Extraordinary intelligence from every day teams

Unlock the value of your data with low-code AI software.

Simple enough to be used by those with limited AI experience and robust enough to provide data scientists with pre-built workflows and APIs that increase their production, Kepler can automate and transform even the most complex AutoML workflows.

EASY TO USE AI

Embrace a business-first approach to AI projects.

  • Step-by-step walkthrough for common AI use cases
  • High touch customer engagement model with AI roadmap planning
  • Guidance on how to build, run, and use AI models

DATA PREPARATION

Prepare, cleanse, and augment data for AI readiness.

  • Automated feature engineering and data preprocessing
  • Up to 10GB training data for a single model
  • Support for tabular, text and image data

AI MODEL TRAINING

Accelerate model development with intelligent AutoML.

  • Supervised and unsupervised machine learning tasks including Segmentation, Classification, Tabular regression, Anomaly detection, & Time Series Forecasting
  • Each AI pipeline is custom built and optimized based on your data and ML objective
    Over 100 data transformation processes and algorithms
  • 5 AI technologies including Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Time Series

AI INSIGHTS AND INTERPRETABILITY

See beyond the black box with easy to interpret evaluation tools.

  • Visual indicator confirms when model is ready for production
    Contextual explanations on how to interpret model results and recommendations on next action
  • Workflow-driven dashboards configured according to machine learning task
    Model performance metrics for data science validation
    Interpretability reports show how data correlates with each prediction

INTEGRATE AND PREDICT

Effortlessly send AI models into production.

  • On-demand batch predictions available within directly in the platform
  • One-click API deployment
  • Model export for on-premise or private cloud deployment

AI IN OPERATION

Monitor and retrain models from a central location.

  • User-based permission management supports production model governance
  • Drift detection with model re-evaluation with new datasets
    Model retraining with new datasets
  • Version management and one-click replacement of existing production models
  • Model API usage analytics and tracking

What our customers say

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