AI-Powered Stock Screening, Built for the Modern Investor
Hedge funds get expensive terminals and quant teams. Everyone else gets screeners that haven't changed in twenty years. We're closing that gap.
Define screens by combining traditional fundamental and technical filters with AI-generated signals. Our models analyze thousands of equities continuously and surface candidates ranked by predicted relevance to your criteria.
Every recommendation comes with explainable signals — what the model saw, which factors mattered most, and how confident the system is. No black boxes.
Drill into any equity to see model output, factor exposures, peer comparisons, and historical signal performance, all rendered in a responsive web interface.
Our backend serves model outputs through low-latency APIs. As market data updates, screens and recommendations update with it — no manual refresh, no stale results.
User interactions and outcomes feed back into our pipelines. The platform gets smarter with every session, refining model accuracy and signal quality over time.
For technical users and partner integrations, we’ll expose our model outputs through a developer API — enabling Peregrine Point’s intelligence to power third-party applications.
Hannah Turner, Founder & CEO
Holds a BSc in Mathematics from the University of Birmingham and an MSc in Financial Mathematics from the University of Warwick, with 9 years’ experience in finance.
