AI-powered geotechnical monitoring software for mining safety
Intelltech builds specialized monitoring software for mining operations, with two core products (Geo Inspector and SHMS) that convert geotechnical sensor data into actionable intelligence via AI and fault-tree analysis. The stack reveals a mature distributed systems architecture (Kafka, RabbitMQ, Cassandra, Elasticsearch, Kubernetes) paired with active cloud migration—adopting AWS and Azure while standardizing on observability tools (Prometheus, Grafana, Zabbix). Pain points cluster around distributed optimization and IoT integration, consistent with scaling real-time sensor pipelines.
Intelltech is a technology company headquartered in Foz do Iguaçu, Brazil, serving mid-market and large mining operators. The company develops two primary software products: Geo Inspector and SHMS (Slope Health Monitoring System), both designed to integrate geotechnical data streams and apply AI-driven analysis to improve workplace safety and operational decision-making. The engineering organization leans senior (7 of 10 active hires), with minimal recent hiring velocity, suggesting a stable product-focused team. All current hiring is in-market (Brazil).
Core: C#, .NET Framework, NET Core, SQL Server, Cassandra. Messaging: Kafka, RabbitMQ, ActiveMQ. Orchestration: Kubernetes, Docker. Observability: Prometheus, Grafana, Elasticsearch, Zabbix. Cloud: Azure, Oracle Cloud, with AWS and Azure under active adoption.
Two active projects: sensor integration for geotechnical monitoring and automation of data ingestion and transformation pipelines. Both align with their mining-safety product line.
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