Forecasting as a business function involves the synthesis of objective and subjective inputs. Models learn to pull forward patterns from objective history into an estimate of the future. The best models have always included subjective context in the form of feature engineering, choice of sampling weights, selections of training sets, well chosen priors, and so on.
Chronulus AI is the first company to provide a purpose built forecasting and prediction platform that eliminates the bottle neck of manually injecting subjective inputs into the forecast model lifecycle. By eliminating this pain point, we are able to generalize forecasting and prediction across a broad spectrum of use cases that were previously out of reach for most businesses.
About the Founder
Chronulus AI was founded in 2024 by Jeremy Oldfather, an extremely ordinary person.
Jeremy grew up on a small farm in Indiana. He built his first computer (AMD 166mhz) at the age of 12 from parts he ordered out of magazines at the public library. He went on to triple major at Indiana University and earned an MS in Mathematics & Statistics from Georgetown University while working in the R&S division of the Federal Reserve Board of Governors.
Since moving to NYC in 2017, Jeremy has built production deep learning solutions for a few companies you may have heard about including Novartis, Nationwide Insurance, Best Western, BP, and Bridgestone Tire. Before launching Chronulus, he became peculiar for a few years working for a small IT shop (AWS) and its adjacent mom and pop retailer (Amazon).
If you believe you are also exceptionally ordinary and are interested in joining the team, roll the dice and hit the button below.
