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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.

What is Continual?

Effortlessly create continuously evolving predictive models without the complexities of detailed engineering procedures. Integrate smoothly with your existing cloud data warehouse, making full use of all available data stored in its current location. Share features and deploy sophisticated machine learning models easily by utilizing just SQL or dbt, with the option to enhance capabilities using Python when necessary. Keep predictions neatly organized in your data warehouse to ensure easy access for both your business intelligence and operational systems. Manage features and predictions right within your data warehouse, which removes the need for any extra infrastructure. Build state-of-the-art models that leverage all your data without having to write code or set up complex pipelines. Encourage collaboration between analytics and AI teams thanks to the extensive flexibility offered by Continual's declarative AI framework. As your operations scale, monitor features, models, and policies through a declarative GitOps workflow. Accelerate the model development process with a collaborative feature store and a data-driven approach, while also ensuring smooth communication across teams. This forward-thinking strategy not only streamlines workflows but also promotes a more cohesive environment for deriving insights and achieving successful outcomes. Ultimately, this leads to a more agile response to business needs and an enhanced capacity for innovation.

Media

Media

Integrations Supported

Snowflake Cortex AI

Integrations Supported

Amazon Redshift
Databricks
Google Cloud BigQuery
Snowflake

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Kumo

Company Location

United States

Company Website

kumo.ai/

Company Facts

Organization Name

Continual

Date Founded

2019

Company Location

United States

Company Website

continual.ai/

Categories and Features

Predictive Analytics

Not specified

Categories and Features

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