Get predictions and embeddings from your relational data, without feature engineering.
Your most useful business data lives in your data warehouse or relational database. Yet models struggle with relational structures, requiring time-consuming feature engineering or lossy workarounds to use the data for AI applications.
The Kumo platform lets you train highly accurate AI models for predictions and embeddings directly on relational data, with...
Thanks to breakthroughs in Relational Deep Learning and Graph Transformers.
Now anyone can build accurate and impactful Predictive AI applications across more parts of the business, up to 20x faster than with traditional ML methods.
RelBench study: 12.3 hours for an expert data scientist to build a basic predictive model using feature engineering and LightGBM or XGBoost, compared to just 0.5 hours using Relational Deep Learning.
Record-setting lift of user engagement models using Kumo embeddings.
5.4x lift in conversions from new lead-scoring models
Powering recommendations for UK's most well-established supermarket.
1.8% engagement lift across 30M+ users, fueling MAU growth with Kumo models.
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
About the
company