Delta Bravo AI

TURN MONTHS OF WORK INTO MINUTES.
Delta Bravo AI automates the hardest parts of data science, reducing the time and cost to deploy Machine Learning and AI capabilities.

Delta Bravo AI simplifies your process from the start, curating a series of algorithms proven to work.

TURN MONTHS OF WORK INTO MINUTES.

Delta Bravo AI automates the hardest parts of data science, reducing the time and cost to deploy Machine Learning and AI capabilities.

Hit the Ground Running

Delta Bravo AI simplifies your process from the start, curating a series of algorithms proven to work in real world machine learning use cases and making data ingestion fast and easy.

  • Easy Alignment to Your Use Case
    Start by choosing the type of problem you want to solve; Delta Bravo provides regularly updated libraries cover use cases for Classification, Clustering, Forecasting and Anomaly Detection.
  • Ingest Data from Any Source
    Delta Bravo can ingest data from any source, structured or unstructured, in a single click.

See What Your Data’s Been Hiding

Delta Bravo AI instantly visualizes your data, revealing hidden correlations and identifying issues for automated cleansing or remediation.

  • Deep Insight that’s Easy to Understand
    Delta Bravo AI visualizes influential data relationships, revealing what data (and what relationships within the data) matter most.
  • Automated Analysis Ensures Accurate Outcomes
    Automated feature engineering and analysis identifies inconsistencies that could impact the accuracy of your Machine Learning process and provides the fixes- all in one click.

Automated Testing, Model Selection and Deployment

Save weeks of time with automated model testing, analysis and recommendations. Deploy your model with one click.

  • Feature Engineering and Encoding
    One-hot and label encoding, with automated feature reduction and engineering, ensures data entering your model is accurate and properly formatted.
  • Model Analysis
    Models are trained on your data, leveraging automated test/train splits, data set balancing and hyper-parameter variations.
  • Model Selection
    Models are scored on accuracy, precision and cost metrics specific to your use case, leveraging cross validation, classification, regression and clustering metrics.
  • One-Click Deployment
    With a single click, deploy your Machine Learning model to an API or customized interface.