Kanva

Improved Business Performance with Predictive AI

Kanva is an innovative software solution that enables all domain experts within your organization to develop predictive AI models on their own, at a fraction of the cost, time and risk of traditional approaches.

Any business scenario where predictions over historical data can make a difference is a potential use case, but common ones include predicting customer churn, forecasting service consumption, and predictive maintenance.

Better predictions better

decisions.

Forecast
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Kanva enables domain experts to create AI-powered regression and classification models based on historical data in minutes or seconds.

Churn prediction example

Any business scenario where predictions over historical data can make a difference is a potential use case, but common ones include predicting customer churn, forecasting service consumption, and predictive maintenance.

Accelerate AI Adoption

Adopting AI is hard. Kanva makes it easier by lowering implementation costs, removing the need for technical skills, and engaging domain experts from the outset, thereby decreasing risk and increasing ROI.

No coding or AI skills required

Domain expertise is all that is needed to create powerful regression, classification and forecasting models in Kanva, making advanced predictive analytics accessible to professionals across various fields

Full ownership

Predictive models in Kanva are created from scratch, do not use any external resources or APIs, and are fully owned by the customer. This ensures data privacy and gives users complete control over AI assets.

Runs on your infrastructure

Kanva can be installed in any Azure subscription from the Marketplace or an ARM template. Manual and custom installations on AWS, GCP, and on-premises are also supported

Industry Use Cases

Energy & Utilities

  • Energy demand forecasting
  • Grid maintenance scheduling
  • Renewable energy output prediction
  • Usage pattern analysis

Financial Services

  • Credit risk assessment
  • Customer churn prediction
  • Fraud detection
  • Portfolio performance forecasting

Logistics

  • Delivery time estimation
  • Fleet maintenance prediction
  • Route optimization
  • Warehouse capacity planning

Manufacturing

  • Equipment maintenance prediction
  • Quality control optimization
  • Production yield forecasting
  • Inventory demand prediction

Retail

  • Sales forecasting
  • Inventory optimization
  • Customer segmentation
  • Price optimization

Telecom

  • Customer churn prediction
  • Data consumption forecasting
  • Medical inventory management
  • Predictive maintenance for infrastructure