Valuelytics develops analytic technologies that unlock value by improving data quality and enhancing predictive capabilities, creating a strategic differentiator for our customers.
The Company targets three large and diverse markets as well as a broad range of applications where our analytics will unlock significant value for customers. Our primary markets are financial services, the data quality market, and online markets. Each of these markets has multiple segments that greatly expand our opportunities.
Through our ValuelyticEngine™, a core technology platform, we create applications that enable customers to undertake a rigorous, statistically based conditioning and analysis of data through our proprietary data hygenics including data filters, processes, optimization routines, algorithms, and iterative modeling. When customers apply our predictive analytics, they improve data quality, leading to better decisions and driving more value from their data and for their business.
The Company’s Valuelytic Engine™ is an object-oriented technology platform from which we develop applications constructed and tuned for specific markets and applications.
The Company’s FS-VALUE™, a fundamental quantitative application and our first product, was constructed to target institutional investors who seek to generate investment ideas or portfolios from a variety of public or private market securities. Applied to a variety of security types, we enhance the predictive capability to generate Alpha through the identification of both longs and shorts in the equity markets as well as relative value in a number of other market segments such as fixed income and emerging markets.
Our applications are delivered through a Web-service (SaaS). Both our data and predictive analytics can be deployed individually, and enable the customer to integrate both internal and external data for better decision-making. The full potential of our analytic technology is magnified by combining our data quality and predictive analytics to unlock more value for customers.
