Kumo logo

Kumo

Emerging

Kumo is a graph ML platform that trains predictive models directly on cloud data warehouses (Snowflake, BigQuery) without data movement; raised $31M Series A led by Sequoia; founded by ex-Pinterest and Stanford AI researchers;

Best for: Graph Machine Learning Platform for Enterprise PredictionEmerging, rapid growth
Artificial IntelligenceGraph Machine Learning Platform for Enterprise PredictionWebsiteUpdated May 2026

Company Overview

About Kumo

Kumo is an artificial intelligence company founded in 2021 by Vanja Josifovski (formerly VP of AI at Pinterest and Google) and a team of Stanford AI researchers, headquartered in San Mateo, California. The company has built a graph machine learning platform designed to train and deploy predictive models directly on top of structured data stored in modern cloud data warehouses — specifically Snowflake and Google BigQuery — without requiring data engineers to extract, transform, and move data to a separate ML infrastructure. Kumo's approach uses a graph-based data representation that captures relationships between entities in relational databases, enabling more accurate predictions than flat-table approaches for use cases like churn prediction, fraud detection, customer lifetime value, and recommendation systems.

Business Model & Competitive Advantage

The company raised a $31M Series A led by Sequoia Capital in 2022, reflecting strong investor conviction in the graph ML approach as enterprises grapple with how to extract predictive value from their existing cloud data warehouse investments. Kumo's platform allows data scientists and ML engineers to define prediction tasks in a SQL-like query language, with Kumo handling the graph construction, model training, and deployment automatically — significantly reducing the time and expertise required to build production-grade ML models on enterprise relational data.

Competitive Landscape 2025–2026

Kumo targets enterprises with significant relational data assets in Snowflake or BigQuery that want to operationalize ML predictions without building a separate ML data stack. Its differentiation from general-purpose AutoML platforms lies in the graph-native architecture that naturally models the web of relationships in e-commerce, financial services, and enterprise SaaS data — relationships that traditional tabular ML models ignore or must laboriously engineer as features. The company competes with AutoML platforms, feature store vendors, and internal ML engineering teams at larger enterprises.

Founded
2021
Headquarters
San Mateo, California
Curated content • Fact-checked and verified

Key Differentiators

Emerging Innovator

Kumo is an emerging player bringing innovative solutions to the Artificial Intelligence market.

Frequently Asked Questions

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