Case StudyManaging software deployment for AI applications on edge network devices

Focusing on rapid-enablement for edge hardware customers, we created an easy-to-use solution for deploying AI applications to remote devices.

Streamlined provisioning and deployment

Planorama designed an intuitive experience for deploying AI software applications to edge devices, enabling customers to focus instead on building and fine-tuning their own solutions. With an easy-to-use interface for configuring and managing environments, our client’s customers can securely deploy, monitor, and update their AI applications. This streamlined process allows users to focus on the solutions themselves and model training, rather than the complexities of application deployment.

Strategic differentiator that enables customers to ramp to production faster

Through our research with our client’s customers, we identified the supporting deployment manager software as part of the complete edge solution is a strategic differentiator that plays into overall platform selection decisions.  When customers can focus on engineering their unique solutions instead building the supporting applications to deploy and manage them, they accelerate their own time to market, and ramp to volume production more quickly. The ease-of-use was of paramount concern, so users can begin immediately without hands-on training.


Our client’s customers reap the benefits of a streamlined, secure application deployment process that allows their own engineering teams to focus instead on the development and debug of AI applications. When prospective customers evaluate potential solutions, our the value of our client’s solution clearly enables customer success, accelerating their product’s time to market ahead of the competition. Our client saw a significant increase in overall customer satisfaction, and in turn their overall platform sales increased with this new solution comprising their larger offering.

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