Case StudySimplifying AI deployment: Managing software on edge devices at scale

Challenge

Our client, a provider of edge AI hardware, needed a simple, secure, and scalable way for customers to deploy their own AI applications to remote devices. While the hardware was ready, customers struggled with provisioning, environment configuration, and ongoing updates. Without an easy deployment workflow, engineering teams were losing time managing infrastructure rather than building and fine-tuning their AI models. Additionally, platform buyers increasingly saw deployment tooling as a deciding factor in their vendor selection process.

Solution

Planorama Design partnered with the client to create a user-friendly, production-ready application deployment experience that became a core differentiator for the platform. Key deliverables included:

• Streamlined Deployment Workflow: An intuitive interface that allows customers to configure environments, securely deploy applications, and monitor performance without requiring hands-on training.
• Customer-Centric UX: Grounded in direct customer research, the UI prioritized ease-of-use and clarity, enabling quick ramp-up and eliminating friction for engineering teams.
• Scalable Design: The deployment tool was designed to accommodate a wide range of AI applications and edge hardware configurations, making it suitable for both pilot and production-scale deployments.

Outcome

The new deployment manager enabled our client to deliver a significantly improved customer experience and strategic market advantage:

• Faster Time to Market for End Users: Customers could begin deploying their applications immediately, focusing on model training and debugging—not infrastructure.
• Increased Customer Satisfaction: The simplified deployment process earned strong feedback from end users, reducing support needs and accelerating adoption.
• Boosted Platform Sales: With deployment tooling now a key part of the offering, our client saw a measurable increase in platform adoption, positioning their hardware as a go-to solution for edge AI projects.
• Operational Efficiency for the Client: By reducing the burden of customer onboarding and deployment support, internal teams could focus on product innovation and higher-value customer interactions.

Planorama’s UX design and deployment strategy helped transform a technical necessity into a strategic sales and adoption driver—turning complexity into competitive advantage.