Earlier in the year we provided compatibility between Caffe2 and Qualcomm's SNPE library, which follows this similar philosophy.
I want to clarify that Apple advertises Keras support for use with CoreML, but the converter uses a graph from the TensorFlow backend. It begs the question, have you spoken with anybody from the TensorFlow (or Keras) communities about collaborating?
To answer your question: I had no knowledge of this ONIX project before the public announcement today. Speaking purely for myself, if I wanted to develop a universal model exchange format, the first step I would take would be to get in touch with the makers of the frameworks that sum to 80-90% of the market share -- TF, Keras, MXNet. But maybe such a strategy was thought to be superfluous in this case -- for instance, because ONIX may not actually be intended as a universal model exchange format.