Applied Ai

Applied AI has built production machine learning systems since 2016—starting during the first data science wave and moving into large language models in 2020, well before GPT became a household name. We understand the full stack: classical ML pipelines running at scale, modern generative AI, and the emerging discipline of AI agent engineering. Our work includes automated marketing systems, document intelligence pipelines with fine-tuned NLP, and live algorithmic trading infrastructure. Everything we build runs in production—automated, monitored, built to last. We also work at the executive level: AI strategy, prioritization frameworks, and hands-on workshops with senior leaders across finance, legal, and asset management. The book Machine Learning for Trading is in its third edition, due early 2026. Principal-led. New York-based. Globally delivered. Since 2015.