Oscar Kilo's core product is DETECT for the detection and classification of rare events. Rare event classification is a problem the occurs in many sectors.

Some typical applications are:

• Credit Card Fraud Detection: detecting fraudulent transactions in real-time.
• Factoring Fraud: identifying fraudulent invoicing (see whitepaper).
• Insurance Fraud Detection: assessing which claims to investigate.
• Delinquent Spending on Store Cards: spotting indicators of behaviour likely to lead to runaway spending.
• Mobile phone fraud: identifying calls from stolen or cloned phones or other network misuse. more...
• Medical: Occasionally patients have adverse reactions to otherwise commonly used drugs. It may be possible to identify patients who might benefit from closer monitoring. A system like ours which can be constantly re-calibrated might pick up on geographical or other changing risk factors which might otherwise be discovered later or missed altogether.
• Shipping container security: identifying which containers to inspect from bills of lading data.
• Tax fraud: selecting which tax returns to investigate. There may be many analogous applications in central and local government as more and more business (both C2G and B2G) is conducted online. The E-government agenda is that all transactions will be conducted online within 18 months.
• Police and Security Services: these may have access to many of the data sources from other application areas but be looking from another perspective- deciding which organisations or individuals to investigate further when combining the data with previous known criminal or terrorist activity.
• Sales, Marketing and Business Intelligence: Modern call centre operations accumulate large quantities of data- there may be applications in deciding which calls to follow up on the basis of data from previous successful sales. The ability to keep up with changing trends might give our system the edge of traditional techniques.