Blocmount
Blocmount is a technology startup focused on serving the industrial control sector, specifically targeting small and medium-sized manufacturers. They offer services including building data analytics pipelines (on-premise, cloud, or hybrid), networking and asset tracking, custom application development to streamline operations, and consulting in IT/OT networking, AI/ML, cybersecurity, and cloud technologies. Their core offering is the Blocmount Data Analytics Pipeline (DAP), which collects data from various devices, performs AI-powered contextual analysis for actionable insights and alerts, and visualizes this data through interactive real-time dashboards. Key features include data acquisition from diverse sources like CNC machine controllers and IoT devices, secure cloud storage with scalability, AI-powered analytics for predictive maintenance and anomaly detection, real-time alerting via multiple channels, and customizable visualization dashboards. A sample project demonstrated a 56% increase in inter-sample time for sampling parts, significantly reducing operator workload. They are an NSF-funded company through the SBIR program and part of the San Antonio cybersecurity program with gener8tor.
Blocmount
Blocmount is a technology startup focused on serving the industrial control sector, specifically targeting small and medium-sized manufacturers. They offer services including building data analytics pipelines (on-premise, cloud, or hybrid), networking and asset tracking, custom application development to streamline operations, and consulting in IT/OT networking, AI/ML, cybersecurity, and cloud technologies. Their core offering is the Blocmount Data Analytics Pipeline (DAP), which collects data from various devices, performs AI-powered contextual analysis for actionable insights and alerts, and visualizes this data through interactive real-time dashboards. Key features include data acquisition from diverse sources like CNC machine controllers and IoT devices, secure cloud storage with scalability, AI-powered analytics for predictive maintenance and anomaly detection, real-time alerting via multiple channels, and customizable visualization dashboards. A sample project demonstrated a 56% increase in inter-sample time for sampling parts, significantly reducing operator workload. They are an NSF-funded company through the SBIR program and part of the San Antonio cybersecurity program with gener8tor.