SliceUp careers

SliceUp provides anomaly detection at the edge allowing customers to predictively find and fix infrastructure issues and security risks, while optimizing communications in bandwidth limited environments. We have created a system to allow for fast ingestion of sensor and log data in a time-series database for real-time evaluation, all connected to an AI engine that quickly identifies the root cause of a future problem.

One major difference between SliceUp and other technologies is our ecosystem of edge and cloud. Ingestion and smart filtering of data at the edge and only sending anomalous details to the cloud has many benefits including limiting expensive data transmission usage, reducing cloud storage and compute costs and enabling faster issue resolution. We capture massive amounts of data at the edge, but we use smart filtering to send important information to enable extremely robust machine and deep learning models to be created in the cloud and uninteresting data to inexpensive cold storage which typically gets thrown away.

Our solution has already helped a large logistics company to save money managing their massive infrastructure. They were unable to find the root cause to issues that were occurring, even after the fact. We started collecting the 50,000 logs/second produced by their operational equipment and over the course of 3 days, found 29 devices that were going to have problems with 96% true positive accuracy. Truly finding a needle in one of many haystacks.