We helped launched an early stage 'AI that makes AI' company. At the time, R2.ai's products were comparable to G a suite of machine learning services that enabled developers to train high-quality models. However, unlike AutoML, which takes a deep learning approach to AI, R2’s bread and butter was predictive analytics.
R2 offered both cloud-hosted, software-as-a-service products and on-premise products, and its API allowed customers to deploy trained models with a minimal amount of code.
We highlighted the company's real life case studies and secured an exclusive media interview for the CEO of R2.ai. For example, we let reporters know that in a recent healthcare customer use case aimed at predicting patients’ risk of Type 2 Diabetes, R2 Learn outperformed existing tools and human expertise both in terms of time and accuracy. What took human scientists months to predict with 78% accuracy took R2.ai minutes to predict with 89% accuracy.
We secured coverage in Venture Beat (1.2M views per month), Datanami, and other tech trade media outlets.