CloudSqueeze

CloudSqueeze uses deep learning and AI for your AWS cloud to give insights from cloud data on cost, changes and predictions. The job it does: automating builds, tests and deployments every time code changes.

The natural audience is engineering teams. Related areas on their profile: Artificial Intelligence (AI), Business Intelligence, Cloud Computing, Cloud Management and DevOps. As a very small product team themselves (1 to 10 people), they tend to serve customers of a similar scale best. You will probably talk to the people who build it, which is great until you need 24/7 support.

CloudSqueeze is based in Fort Mill, South Carolina and founded in 2018. More on cloudsqueeze.ai.

Before you commit, look at build minutes pricing, caching, and integrations with your repo. Get the renewal terms in writing before the first invoice.

If you have worked with CloudSqueeze, tell the next buyer what you paid and what surprised you. That is the part of this page we cannot write.