Launchpad for quick-start edge AI development

Launchpad for quick-start edge AI development

Launchpad helps organizations simplify and accelerate the design, development, testing, and deployment of  systems, that run embedded MicroAI software on MCUs and MPUs in edge and endpoint devices.

Launchpad gives engineers a single pane of glass for customizable 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 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, 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 finalizing 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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