From its inception in 2006, KUITY has been focused on applying advanced analytics to answer critical questions about risk and valuation and operationalizing the resulting intelligence with speed and agility so that it can be effectively used within an organization .
Our solutions encompass a mix of advanced analytics (artificial intelligence and learning systems), software and integration expertise to ensure organizations get the intelligence they need, when they need it, delivered in a highly usable and accessible way.
Our philosophy drives us at all levels and inspires our differentiation:
Solution orientation. While advanced analytics is at the heart of our solutions, we are not just a modeling shop. We wrap our models in a functional software environment that integrates with existing systems and translates raw analytics into dynamic intelligence that can feed directly into automated actions or that can be used to predict future states and assess the outcomes of possible actions.
Superior analytic science and techniques.
Biologically Inspired. We leverage nature’s insights in our systems.
Learning orientation. Our systems are designed to learn and adapt.
Membership query system. We hold the patent on a method to query vast sets of data with very low computational burden solving historic speed and storage requirements.
Persistent “always on” data environment. We are pioneers of Dynamic Enterprise Simulation™, enabling the most up-to-date data to flow to our models.
Data management. We are experts at harnessing data from heterogeneous environments.
Cloud. We leverage private and public cloud environments.
Accessibility. We believe analytics are most useful when people who make decisions and are responsible to take action have direct access to understanding how the system works. Rather than black boxes, our solutions embrace an ease-of-use protocol making how the intelligence system works accessible to executives and managers. And, rather than relying singularly on analysts and statisticians, users have the ability to directly view and understand the models and data that shape their operational success. Customers are able to readily construct what-if scenarios and test policy changes, without having to wait for specialist resources—with varying latency and accuracy.