Detecting anomalies in big data in a non-supervised way.
We invented many algorithms. We apply the algorithms and we fuse the results to get one coherent answer. We learn how the database works, we learn its standard behavior and then look for departures from regular behavior. Then we can pinpoint the anomalies.
Palantir, SkyTree, and there are companies that have rule-based solutions, so they are similar to us but not the same.
Other companies use supervised rule-based solutions. Our solution is unique, because we do it unsupervised and we use an algorithm that was developed by professors from Yale University. We have a higher anomaly detection rate.
Finding the next attack. The unknown.
One of the biggest banks in Singapore, OCBC, chose our solution to be their AML detection platform.