> After launching in 2014, Skymind now has half a dozen customers...
Umm, is that a misprint?
Umm, is that a misprint?
Yes the deal sizes are mid 6 figures or larger.
We have a larger deal pipeline than that though. A lot more to come :).
Red hat/oracle style on premise (non saas) business model.
We usually target NON computer vison applications like fraud, preventative maintenance in data centers (predicting broken machines) and other mission critical applications.
One example:
http://insights.ubuntu.com/2016/04/25/making-deep-learning-a...
This kind of stuff is a swear word on hacker news but there's actually money in it. Fire away if you have specific questions though :).
In machine learning in production there are 2 phases: training and inference (usage)
In training we have spark docker images where you can run cuda right from spark submit.
In inference mode we sit on top of DC/OS by mesosphere embedding lightbend's (they created scala) micrsoservices technology conductr to scale out automatically on a mesos based cluster: http://www.slideshare.net/agibsonccc/deep-learning-in-produc...
Here is more on our enterprise distribution SKIL: http://www.slideshare.net/agibsonccc/skil-dl4j-in-the-wild-m...
If you're curious where the talent is, I cowrote the flagship oreilly book on deeplearning: http://shop.oreilly.com/product/0636920035343.do
We also employ deep learning phds doing everything from deep learning research in health care, ex nvidia, ex cloudera among others.
I'm assuming if Grail (http://www.grailbio.com/) who launched in 2016 with $100,000,000 in funding were knocking at your door you would be more than happy to work with them?
For anyone else we have a very active open source community: https://gitter.im/deeplearning4j/deeplearning4j
Many companies with infrastructure products like ours tend to "incubate" inside a big company first. We chose not to do that. So we spent much of our time just growing the user base first.