Dataspan.ai

dataspan.ai is a GenAI-powered platform that delivers real-time visibility into production and packaging lines through agentic visual AI. The platform continuously monitors manufacturing equipment, detects anomalies such as feeder jams, gripper drift, misaligned parts, and packaging defects before they escalate into costly downtime. Unlike traditional vision systems that require extensive datasets and AI expertise, dataspan.ai uses generative AI to create synthetic training data, enabling rapid deployment with minimal setup. The system operates non-invasively without requiring changes to existing PLCs or production systems, adhering to a "don't touch my line" principle. Key differentiators include expert-guided root cause analysis combining real-time vision with operational data, human-in-the-loop validation by operators and maintenance teams, and deployment within days rather than months. The platform serves multiple industries including aerospace manufacturing, medical device production, food and beverage, and general manufacturing. It helps manufacturers reduce unplanned downtime, improve overall equipment effectiveness (OEE), increase first pass yield, and prevent costly recalls. The Visibility Hub provides real-time monitoring and alerts with visual evidence, while the Agent Builder enables shopfloor experts to define monitoring parameters using plain language, automatically creating visual agents without requiring AI skills. The platform claims to reduce errors by up to 90%, accelerate root cause analysis, and deliver measurable cost savings through prevention of micro-stoppages and process drifts.