Kumo is an enterprise AI platform that enables companies to rapidly build and deploy predictive models on their private data. Using Kumo's SQL-like language, data science teams can create multiple AI models in a day to power personalization, churn prediction, fraud detection, and forecasting. Founded in 2021, Kumo has developed a scalable graph machine learning platform that can generate predictions for hundreds of millions of entities.

Kumo was founded by Vanja Josifovski (Airbnb, Pinterest), Jure Leskovec (Pinterest, LinkedIn, Stanford), Arun Verma (LinkedIn), and Arun Kejariwal (LinkedIn). The founders bring expertise in building and deploying large-scale AI systems at top tech companies. In April 2023, Kumo announced $18 million in Series B funding led by Sequoia Capital to fuel its growth and product development. The company aims to make predictive AI more accessible and impactful for enterprises of all sizes.

By automating the complex steps of the machine learning lifecycle, Kumo enables customers to achieve significant improvements in model performance, development speed, and infrastructure costs. Early customers have seen major lifts in metrics like recommendation precision and fraud detection accuracy within days of using the platform. Joining Kumo represents an opportunity to work with an experienced team on cutting-edge applications of AI and transform how businesses leverage their data assets.