Kumo is an AI software company focused on enabling seamless machine learning (ML) over large-scale cloud data warehouses. Kumo develops infrastructure and tools designed to democratize access to advanced AI, making it easier for organizations to train and deploy ML models on complex, modern data sets.
The company is best known for its work behind PyG (PyG.org), a widely adopted open-source platform for building and training Graph Neural Network (GNN) architectures. GNNs are a cutting-edge class of deep learning models that extend the capabilities of Transformers and Convolutional Neural Networks (CNNs), allowing organizations to apply deep learning to highly complex, relational, and non-traditional data formats. PyG has gained significant traction in the machine learning community, with over 40,000 monthly downloads and nearly 13,000 GitHub stars.
Kumo's core offering is a turn-key AI solution that integrates directly with modern cloud data warehouses, aiming to simplify and accelerate the entire ML lifecycle—from data access and model training to deployment. This approach is particularly valuable for enterprises managing large volumes of heterogeneous data who want to leverage AI at scale without the overhead of building custom ML infrastructure.
Who Uses Kumo?
Kumo primarily serves enterprise organizations and data-driven companies seeking to operationalize AI and ML on top of their existing data warehouse infrastructure. Notable customers include Reddit, Databricks, and Sainsbury's, reflecting a user base that spans technology, retail, and data platform providers.
How Was Kumo Started?
Kumo was founded by a team with deep expertise in AI, data infrastructure, and engineering leadership:
- Vanja Josifovski (CEO and Co-Founder): Former CTO at Airbnb and Pinterest
- Jure Leskovec (Co-Founder & Chief Scientist): Professor at Stanford, co-creator of RDL and GNN, former Chief Scientist at Pinterest
- Hema Raghavan (Co-Founder & Head of Engineering): Former Sr. Director of Engineering at LinkedIn
- Kyle Martin (Chief Revenue Officer), Sherry Shah (VP of Talent, HR & Operations), Konstantine Buhler and Bill Coughran (Partners at Sequoia Capital), and Carl Eschenbach (CEO, Workday) also contribute to the leadership team and company direction.
The collective background of Kumo's founders and leaders brings together experience from top technology companies and academic institutions, underlining Kumo's focus on scalable, production-grade AI for the modern data ecosystem. More about their story can be found on their About page.
What Makes Kumo Different?
Kumo stands out for its commitment to democratizing AI on the modern data stack and its leadership in Graph Neural Network innovation. By offering both open-source (PyG) and enterprise-ready solutions, Kumo enables organizations to leverage the latest in deep learning with minimal friction, especially in the context of complex or irregular data types.
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