Kumo Co-Founder Hema Raghavan Named to Inc.’s 2026 Female Founders 500

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Predict Instantly.

Is this transaction fraud? Will this customer churn? Where should we place this ad? What's the demand next quarter?

Feature engineering and ML pipelines take months to build per question. Even then, your model only sees your own data, a ceiling you can't engineer past. KumoRFM (Relational Foundation Model) is like GPT, but for structured data. Already pre-trained on billions of relational patterns across thousands of datasets, it delivers a combination of accuracy and speed that would otherwise be impossible to achieve.

Book a demo and get a free trial of the full platform: data science agent, fine-tune capabilities, and forward-deployed engineer support.

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Loved by data scientists, ML engineers & CXOs at

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From a leadership team with proven experience

Vanja Josifovski

Vanja Josifovski

CEO and Co-Founder, ex-CTO Airbnb, ex-CTO Pinterest

Jure Leskovec

Jure Leskovec

Co-Founder & Chief Scientist, Stanford Professor

Hema Raghavan

Hema Raghavan

Co-Founder & Head of Engineering, ex-AI Lead, LinkedIn

Superhuman Prediction Accuracy

KumoRFM isn't limited to your data alone. Pre-trained on billions of relational patterns across diverse datasets and fine-tuned to your schema, it sees what no in-house model can. As per the SAP SALT benchmark.

LLM

GPT4 + AutoML

63%

PhD Data Scientist

Feature eng. + XGBoost

75%

KumoRFM

Relational Foundation Model

91%

One Platform. One Model. Predict Instantly.

KumoRFM

Relational Foundation Model

Turn structured relational data into predictions in seconds. KumoRFM delivers zero-shot predictions that rival months of traditional data science. No training, feature engineering, or infrastructure required. Just connect your data and start predicting.

For critical use cases, fine-tune KumoRFM on your data using the Kumo platform and Data Science Agent for 30%+ higher accuracy than traditional models.

Book a demo and get a free trial of the full platform: data science agent, fine-tune capabilities, and forward-deployed engineer support.

Book a DemoTry Free

Why Kumo

01Zero-Shot Foundation Models

Get accurate predictions on relational data instantly—no training or ML setup required.

Read the KumoRFM announcement
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02Real-Time Predictions
03Native Data Warehouse Integration
04Fine-Tuning at Scale
05Enterprise-Grade Security
06Transparent Explainability

How It Works

Simply connect your data, start asking predictions, and get results.Want more control? Fine-tune the model for your specific use case.

Connect your data
STEP 1

Connect your data

Integrates directly with your warehouse, no additional pipeline setup.

Ask a predictive question
STEP 2

Ask a predictive question

Ask questions in plain English and let Kumo do the modeling for you.

Act on predictions
STEP 3

Act on predictions

Get clear predictions and push them instantly into your workflows.

churn_prediction.pql
PREDICT COUNT(transactions.*, 0, 90, days) = 0
FOR EACH customers.customer_id
WHERE COUNT(transactions.*, -60, 0, days) > 0

3 lines. No feature engineering. No pipeline code.

For developers

Predict in a few lines of SQL

Kumo's Predictive Query Language (PQL) replaces months of feature engineering, model training, and pipeline work with a few lines of SQL-like syntax. Describe what you want to predict — Kumo handles the rest.

PQL docs|Python SDK

Trusted by leading enterprises

From startups to enterprises, leading organizations rely on Kumo to deliver predictive insights at scale.

1.8%

Engagement lift across 30M+ users with Kumo models.

Doordash order prediction

5.4x

Conversion lift achieved by Databricks with Kumo.

3.2x

Expansion revenue lift through Kumo personalization.

5.5x

Conversion lift from Kumo-powered ad accuracy at Reddit.

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+10%

Conversion lift achieved by iFood with Kumo.

UK #1

Retailer powering personalized product recommendations.

Measurable outcomes across every industry

From retail to finance to media, Kumo delivers predictive insights that drive real business impact.

Financial Services

Strengthen risk controls and customer value.

Explore Financial Solutions

Retail & CPG

Drive end-to-end operational efficiency and personalized shopping.

Explore Retail Solutions

Media & Entertainment

Unlock hyper-personalized enagagement at scale.

Explore Media Solutions
15

Industries served

Financial ServicesRetail & CPGMedia & EntertainmentInsuranceHealthcareAd TechTelecomB2B SaaSSupply ChainManufacturingGamingTravel & HospitalityReal EstateEducationEnergy & Utilities

One platform, every prediction

Supports hundreds of use cases

From fraud detection to demand forecasting — every prediction runs on the same relational foundation model.

Transaction fraud detectionAccount takeover predictionFraud ring detectionDemand forecastingChurn predictionLead scoringProduct recommendationsCustomer lifetime valueEntity resolutionCross-sell / upsellCrypto mixer detectionMoney mule targetingInventory planningClaims fraud detectionContent personalizationChargeback forecastingWin-back targetingSearch rankingBudget allocationPig butchering detectionCustomer acquisitionSee all use cases
Podcasts

Conversations with industry leaders

  • Leaving comfort _for growth_
  • _AI beyond_ chatbots in 2026
  • Foundation _Models and Agents_
  • Specialized AI Models for the _Enterprise with Kumo’s Hema Raghavan_
  • The AI Revolution Finally Comes to Structured Data
  • _Relational Foundation Models:_ Unlocking the Next Frontier of Enterprise AI
  • Data untuck: _Jure Leskovec_ on unleashing the power of networks
  • Developing better predictive models with _Graph Transformers_
  • Unlocking the _Power of Relational Data with Kumo_ - featuring CEO Vanja Josifovski
  • From Pinterest and Airbnb to _Kumo AI_: Reinventing Enterprise AI
  • From building at _Pinterest and Airbnb_ to revolutionizing AI at KumoAI
View All
Research

Cutting-edge research behind our models

Our peer-reviewed work shapes the future of predictive intelligence across industries.

Systems & InfrastructureFeb 5, 2026

PLUREL: Synthetic Data unlocks Scaling Laws for Relational Foundation Models

Jure Leskovec

Jure Leskovec

Read More
Graph TransformersNov 12, 2025

Smarter Adaptive Graph Sampling for More Accurate Graph Learning

Vid Kocijan

Vid Kocijan

Read More
Systems & InfrastructureNov 6, 2025

Accelerating Graph Construction for Production Graph Transformer Workloads

Josh Joseph
Min Shen
Jinu Sunil

Josh, Min, Jinu

Read More
Graph TransformersOct 1, 2025

Large-Scale Training of Graph Transformers - and How the Kumo Training Backend Works

Zack Drach

Zack Drach

Read More
View All

Backed by the best in the industry

Sequoia CapitalSV AngelA CapitalSamsung Next

With backing from Frank Slootman and Sridhar Ramaswamy (Snowflake), Ben Silbermann (Pinterest), Matei Zaharia (Databricks), Kevin Hartz (A*), Tristan Handy (dbt Labs), Ron Conway (SV Angel), and others.

Frequently Asked Questions

Ready to transform your business data into action?

Get started with Kumo today and unlock the full potential of your business data.

Try KumoRFM FreeTry Fine-Tune