Modern industrial environments generate enormous volumes of data across geographically distributed production sites. However, this data often remains fragmented and underutilized. To fully leverage its value, companies require a scalable, centralized platform capable of aggregating, processing, and analyzing machine data in real time to improve operational performance, product quality, and efficiency.
SOTEC built a cloud-native IoT platform on Google Cloud Platform (GCP), designed for scalability, reliability, and flexibility. Using services such as Google App Engine and Cloud Dataflow, industrial data streams are ingested and processed in real time, then securely stored in BigQuery, Bigtable, and Firestore for analytics and long-term use.
Device connectivity is enabled through a secure, standards-based architecture built on Eclipse Hono, ensuring reliable integration of machines across diverse industrial environments.
scitis.io complements this foundation with powerful visualization and monitoring capabilities, delivering customizable dashboards hosted on Google Compute Engine. This architecture allows organizations to connect and integrate new machines quickly, without requiring complex hardware modifications or on-site technical intervention.
The platform’s open architecture enables seamless connectivity across machines from different manufacturers and generations. Existing PLC-controlled equipment can continue operating within their normal lifecycle, eliminating the need for premature hardware replacement.
Unlike proprietary systems that require costly infrastructure upgrades, scitis.io provides a flexible, cloud-based approach that protects existing investments while significantly reducing operational and infrastructure costs.
View all our use cases here.
Fill out the form below, and we will be in touch shortly.
