Predict

Bring your data to life.
Introducing PurpleCube Data Science. Auto ML. Security Features.
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PurpleCube supports the leading machine learning frameworks and toolkits
Key features to prepare data, and build, train, and deploy ML models
Improve productivity using the first fully integrated development environment (IDE) for ML

The most comprehensive ML service

Accelerate innovation with purpose-built tools for every step of ML development, including labeling, data preparation, feature engineering, statistical bias detection, auto-ML, training, tuning, hosting, explainability, monitoring, and workflows.

The first integrated development environment (IDE) for ML

Boost your productivity using PurpleCube, a fully integrated development environment designed specifically for ML that brings everything you need for ML under one unified, visual user interface.

Functionality designed from the ground up to work together

Use PurpleCube’s integrated capabilities for ML development, so you can eliminate months of writing custom integration code, and ultimately reduce cost.

How can we help?

90

Cost reduction with managed spot training

75

Lower inference costs

10

Increase in team productivity

54

Lower TCO

70

Reduction in data labelling costs

198

New capabilities added since launch

22

Compliance programs (PCI, HIPAA, SOC 1/2/3, FedRAMP, ISO, and more)

Essential features for ML in production

Automate machine learning workflow:

PurpleCube is the first purpose-built, easy-to-use continuous integration and continuous delivery (CI/CD) service for machine learning. Workflows can be shared and re-used between teams.

Detect bias and understand predictions: PurpleCube provides bias detection across the ML workflow, enabling you to build greater fairness and transparency into your ML model. It also includes feature importance graphs that help you explain model predictions and produces reports which can be used to support internal presentations or to identify issues with your model that you can take steps to correct.
Secure your data and code throughout the ML lifecycle: PurpleCube offers a comprehensive set of security features, including encryption, private network connectivity, authorization, authentication, monitoring, and auditability to help your organization with security requirements that may apply to machine learning workloads.