word2vec and Stanford's Glove's comparison on standard datasets

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Hi, I am a machine learning lead from India. I have worked extensively on Natural Language processing and language modeling and computer vision. I am currently working on building custom word2vec models using deep learning ( Deep neural networks ) and my research experience can save a lot of time that goes in the iterative steps to get the perfect implementation for the problem at hand. Following are a few things that will impact the accuracy and things that can be done: 1) Yes, It is possible to host it and also expose them though standard APIs. 2) Yes, It is possible to train them on any custom dataset. However, a data cleaning pipeline needs to be setup so that the word2vec model's accuracy is highly optimized. My experience can help you achieve your target much quicker and with better results. I will not charge you anything if you aren't satisfied.