What is Kumo?

Each year, organizations invest heavily in managing vast amounts of cloud data, yet they generally allocate only a fraction of these resources for predictive analytics. Kumo enables these organizations to fully harness their enterprise data, allowing for faster, simpler, and more intelligent forecasting. Unlike traditional SQL queries, which primarily focus on analyzing past data, Kumo empowers users to delve into future possibilities. Standard enterprise AI techniques often evaluate predictive analyses in a vacuum. However, enterprise data represents a dynamic, interconnected web of business relationships, customer engagements, transactions, and more. By tapping into this interconnectedness, Kumo makes a remarkable leap forward in AI technology. Its advanced graph learning features provide significantly improved accuracy, even with considerably less training data. Users can seamlessly transition from raw data stored in databases to generating dependable predictions over time. Notably, Kumo can process large datasets in minutes, as opposed to the traditional hours or days typically required, thereby improving efficiency in data-driven decision-making. This groundbreaking innovation not only simplifies the prediction process but also empowers businesses to utilize their data more effectively, ultimately transforming how they approach forecasting challenges. As a result, organizations can unlock new opportunities and drive strategic initiatives forward with confidence.

Integrations

No integrations listed.

Screenshots and Video

Kumo Screenshot 1

Company Facts

Company Name:
Kumo
Company Location:
United States
Company Website:
kumo.ai/

Product Details

Deployment
SaaS
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Kumo Categories and Features

Predictive Analytics Software

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis