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This is an excerpt from an AMA with Jared Friedman.  Can you name a couple of enterprise products both from inside and outside Y Combinator that CIOs should be paying attention to?

One is a company called Armory, they do enterprise deployment using Spinnaker. So, if you have a lot of servers on the cloud, they will help you do automated deployments. Second one is called CodeStream, they bring chat into your IDE which helps you maintain a really well documented code base. Third one is called GitLab, they're like an open source github that you can host yourself. Fourth one is called PullRequest, they do code review as a service, so they have teams of really awesome code reviewers who will either replace or augment your in-house code review. A few more: one is called Skymind, they are Java based deep learning software for enterprise, it's an open source, or open core software. If you use Java and you want to integrate deep learning into your infrastructure, I really think they're a great option. The last one, also in the machine learning space, is called NanoNets, they are a mix of software plus services where if you have a machine learning problem that's hard, you basically just send them your labeled training data and they have a team of really awesome machine learning experts who will build you a model that solves your business problems.

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One is a company called Armory, they do enterprise deployment using Spinnaker. So, if you have a lot of servers on the cloud, they will help you do automated deployments. Second one is called CodeStream, they bring chat into your IDE which helps you maintain a really well documented code base. Third one is called GitLab, they're like an open source github that you can host yourself. Fourth one is called PullRequest, they do code review as a service, so they have teams of really awesome code reviewers who will either replace or augment your in-house code review. A few more: one is called Skymind, they are Java based deep learning software for enterprise, it's an open source, or open core software. If you use Java and you want to integrate deep learning into your infrastructure, I really think they're a great option. The last one, also in the machine learning space, is called NanoNets, they are a mix of software plus services where if you have a machine learning problem that's hard, you basically just send them your labeled training data and they have a team of really awesome machine learning experts who will build you a model that solves your business problems.
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