
Kumo
Helps businesses to unleash the full potential of their enterprise data for faster, simpler, and smarter predictions.
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 79 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Kumo.ai is a cutting-edge startup that specializes in the generation and deployment of highly accurate predictive models. The company's primary focus is on serving organizations that require precise predictions for their mission-critical use cases. This includes areas such as customer retention, forecasting and anomaly detection, fraud and abuse detection, and anti-money laundering.
Kumo.ai's platform leverages state-of-the-art Graph Neural Networks to learn directly from raw relational data, eliminating the need for manual feature engineering. This results in significantly higher accuracy and efficiency. The platform also simplifies infrastructure and optimizes costs by removing the need for feature pipelines and feature stores.
The company's business model is centered on delivering a return on investment (ROI) faster and across more use cases through its end-to-end platform. This platform covers all major steps in the Machine Learning (ML) lifecycle, including data preparation, model training, explainable AI (XAI), deployment, and ML operations.
Kumo.ai's platform is backed by high availability Service Level Agreements (SLAs) and SOC2 compliance, offering both Software as a Service (SaaS) and Private Cloud operating models. This flexibility allows the company to cater to a wide range of clients, from small and medium-sized businesses to the world's leading organizations.
The startup was built by AI leaders from renowned companies such as AirBnB, Google, LinkedIn, and Pinterest. It has already been deployed and trusted by leading organizations worldwide, demonstrating its potential for growth and profitability.
Keywords: Predictive Models, Graph Neural Networks, Machine Learning, Customer Retention, Anomaly Detection, Fraud Detection, Anti-Money Laundering, Infrastructure Simplification, Cost Optimization, Return on Investment.