Sidetrek gives AI/ML engineers all their favorite tools in a production-ready environment in one click (almost). Problem: Only 5% of the work required to take an AI/ML project to production is core AI/ML work. The other 95% is writing glue code to connect different pieces of the pipeline together, working on DevOps problems, etc - which most AI/ML engineers don't care about and/or do not have expertise in. Sidetrek is aiming to solve this problem. With Sidetrek, you can link your AWS account and have a scalable, production-ready Kubernetes cluster set up in your own cloud with a couple of clicks. You can then install your favorite open-source tools like Jupyter Notebook, Airbyte, Prefect with a single click. No need to write glue code to make sure all of them work together well. Distributed computing is also built-in so that when it comes time to take your data pipeline and AI/ML models to production, you can automatically scale them with no extra work. This way, AI/ML engineers can just focus on working on their core ML/AI problem.