We want to be the best-in-the-world in the application science of AI with data engineering workflow automation, building an internal process of knowing about the strengths of various data science models, their selection, and quick integration when solving customer problems. We focus on the affordability of AI not only from an infrastructure perspective but also from using data science models that is the best fit for the problem that we are solving. It doesn’t always need LLMs. Quantization, use of small language models to bring in the aspect of affordability are critical consideration points