We've spent a decade building systems that run—automated pipelines, not slide decks. Principal-led, New York-based, globally delivered.
Applied AI was founded in 2015. We started building production machine learning systems in 2016—during the first data science wave—and moved into large language models in 2020, fine-tuning domain-adapted transformers before GPT became a household name.
That trajectory matters. We understand the full stack: from classical ML pipelines running at scale to modern generative AI. We've built automated marketing systems targeting millions, document intelligence pipelines parsing contracts with fine-tuned NLP (patent pending), and live algorithmic trading infrastructure executing around the clock.
Everything we build runs in the cloud, automated, monitored. We don't hand off prototypes—we deploy production systems and keep them running.
We've also worked at the executive level: AI strategy, prioritization frameworks, hands-on workshops with senior leaders across legal, finance, actuarial, and asset management at Fortune 100 companies.
The book Machine Learning for Trading is in its third edition, due early 2026.
1-2 Weeks
We map your workflows, identify constraints, and size opportunities. You get a prioritized roadmap with ROI estimates and technical feasibility assessments. No lengthy assessments—just focused discovery that leads to action.
3-12 Months
We join your team to design, build, and deploy production systems. We own delivery while ensuring knowledge transfer. Most engagements ship the first production slice within weeks, not quarters.
Ongoing
For organizations building internal capabilities, we provide technical guidance, architecture reviews, and vendor evaluation support. We've helped teams grow from concept to platform and guided enterprise AI strategies.
Post-Deployment
Production systems need ongoing attention. We provide SLA-backed support, performance monitoring, and continuous improvement—from model retraining and prompt optimization to architecture evolution as your needs scale.
Applied AI operates as a principal-led consultancy, with our founder directly involved in every engagement. This ensures consistent quality and accountability.
For specialized needs, we maintain a network of trusted experts: PhD researchers, platform engineers, and domain specialists. This model provides a flexible, expert-driven alternative to traditional consulting overhead.
