Modern businesses collect massive amounts of data from sensors, cameras, and connected systems, but true value comes from coordinating that data. Data orchestration unifies and automates these flows, turning raw inputs into real-time, actionable insights. With no-code platforms like Gravio, teams can visually connect devices, AI models, and business applications using open standards such as MQTT, ONVIF, and APIs. This makes it easy to automate processes, improve efficiency, and act on data instantly.

Deploy a vape detection solution in 2 days with Gravio and Axis IAQ Sensor. Automate alerts, cameras, and responses for schools, hospitals, and workplaces.

Gravo seamlessly works with Zebras RFID and Printing Ecosystem

How to trigger a cctv camera at the edge from n8n using Gravio

The food manufacturing industry stands on the cusp of transformative change driven by Artificial Intelligence (AI), promising enhanced efficiency, safety, and sustainability. By leveraging AI's predictive capabilities, the industry can significantly reduce waste, optimize resource management, and refine consumer experiences. AI's impact extends across various applications, such as supply chain management, personalized food products, and food safety measures. Innovative applications including AI-driven robotics and predictive maintenance further illustrate AI's role in automating tasks, anticipating equipment needs, and offering personalized culinary experiences. Real-world examples, like aiOla's Speech Capture Technology, showcase AI's ability to enhance data collection efficiency and crop yields, all while promoting sustainability. However, challenges such as data security, algorithmic bias, and integration costs persist, necessitating strategic planning and ethical oversight. Overall, AI promises a revolutionary shift in food manufacturing, paving the way for a future characterized by innovative, efficient, and sustainable food production practices.

EnergieServe used Gravio to seamlessly integrate power meters, enabling real-time energy monitoring, visualization, and automation without coding.

How Gravio and Axis integrate can complement each other's capabilities

Kawasaki Frontale enhances stadium fan experience with an IoT-powered smart restroom monitoring system, improving crowd control, hygiene, and matchday convenience.

Okaya Electronics and Gravio implemented a VIP Lounge System using sensors at conferences in Tokyo, enabling real-time congestion monitoring via smartphones and signage. Improving attendee satisfaction and optimized crowd management at large-scale exhibitions.

Vision-Language Models (VLMs) and Visual Question Answering (VQA) are two AI technologies that bridge the gap between vision and language, transforming industries like e-commerce, healthcare, and security. While VLMs are general-purpose models capable of performing multimodal tasks such as image captioning and text-image retrieval, VQA specializes in answering questions based on visual input. Both technologies are driving innovation, making AI-powered applications more interactive, efficient, and accessible across various industries.