" The most important questions of life are indeed, for the most part, really only problems of probability. "

- P. Simon Laplace (1749-1827)

Portfolio AI: built to help.

Laplace Insights was founded to democratize investment professionals’ access to Artificial Intelligence, and ultimately to help more investors reach their financial goals. We know that AI can power products and services that will help ordinary investors achieve outstanding returns while also reducing their risk of being hurt by sudden financial shocks. We know that each new client for us — from individual advisors to large financial institutions — means our technology will have a wider impact on the people they serve.

At Laplace, we leverage innovative technologies in machine learning and artificial intelligence to develop our investment strategies, insights, and communication tools. We’ve built PSIMON, our AI platform, to be resilient and robust in the face of difficult and uncertain markets, while providing relatively stable returns over the long run.

Although we will never claim that PSIMON can exactly predict the future, we do perform extensive statistical analysis of the past, providing data-intelligent, objective guidance to guide investors in the future. We also perform rigorous stress- and back-testing of our systems to ensure consistent, reliable performance over a wide range of market conditions. All this with the goal of reducing investment uncertainties and gaining a clearer understanding of what’s happening in the markets, above and beyond the frenzy of daily news.

From day one, we understood that our work will have impact on the advisors and asset managers we work with, and in turn, the investors they serve. We work tirelessly to earn and retain their trust, a commitment we don’t take lightly.

Pierre Simon, Marquis de Laplace is known to some as the French Newton; a brilliant mathematician, engineer, scientist and philosopher. A pioneer in both mathematical physics and statistics, he thought deeply about probability and is considered by many — including us — as the father of modern data science.