Applied AI Information

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.