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First IoT reliability platform for debugging, monitoring, OTA updates
Memfault is the first IoT reliability platform that empowers teams to build more robust devices with software at scale. We believe that device reliability engineering will transform how developers build and operate IoT and edge devices with more productivity and more collaboration. As IoT applications continue to grow in complexity, it is more important than ever for developers to have Memfault’s performance monitoring, device debugging, and OTA update capabilities built into their fleet of devices for proactive device operations. We built Memfault to enable developers with a more scalable and sustainable process to accelerate go-to-market, de-risk product launches, cut product costs, and deliver overall superior products.
Memfault is an embedded observability platform for IoT that provides monitoring, debugging, and OTA update management to quickly identify and fix faults in devices. It offers real-time fleet visibility, automated diagnostics, and streamlined firmware updates to reduce returns and improve uptime.
Memfault collects crash data, logs, and performance metrics from embedded devices, prioritizes high-impact issues, and enables remote debugging without physical access. It supports real-time fleet monitoring with automated alerts, allows staged firmware rollout with one-click abort, and unifies observation, debugging, and OTA updates in a single platform across platforms like Android, embedded Linux, and MCUs. Users can analyze device health and firmware quality using out-of-the-box tooling without custom code or queries, and ship targeted fixes from a centralized interface.
Who it’s for: Embedded device teams (engineering leaders, firmware engineers, product managers, and customer support) in IoT hardware companies seeking reliable firmware updates and in-field observability.
Customer testimonials and case studies highlighted; emphasis on enterprise-grade reliability and deployment capabilities
How Memfault’s homepage introduced itself over the years — each line is the page title the web actually saw, linked to that moment’s archived capture.
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