Our AI predicted the Success of Venom with a Great Accuracy

We performed a case study for Sony Entertainment using LargoAI to assess the predictions for Venom. LargoAI made an incredible prediction for Venom's box office revenue. While the real US box office revenue was 213M USD, LargoAI predicted 201M. The predictions for the revenues coming from other countries were extremely close to the original value as well.

Italian Box Office was Predicted 4 Months Before the Release

Domani e Un Altro Giorno is an Italian feature film directed by Simone Spada
and starring Marco Giallini, and Valerio Mastandrea. They used LargoAI before the release of their film.

LargoAI's script analysis on the Domani e Un Altro Giorno script predicted an Italian Box Office results between 1.6M€ and 3.9M€. This estimate were to prove accurate despite an unpredicted slowdown in the Italian movie market in the first quarter of 2019 when the film was released.

A Box Office Failure Detected by LargoAI

Roman J Israel Esq. which saw a loss of 11M USD in the box office, having 22M USD budget. Analyzing with LargoAI, it predicted a large interval of potential revenue, which indicates a high risk. Also, a significant part of this interval stays below even the budget of the film. If the producers were working with LargoAI, they would be aware of this risk. One of two option would be cancelling the project, while the other would be again using LargoAI to improve the content to reduce the risks.

82% Accuracy for Giving Greenlight to Projects

Based on the script analysis and other film metadata (budget, director and cast, production country...), Largo's AI agent can predict if a script in development should be greenlighted.

Over a sample of 50 US films release in the last 3 years, the Largo AI engine was able to predict correct greenlighting with 82% accuracy

Revenue Predictions for 12,000 Films

Based on our unique film recipe analysis technology and other film metadata, LargoAI can predict an interval for the expected gross revenue of a movie. We made a case study over 12,000 films. LargoAI could predict a revenue category for eighty-one percent of these films with high confidence, while nineteen percent was found not to safe to predict.

When the range of possible revenues is cut in three intervals, Largo's AI agent achieved a cross-validated accuracy of 86%.

When the range of possible revenues is cut in nine intervals, narrowing the prediction, LargoAI achieved a cross-validated accuracy of 70%.