The Feature Discovery Platform

Discover features using award-winning technology. Improve ML models, derive unbiased insights and deploy transparent pipelines.

“Its exceptional data management and feature engineering capabilities make it especially suitable for the most challenging use cases…feature engineering is powerful and scalable, even across tens of tables with billions of rows.”

Key Features

FEATURE DISCOVERY
AND ENGINEERING

FEATURE QUALITY
& SELECTION

FEATURE TRANSPARENCY
& INSIGHTS

FEATURE PIPELINE
& QUERY

Features from Relational Data

Process transactional, temporal geo-locational, or text data directly from multi-table structured data. Explore millions of feature patterns by auto-joining multiple tables automatically.

Find Features that Matter

evaluate features with patented supervised learning techniques to avoid temporal leakage, collinearity, overfitting, and more. Auto-cleanse data with value canonicalization, outlier detection, and missing value imputation.

Quantitative & Qualitative Transparency

Understand features through metrics. From basic statistical measures to advanced feature importance scores. Generate feature explanations, blueprints, and queries for full transparency of feature pipeline and lineage.

Production-ready Feature Pipelines

Generate ready-to-deploy feature pipelines and minimize the headache between data science and data engineering teams when productionalizing feature queries.

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Learn More About dotData’s Solutions

Empower your Feature Stores

Accelerate feature discovery and iteration from a Python-based interface embedded in your Notebook workflow.

Seamless integration with data and ML ecosystems like feature stores, Databricks, Snowflake, and more.

Automate Data Science

Streamline feature discovery and engineering for Machine Learning. Build predictive analytics models with the power of AutoML technology.

Leverage a GUI-based no-code platform designed for analytics teams. Co-develop your AI applications with. our world-class data scientists.