Where advanced digital technologies meet real-world assets

We design, and train advanced computer vision models to analyze both still images and real-time video streams. Beyond model development, we build and maintain the AI infrastructure required to run these models reliably in production, delivering actionable results aligned with our clients’ operational needs. Our platforms can be deployed flexibly, either on customer-owned infrastructure (on-premises, edge devices, or private cloud) or fully hosted and managed by us. They integrate seamlessly with industrial environments, supporting low-latency inference, secure data handling, and scalable performance. We draw on a wide ecosystem of technologies, from NVIDIA’s DeepStream and TensorRT for optimized video processing, to PyTorch and frameworks such as YOLO for rapid prototyping and training. By combining these with robust MLOps practices, we ensure that visual recognition solutions remain accurate, maintainable, and continuously improved over time.

Industrial equipment such as pumps, motors, and conveyor belts continuously emit vibration signals that carry valuable information about their condition. The challenge lies in extracting meaning from these signals: large volumes of data, high noise levels, and complex patterns make interpretation difficult. At BlueHive, we develop systems that monitor vibration sensors in real time, detect relevant trends and anomalies, and transform raw signals into actionable insights. To achieve this, we combine in-house expertise with advanced platforms such as Viking Analytics’ MultiViz, and collaborate with leading academic partners to ensure robust, state-of-the-art solutions.

We provide secure, reliable access to industrial equipment while collecting and managing valuable machine data. Built on the trusted ei³ technology platform, our solutions enable remote service teams, operators, and technology partners to connect safely to assets in the field, without compromising IT security. Beyond secure access, our systems offer powerful capabilities for data collection, performance monitoring, and customized reporting. Operators can visualize equipment health and production KPIs through intuitive dashboards, while automated reports are tailored to client requirements. This not only accelerates troubleshooting and reduces downtime but also creates a solid foundation for advanced analytics and integration with enterprise systems.

At BlueHive, we focus on building robust, scalable solutions at the interface between IT and OT, true to our motto: where digital solutions meet real-world assets. We design and maintain applications that integrate seamlessly into industrial environments, whether hosted on customer-owned infrastructure or fully managed by us. Our expertise covers modern web applications and open-source technologies such as Python, Django, Vue.js, Nginx, Redis, Grafana, and Apache. In close collaboration with our partner Arcanite, we deliver reliable, future-ready platforms and tools that combine strong engineering practices with industrial know-how, ensuring lasting value for our clients.