From solar panel photo analysis to energy demand and pricing prediction.

Identifying households that are using solar energy is a critical part of planning for our clean energy future, but it can be an incredibly laborious task.  Using satellite imagery and ML, Corsali was able to develop and train a custom model with 93% precision and 84% accuracy.  Try it for yourself.

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How it works

Provide human-readable instructions that describe what you need from your data.

Is this a photo of a solar energy farm?
How high is the demand for solar in this zip code?
Do these windmills require maintenance?

Upload your available data to our platform (images, text, video, analytics, etc.). If you don’t yet have data, you can provide an example data point, and we’ll take care of collecting the rest.

images
text
user analytics
historical pricing

Corsali builds and trains your Machine Learning model, which you then easily integrate via API.

company categories
price prediction
location of objects in images

Use an intuitive dashboard to test, optimize, or even create new models down the line.

increase accuracy
create a new model

Customers already making 
the most of their data.

“[The team] quickly understood the uniqueness of our product/problem space. The product seems compelling.”
Head of Product at travel agency
Using Corsali to predict the price of group flights
“ML is core to our business and having Corsali help us train, deploy, and run models without having to hire an ML expert is super helpful.”
Founder of a marketing startup
Using Corsali to identify solar panels in satellite imagery
“We need an end-to-end solution, not just data labeling.”
Director of Data at a startup in retail
Using Corsali to identify products in an in-store shopping app

Together, we'll make your data work for you.