Loom Systems is a leading AIOps provider that helps organizations predict and prevent IT incidents before affecting their bottom line. Loom predicts problems, provides their root cause and crowd-sources expert knowledge to recommend resolutions in real time.
Our platform mathematically models the analytical prowess of the human mind and infuses it with computational speed, accuracy and tirelessness. Our technology ingests every type of machine data, including unstructured data such as log files, learns its unique behavior over time, automatically detects anomalies and trends and recommends actions. Built for low-touch operational simplicity and usability, our solution empowers IT, DevOps, System Admins, NOC teams and Security specialists by transforming reactive users into proactive power-users.
Our approach leads not only to lightning-fast identification and resolution of IT issues, but also to their prediction, allowing for preemptive measures to be taken.
The four founders of Loom Systems share more than 50 combined years of experience generating actionable insights from Big Data. With deep technological and methodological background in elite technology intelligence units, as well as leadership positions at innovative companies in the private sector, they have spent their careers at the cutting edge of analytical process automation.
After struggling daily with the tools currently in use in Big Data analysis, they've teamed up to create the definitive technological solution to the problem. Out of this effort grew Loom Systems - an end-to-end platform that mathematically models human analytical skills, and combines it with machines' calculation speed and diligence.
Seller
Loom SystemsLanguages Supported
English
Product Description
Radically Simplify IT. Automatically predicts and reports IT issues in real time, finds the root-cause of issues, provides insights and recommended resolutions, continuously learns and self-optimizes, ingests all data formats out-of-the-box and integrates with your existing toolset.
Overview by
Dvir Peretz (Helping data leaders discover relevant data for ML models)
