Kumo has been named to Inc. Magazine’s Best in Business list for 2025 in the Best Startups category
LoG is an annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.
December 10 - 12, 2025
Kumo will be attending AWS re:Invent 2025 in Las Vegas. Our CEO, Vanja Josifovski, will be available for 1:1 meetings to discuss predictive AI, relational data, and real-world use cases. If you’re exploring how to accelerate AI development, we’d love to connect.
December 1 - 5, 2025
Dr. Jure Leskovec is the Chief Scientist at Kumo.AI and a Stanford professor, working on relational foundation models and graph-transformer systems that bring enterprise databases into the foundation-model era.
November 25, 2025
Join Joshua Przybylko, Head of Product at Kumo, at Snowflake Build 2025 to see how Kumo’s Relational Foundation Model (KumoRFM) and Snowflake Cortex Agents work together to transform enterprise data into predictive power.
November 4 - 7, 2025
Graph transformers are revolutionizing this space by treating databases as networks and learning directly from raw data. What if you could build models in hours instead of months while achieving better accuracy?
October 1, 2025
In this session, you’ll learn to use KumoRFM to bring plug-and-play predictive intelligence into agents: no feature engineering, no training pipelines–using KumoRFM MCP to deliver accurate predictions.
September 10, 2025
Vanja explains why structured business data has been underserved for years. Images and text behave nicely compared to the messy reality of multiple tables, mixed data types, and event histories.
August 31, 2025
This session will take you from foundational concepts to hands-on application with KumoRFM. You’ll learn the intuition behind how KumoRFM works, explore its core design principles, and build your first use cases through guided exercises.
August 7, 2025
In the episode, Richie and Jure explore the need for a foundation model for enterprise data, the limitations of current AI models in predictive tasks, the potential of graph transformers for business data.
August 6, 2025
Built on Graph Transformer architecture, KumoRFM enables high-quality, in-context predictions directly from relational data, with no pipelines, no manual feature engineering, and no model training required.
July 24, 2025
In this online workshop, Jan Eric Lenssen and Sally Liu from Kumo will explore how Graph Transformers, powered by relational data, are reshaping the way enterprises forecast.
July 9, 2025
In this session, we’ll explore how KumoRFM enables in-context, high-accuracy predictions directly from structured data, without the need for manual model training.
May 29, 2025
Join us to learn how Kumo’s predictive AI platform and the popular open-source library PyTorch Geometric (PyG) to bring deeper reasoning via retrieving knowledge from graph-structured models. This approach allows LLMs to go beyond static retrieval—incorporating rich, forward-looking context that enables more relevant, precise, and explainable outputs.
April 23, 2025
In today’s fast-paced data landscape, building predictive AI models often involves scattered tools, complex workflows, and time-consuming feature engineering. But what if you could do it all—securely and efficiently—within your existing Snowflake environment?
April 10, 2025
In this workshop, Arjun Patel, Developer Advocate at Pinecone, and Blaz Stojanovic, ML Engineer at Kumo, will provide a deep dive into building and deploying advanced recommendation systems using fine-tuned embeddings and vector search with Kumo and Pinecone.
March 27, 2025
Graph Transformers are set to transform how you work with relational data—without the hassle of feature engineering. In this hands-on online workshop, Vijay Prakash Dwivedi (Stanford) kicks things off with a clear introduction to the core concepts behind Graph Transformers.
February 27, 2025
Online workshop for a practical introduction to using Kumo and its AI models for relational data to make better recommender systems, risk scoring, fraud detection, and many other predictive-AI applications with up to 95% less work compared to traditional ML approaches that rely on feature engineering.
February 13, 2025
In this free online workshop — led by data scientists from Kumo and Yieldmo with real-world examples — you’ll discover how recent breakthroughs in Graph Neural Networks (GNN) and Relational Deep Learning (RDL) make it possible to get highly accurate embeddings of entities in your relational data, so you can ship more accurate predictive and generative AI applications for more use cases across your business.
January 23, 2025
Explore how innovative AI models are transforming traditional machine learning by simplifying workflows and delivering accurate predictions with up to 20x less effort. These cutting-edge models eliminate the need for data preparation, feature engineering, and training set generation.
December 12, 2024
Use Kumo to build and run AI models on your relational data.
