AI Trace
Data Analysis

Reviewed and published by trentmaziarz, May 11, 2026. Discovered and drafted by our automated research pipeline.

Lionsgate deployed an AI and machine learning predictive model called ALICE, built in partnership with software firm Artium, to help executives make data-driven decisions about which films to greenlight and which actors to cast. The tool replaced a prior process driven by executive intuition.

Details

Developed with Artium, ALICE is described as a 'Moneyball for movies' system — an AI and machine learning enabled model that takes data points about projects and actors as input and produces predictions about box office success and ideal casting choices. According to Artium, ALICE proved 35% more accurate than purely opinion-based executive decision-making in predicting box office success and casting fit. Artium also helped Lionsgate form a new Data Strategy and Innovation team to support ongoing use of the tool. The model is accessible to non-technical creative executives via an intuitive dashboard interface.

Products affected

Lionsgate Studios film development and greenlighting process

Sources & Evidence

Cite this record

Trace Foundation. (2026). Lionsgate: Lionsgate deployed an AI and machine learning predictive model called ALICE, built in partnership with software firm Artium, to help executives make data-driven decisions about which films to greenlight and which actors to cast. The tool replaced a prior process driven by executive intuition (data as of 2026-05-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/14ad6393-e54d-4e37-a4de-c6ffe10ba870. Accessed October 5, 2026.

Stable link
https://www.aitrace.org/r/practice/14ad6393-e54d-4e37-a4de-c6ffe10ba870
Data as of
May 11, 2026
Last verified
Not recorded

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