Definitely influenced by a few existing libraries (libsvm, svmlight etc.) but ultimately custom built to really ramp up performance and scaling. Our customers throw the Twitter firehose at us, so we need to be able to analyze data quickly.
Yeah, in terms of performance "improved" is the wrong term. We've tailored things more to our use cases, especially since we need feature weighting and multi classification, rather than simply binary classification.