Accelerate and scale up your AI

The PI.EXCHANGE AI & Analytics Engine is designed with the vision to bring the power of AI to everyone and every business - big or small.

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Model
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MODEL RECOMMENDATION ENGINE

Our one-of-a-kind Model Recommender predicts and shows you how well your models will perform, before you commit any money or time to further development
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RICH MODEL REPORTOIRE

The Engine is seamlessly integrated with our evolving and growing Model Template Repertoire, so you will be notified if any of your old models can be improved with the latest templates!
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IMMEDIATE RESULTS

Experience immediate model evaluation with instant results as our platform provides on-the-spot feedback and recommendations.
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SCALABLE & AUTOMATED ANALYSIS

Our platform is capable of ingesting data from diverse sources, such as local files, Cloud storage, AWS S3, MongoDB, Cassandra, Postgres SQL, or Spark/Hadoop clusters. Your data is instantly analysed to produce key statistics, insights and visualizations.
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WORLD-CLASS TIME SERIES FORECASTING

Our Time Series Forecasting models are among the best on the market with proven capabilities. We help you to get beyond univariate forecasting and standard techniques.
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DIVERSE ML PROBLEM SUPPORT

The Engine offers robust support for a wide range of ML problems, covering the most common tasks needed by businesses: Classification, Regression, Clustering, and Time Series Forecasting.
Time Series
Feature Engineering
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AI-POWERED FEATURE ENGINEERING

The Engine provides automated data pre-processing and feature engineering for accurate model selection. We have you covered for all the necessary pre-processing steps in your ML pipeline.
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SUPER USER-FRIENDLY PIPELINE

An elegant workflow brought to you through an advanced, contextually-aware UI that enables even novice users to build high performance ML applications in under 10 minutes
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UNDERSTAND YOUR MODELS VISUALLY

We visually convey performance metrics relevant to your models with Confusion matrices, ROC curves, Precision-Recall curves, and more. All this is easily understandable to non-data science audiences, making it simple to sell your AI to non-technical stake holders and increase buy-in across your business.