Artificial intelligence (AI) is ideal for problems that require complex
pattern recognition, prediction, or optimization using or derived from
large amounts of data.
Our AI libraries offer high-quality object-oriented neural nets,
genetic algorithms, traditional search algorithms, and
knowledge-engineering methods (expert systems).
We make use of proprietary evolution/training algorithms to optimize
the appropriate technology(s) for categorization, classification, or
prediction (including delayed reward or discounted prediction). Many of
the resulting solutions can also be configured for continued
learning/optimization when presented with new data. Although we can
handle just about any kind of computerized datastream, our technologies
are particularly applicable to data housed in SQL databases.
In addition to the above suite of AI tools, we have a variety of
algorithms for more traditional types of data analysis such as
transforms, smoothing, and linear or nonlinear regression. These
combined with our extensive experience in formulating problems and
analyzing complex data allow us to produce highly effective solutions
for a large number of problems in fields ranging from
science/engineering to finance.
We package customized AI solutions in SQL, C/C++, and or Java for
just about any computer platform that can support these languages