EverFlow is a process mining tool that leverages leading edge technologies in big data and machine learning/AI to provide the ability to analyze huge volumes of events in a simple and intuitive manner.
Powerful, yet simple.
There is no need for an army of consultants to uncover the hidden truths of your business. On premise, or on the cloud, EverFlow is efficient on small and big data. There is no event stream too big, or process too complex. If you can dream it, we can analyze it.
Large complex event datasets often encompass multiple processes or subprocesses. EverFlow unleashes the power of machine learning to help you identify potential subprocesses and analyze them separately in their own context. We can untie the knot in your data.
EverFlow is a tools like no other, but some aspects really tell it apart from the herd:
Big data enabled: if your event count hits the millions or billions, look no further.
Easy to use: no need for expensive consultants or data scientist to put your data to work. EverFlow is simple and intuitive. Hit the road faster with us.
Complex made simple: if your process is complex, and possibly contains several subprocesses, EverFlow’s unique ability to partition events into potential subprocesses is key to your success.
Automatically discover simple or complex processes based on event logs
Root Cause Analysis
identify patterns in cases that do not perform or do not comply with models
EverFlow is a flexible tool to discover, analyze and monitor your processes and process-like phenomena. It can be used to:
Discover or reverse engineer processes from log files
Analyse customer journeys
Identify key activities for automation
+1 (415) 800 4030
+55 (19) 3255 3433
2 Embarcadero Center, 8th Floor,
San Francisco, CA 94111
Maria Monteiro 786, Campinas, SP
Everflow mixes advanced Process Mining and Machine Learning techniques with Big Data and a streamlined User eXperience, to build an innovative, easy to use, platform that anyone can use to analyze and improve its own business and technical processes.