Case Study: Cathedral Safety Services enhances AI risk assessment with NewRedo

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Preview of the Cathedral Safety Services Case Study

Cathedral Safety Services accelerates AI safety MVP delivery with NewRedo

Cathedral Safety Services sought to develop an MVP to enhance their AI-driven safety tool, 'Dawn,' with advanced risk assessment and automated generation features. Their challenge involved balancing rapid development with robustness, integrating complex APIs like OpenAI, and ensuring security and compliance while collecting and processing large volumes of safety data. They partnered with NewRedo to leverage their agile software development expertise.

NewRedo assembled a cross-functional team that used agile methodologies, Azure, Kubernetes, and OpenAI APIs to build the solution with a TypeScript/Node.js backend and a Remix frontend. The efficient development process delivered a well-received tool that allowed Cathedral Safety Services to validate their product in real-world environments, gather essential user feedback, and confidently plan its next commercial stage.


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