Putting the “data”
back into data science

Increase the predictive power of your ML models with automated data discovery and feature generation.

Explorium ML Engine is the first of its kind data science solution

The ML Engine provides end-to-end capabilities from automated data discovery out of thousands of premium, public, and proprietary data sources, through automated feature generation and selection, all the way to model building and deployment. Customers use it as powerful data enrichment to fuel their existing models, or as a comprehensive AutoML platform for operationalizing and accelerating data science.

“Obtaining quality training data for AI tasks is cumbersome and, at times, not even an option because the data is scarce, partial, incomplete, difficult to collect or unavailable for a specific business problem. However, vendors are now working to enrich models with external data that can add to more contextual awareness in AI projects”

Cool Vendors in AI Core Technologies, May 2021

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How our ML engine works

Explorium's automated machine learning platform

Define your goals

Looking to mitigate risk? Predict customer lifetime value? What about forecast demand, optimize ad spend, or create custom experiences? No matter how you’re looking to improve your business with machine learning, Explorium can help.

See our use case library and get your wheels turning

Enrich your data with augmented data discovery

Here’s where the fun starts. Connect your internal data to the Explorium platform and automatically access a universal network of thousands of external data sources — public, premium, and proprietary. To save you time and efforts, the platform not only ensures data quality, coverage and compliance, but also automatically cleans, harmonizes, and matches the data with your core data.

Check out our data gallery

Get your feature set

With the Explorium ML engine, every column has meaning. The platform automatically understands your data based on context, engineers and generates features, and presents you with an optimal feature set through an internal ranking mechanism based on feature interactions, feature scoring, and proprietary algorithms.

Learn more about how automated feature engineering works

Select your model

Leveraging best-in-class algorithms and a deep understanding of your dataset and features, the platform automatically explores hundreds of potential models and hyperparameter configurations on top of the most impactful features from the most relevant data sources — inside and outside your organization — and serves them to you within the same platform

Deploy

Take your models from the whiteboard to production and drive dependable business impact. Decide instantly if you want to consume features directly or build a model on top of them. Use our API to interact with the Explorium engine from your code or work with our user-friendly interface directly. Plus, easily monitor and continuously update production-level models to battle data and model drift and ensure they stay relevant.

See how our customers deploy their models

Generate insights

Using external data means the insights from your models have greater context and higher accuracy. Plus, with the time saved by automating a major part of your data science pipeline you have more time to focus on using insights to drive ROI across business functions and departments.

Check out the many ways our customers drive ROI

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