Case Study: Shelt.in achieves rapid, reliable delivery of firefighters' vital data with Strapi

How Shelt.in quickly tests and delivers their key data models for firefighters safety

Shelt.in is a French IoT company that builds connected firefighter devices to monitor vital signs, location and environmental risks, using AI to detect high‑risk situations like a fallen firefighter. During an R&D experimentation phase the team needed to rapidly build and adapt data models and a content delivery layer that guaranteed minimal processing delay and consistent performance. After finding their simple Node.js API limiting, Shelt.in chose the Strapi CMS for its Node.js compatibility, intuitiveness and high customizability.

Using Strapi, Shelt.in quickly set up a high‑performance deployment environment with easy integration, which increased the team’s productivity and development velocity and made the platform ready to meet firefighters’ operational requirements. Strapi’s customization and speed helped deliver the vital data processing consistency Shelt.in needed, and the team reports a seamless first experience and faster iteration cycles.

Shelt.in

Thibaut David

Tech Lead