Compare AWS IoT vs. Seebo

There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.

Seebo helps process manufacturers predict and prevent unanticipated process inefficiencies that continuously reduce production yield and quality. The company's solutions enable production teams to identify their most difficult losses and predict when they will occur next. Seebo solutions are used by manufacturers in many industries, including Nestle, Procter & Gamble and Hovis, Super Bock and Allnex. The Seebo digital twin is used by production teams on a daily basis to transform actionable, accurate predictive insights into timely actions that drive continuous improvement in throughput.