves the training and inference directly to the embedded device. Launchpad then simplifies and then reduces the time and cost of integrating the MCU and MPUs into an edge device that can be tested and scaled for mass deployment on POCs.
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 embedded AI software from MicroAI can leverage their end-to-end device management and make it available to their customers to accelerate design, development, testing, and deployment. In addition, OEMs working directly with MicroAI benefit from the flexibility of Launchpad to evaluate various hardware, software and cloud solutions before finalizing a deployment model. For IoT service providers, Launchpad will meet their need for a one-stop-shop for device certification, connectivity and provisioning, giving them deeper insight into the connected devices on their networks.
About MicroAI
MicroAI ™, based in Dallas, TX, pioneered edge-native artificial intelligence (AI) and machine learning (ML) products. The company personalizes AI for connected machines, edge devices, and critical assets by embedding its proprietary edge-native AI technology directly into microcontrollers (MCUs) and microprocessors (MPUs) within those edge endpoints. This enables device-specific and more accurate AI modeling for next-generation edge and endpoint cybersecurity, advanced predictive maintenance, IoT performance optimization, and significant overall equipment effectiveness (OEE) improvements. The company’s mission is to democratize edge-native AI for all connected, smart devices by reducing the complexity, time, and cost of designing, developing, and deploying embedded edge-native AI. More information is available at www.micro.ai.
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