Founded as Obviously AI, the company originally pioneered no-code predictive analytics and automated machine learning, letting non-technical operators build classification and regression models, train neural networks and CNNs, and deploy predictions without writing code or hiring a data scientist. That platform served Fortune 100 customers including AAA and Nestlé. With the rise of large language models, the company rebranded as Zams and extended the same thesis to a new substrate: giving go-to-market teams direct access to capabilities that previously required a specialist. Rather than returning a prediction for a human to interpret, Zams delivers completed work. The system is built on a proprietary context-graph architecture, the subject of the company's IEEE peer-reviewed research.