Add a native data science layer to your technology stack


tag.cortex was designed specifically for integration – in the cloud or on-premise – with an easy-yet-powerful analytics language, a flexible data source SDK, and an API that speaks the language of your organization or user base.

tag.client


  • Connector.Connector.

    Our front-end provides a point-and-click interface for answering deep questions

  • Connector.Connector.

    High-value insights from analyses are saved as re-runnable, sharable reports

  • Connector.Connector.

    Option one – deploy a private tag.client at your-org.tag.bio

  • Connector.Connector.

    Option two – publish your dataset to our public tag.client and crowdsource insight discovery

  • Connector.Connector.

    Option three – connect to the tag.bio API and embed deep analytics into your own front-end

tag.script


  • Connector.Connector.

    Deep questions are asked via analysis queries using tag.script

  • Connector.Connector.

    tag.script has a simple, high-level syntax and a clear perspective of your data sources

  • Connector.Connector.

    Data source connections, transformation and merging is all managed separately via the tag.data SDK (see below)

  • Connector.Connector.

    It’s easy – business analysts and can ask deep questions via tag.script

  • Connector.Connector.

    It’s fast – tag.script outperforms any SQL engine or data science framework

Protocols


  • Connector.Connector.

    A protocol wraps a tag.script analysis into a simple function call, accessible via API

  • Connector.Connector.

    Each protocol can be configured with arguments to answer deep questions in multiple ways

  • Connector.Connector.

    Front-end developers reap the benefits – a consistent, dead-simple and powerful API

  • Connector.Connector.

    A rich protocol layer makes the tag.cortex feel custom-built for your data

tag.data SDK


  • Connector.Connector.

    Every data warehouse configuration is unique – other analytics platforms with generic connectors will under-perform at scale

  • Connector.Connector.

    The tag.data SDK (Java or Jython) enables your team to optimize read access to your sources of data

  • Connector.Connector.

    Data engineers configure how data sources are transformed and merged, removing this complexity from the analysis layer

  • Connector.Connector.

    Deep analytics calculations can be performed within tag.cortex, or closer to your data source – you decide