Celatro consists of large library of components designed to be quickly and easily embedded into other applications. Each component in Celatro has been engineered not only for optimized performance, but also so it interacts seamlessly with the rest of the library. As a result, Celatro components are able to leverage each other's capabilities, and smoothly operate with one another using common interfaces and abstracted data collections.

For example, lexical data in Celatro can be processed using alphabets, tokenizers, stemmers, phonetic similarity scorers, score aggregators, etc., each of which can feed data to the other. These components all derive from common base types, and are available in language specific versions, e.g., English alphabets, Chinese tokenizers, etc. Furthermore, customizable versions of each component have been specifically developed to allow you to create behaviors specific to your needs. This customization can even occur at run time, allowing you to iteratively improve your pattern matching abilities as additional knowledge is gained regarding your problem domain, or when new data becomes available.

Lexical data is well represented in Celatro, however, many other types of data can also be processed. Using the latest in dynamic programming techniques, Celatro technology can successfully be used on a wide variety of data types, such as genetic and binary.