Falkonry discovers, recognizes, and predicts operating and performance conditions from time series data, using machine learning/pattern recognition. From its inception, Falkonry has had a single purpose: to make industrial operations more productive. Falkonry achieves this by applying advanced signal processing techniques to:
- Gain yield/OEE improvements not possible without advanced pattern recognition
- Create a whole new ‘view’ of process and asset operations through patterns in operational data
- Put advanced pattern recognition technology into the hands of process and industrial engineers — those who know and understand the operation of their assets and processes.
Investors Zetta and Polaris recognize the ground-breaking shift in yield outcomes enabled by Falkonry’s advanced pattern recognition technology. Their backing, and the backing of Falkonry’s partners and customers, signal the transition of Falkonry’s innovations from a nascent technology to a truly industry-impacting software offering.
Falkonry advanced pattern recognition technology delivers an intuitive UI designed for process and industrial engineers — the company domain experts; no data engineering or scientists are needed. It allows companies that generate massive amounts of data, such as those in the process industries (oil and gas; metals, mining and minerals; pulp and paper) to detect, recognize, and monitor patterns of operation that are only “visible” across complex, multi-variable, time-series data. Recognizing patterns of asset and process operation illuminates areas across assets and processes that for OEE and yield improvement; where bottlenecks and choke points reside; and where in the process flow tuning can be applied. Falkonry’s customers report gains in process visibility; uptime; and process throughput.
For more information on Falkonry, please visit www.falkonry.com.