M37 AI helps investors and financial teams understand, evaluate, and deploy AI — through hands-on research, tutorials, and advisory.
Three ways M37 AI creates value
Deep dives on how AI is actually used in trading, asset management, and market analysis — signal, not hype.
Hands-on guides: building screeners, sentiment pipelines, and research workflows with modern AI tools.
Helping teams identify high-ROI AI use cases, run pilots, and deploy responsibly in regulated environments.
Recent articles from the M37 AI blog
Recursive self-improvement is here. Why search skill is the hidden bottleneck, coding is the engine of AI evolution, and recursive drift is the threat nobody prices in.
ML in PracticeThree hard truths about validation, feature engineering, and Occam's razor — from stock prediction to production ML.
AI InfrastructureFrom KV-cache compression to speculative decoding and continuous batching — how model and serving innovations reshape AI economics and the market's winners.
From "we should use AI" to a working pilot.
1 · Discover
Map your workflows and identify where AI moves the needle.
2 · Pilot
Ship a scoped proof-of-concept in weeks, not quarters.
3 · Deploy
Harden, document, and hand over — with your team trained.
One email, every two weeks: the most useful developments in AI × finance. No hype.