No matter what form your data takes, let Corsali build a custom machine learning model to analyze it instantly. Just describe the information you have and the information you want and we’ll provide a ready-to-use, optimized model, paired with an intuitive dashboard and secure API. Add a few lines of code to your application and tap into the power of your data.
Whether your machine learning journey is years in the making or hasn’t quite started, we're here to help every step of the way. Our machine learning engineers understand your business goals and translate your needs into an API call that machine learning models can solve. Regardless of how much data you currently have, Corsali can always collect and label more, as needed.
Every machine learning model we build and train is bespoke to your use-case, as well as hugely customizable via a robust dashboard. Our skilled knowledge workers apply a human touch to deliver models with maximum accuracy faster than you thought possible.
Rivals and low-code alternatives simply can't compete with Corsali. When one of our customers in the energy sector came to us for help, they were hitting 37% precision and 60% accuracy with a low-code machine learning tool they adopted for identifying solar panels in photos. After using Corsali to develop and train a custom model, those metrics skyrocketed to 93% precision and 84% accuracy.Learn more
To improve their search functionality, one of our customers uses Corsali to create machine learning models which identify specific house attributes. Though the company already had machine learning expertise in-house, they were able to drastically accelerate production using Corsali’s simple deployment platform.Learn more
Take machine learning ideas that feel years away and turn them into production-ready models in weeks. One of our customers in the travel sector had planned to develop a machine learning model over two years, the time it would take to collect data through their application. When Corsali took over collecting data and training that model instead, our client achieved a custom ML model in their production application years ahead of schedule.Learn more