Falkonry

Falkonry is an industrial analytics platform, sold as Time Series AI, that watches streams of sensor data from equipment. The software finds patterns and flags anomalies without anyone writing detection rules by hand. Engineers connect their own data sources, like MQTT feeds, cloud storage, or databases, and the tool scores how unusual current behavior looks compared to normal history. Falkonry says it can spot warning signs three to ten weeks before equipment fails. It can run in the cloud, on-premises, at the edge, or in a fully disconnected, air-gapped setup, which makes it usable in defense and other high-security settings, not just factories.

This fits a team with a lot of sensor data and no easy way to search through it, such as an operations or reliability team already collecting time-series data from PLCs, historians, or SCADA systems. Start with one process or one piece of critical equipment, then expand once the model proves useful. Falkonry does not publish pricing online; ask for a trial and a quote, and treat any number you hear as a planning estimate. The tool is flexible about deployment and suits sites with strict data rules that need an on-premises or air-gapped setup. One limitation: the tool finds patterns and anomalies, but it does not replace domain expertise. Someone still needs to decide what an alert actually means and what action to take.