Sponsorship | Jumpstart

Jumpstart's algorithm

The Value of Jumpstart Jumpstart offers a deep learning platform to better evaluate residential solar customer default probabilities. Jumpstart’s model takes into account a number of customer data points to return a “probability of default” percentage, which can be used to determine which customers to serve.

Investors can utilize Jumpstart to make better loans on their current customer base. Jumpstart also presents an opportunity for investors to access low-FICO or non-credited households that may wish to install solar, because Jumpstart provides a creditworthiness calculation independent of FICO scores. This will allow solar investors to serve uncredited and under-credited customers across the country, and eventually, around the world, where FICO scores do not exist.

Jumpstart may also be used by utilities, to preemptively identify customers that are likely to default on future payments, so that the utility can work out additional precautions. This would also allow utilities to assess customers with deposit amounts more selectively, and minimize negative customer experiences.

Deep Learning Platform Jumpstart’s model is a powerful blend of data engineering and machine learning. The model was inspired by anomaly detection/rare-event predictive algorithms, where negative events happen infrequently and are highly undesirable.

Jumpstart’s model involves dozens of customer inputs, including:


Some feature engineering steps include polynomial feature processing, mean encoding, and synthetic minority oversampling.

Modeling Techniques Given the nonlinear nature of loan defaults, tree-based models were naturally the strongest performers, but non-tree based models such as convolutional neural nets and highly regularized regressions greatly improved performance when added in a multi-layered ensemble. The ensemble was optimized using Bayesian-optimized hyperparameter tuning. Modeling Performance The following performance is achieved:
Recall: 0.95463
Precision: 0.96012
F1: 0.9559


Partnering with Jumpstart In order for Jumpstart to create a model specific for a partner organization, balanced historical information should be provided to tune the Jumpstart model. It is advised that at least 10,000 unique customer historical data is provided, including both customers that have defaulted, and customers that have completed their payments.

Jumpstart offers a free trial for the first 100 customers (customers that Jumpstart catches as likely to default that the investor would have otherwise funded, or customers that Jumpstart catches as unlikely to default that would otherwise get turned down). After, a monthly subscription will be charged.

Interested in partnering with Jumpstart, or have questions? Please reach out to us at team@jumpstartenergy.co.