Berlin Tech Meetup: The Future of Relational Foundation Models, Systems, and Real-World Applications
Solutions by Industry
Every industry sits on relational data: customers, transactions, products, interactions. Kumo learns from these relationships directly, delivering accurate predictions without feature engineering.
15+
Industries
With validated use cases
55+
Use cases
Deployed in production
10-50%
More accurate
Through relational context
20x
Faster to production
From months to hours
Loved by data scientists, ML engineers & CXOs at
Featured Industries
From financial services to retail to media, Kumo delivers predictive insights that drive real business outcomes.
Fraud detection, credit risk scoring, anti-money laundering, customer segmentation, and next-best-action directly from transaction and account data.
Product recommendations, demand forecasting, churn prevention, dynamic pricing, and customer LTV learned from your full relational graph.
Content recommendations, subscriber churn, engagement prediction, ad targeting, and content acquisition decisions from viewing and interaction data.
All Industries
From insurance to gaming to energy, Kumo connects directly to your data warehouse and answers predictive questions out of the box.
Claims fraud detection, risk assessment, policy pricing, customer retention, and cross-sell optimization from policyholder and claims relationships.
Patient readmission prediction, treatment recommendations, resource optimization, and clinical trial matching from electronic health records.
Click-through prediction, bid optimization, audience segmentation, attribution modeling, and campaign performance from impression and conversion graphs.
Subscriber churn, network anomaly detection, plan recommendations, usage forecasting, and customer lifetime value from CDR and network data.
Product-led growth scoring, expansion revenue prediction, churn risk, feature adoption forecasting, and account health from product usage and CRM data.
Demand sensing, supplier risk scoring, inventory optimization, lead time prediction, and disruption forecasting from procurement and logistics data.
Predictive maintenance, quality control, yield optimization, supply chain visibility, and defect prediction from sensor and production data.
Player churn prediction, in-game purchase propensity, matchmaking optimization, content recommendations, and LTV from session and social data.
Dynamic pricing, booking prediction, guest personalization, loyalty optimization, and demand forecasting from reservation and interaction data.
Property valuation, lead conversion, market trend prediction, tenant churn, and investment scoring from listing and transaction data.
Student retention, learning path personalization, enrollment prediction, course recommendations, and outcome forecasting from academic records.
Demand forecasting, outage prediction, customer segmentation, smart grid optimization, and usage anomaly detection from meter and grid data.
See what Kumo can predict from your existing relational database.