Cresance

AI for cloud efficiency that saves companies 20-80% off their cloud bills

Our MVP will be ready in Q2-23. With leverage from Haamid's deep enterprise connections from his work at Oracle, Google, Macy's, and Walmart Labs, we have a ready list of enterprise customers to deploy with at launch. Cresance, being a part of Alchemist & StartX networks, gets ready access to another huge list of qualified customers.

Through our work & research we've identified anywhere between 20-80% wastage in enterprise cloud spend. When building AI and ML at Macy's, we built "cloud wastage templates (CWTs)" to identify endemic patterns of cloud wastage. For example, low hanging fruit for some of these CWTs include what we call hermit, misfit, and comatose resources.

We do this by connecting customer telemetry data through our proprietary patent-pending Cloud Efficiency Platform. None of the customers confidential data is exposed, but through the telemetry data Cresance will provide real-time insights for customers of all sizes to achieve "cloud resonance", i.e. run their cloud workloads most efficiently. This problem is acutely felt with the growth of massive computational needs for both machine learning training and inference models, including generative AI.

We offer a self-service SaaS solution for companies of all sizes to identify their wastages and optimize themselves, along with an enterprise offering for our trained cloud efficiency engineers to optimize cloud environments ourselves for greater savings.

StartX & Alchemist accelerator