BHC3 Ex Machina

Advanced Analytics Designer


Accelerate time-to-insights

BHC3 Ex Machina facilitates data science application for business analysts and other business users. It enables visual creation of analytics and machine learning models. Incredibly fast data processing combines with intuitive data exploration and machine learning tools, all in one workspace. Analyze, explore, and derive business insights quickly—all without writing a single line of code.

Ex Machina Screenshot

Simplify data exploration and analytics

Fuse together and visually explore data across multiple datasets ingested in the BHC3 AI Suite. Build smart customer segments, predict asset failures, and anticipate your future business needs. Apply the most advanced predictive algorithms to deliver the next level of business insights in minutes.



  • Integrate disparate data from enterprise systems, external sources, and real-time data feeds.
  • Leverage existing data sources from BHC3 AI Suite.
  • Conveniently import information as CSV files.
  • Accelerate data preparation with built-in data-quality and blending tools.
  • Access and use the entire dataset in memory.


  • Highlight interesting moments in time.
  • Filter out distractions to see patterns emerge.
  • Choose the most effective visual representation.

Learn & Predict

  • Access the latest machine learning algorithms (e.g., KMeans, Linear Regression, PCA, Decision Trees, Random Forest, Gradient Boosted Trees).
  • Use intuitive drag-and-drop features, without writing code, to generate metrics and run statistical functions.
  • Iterate quickly to add more data, consider new variables, or tune your model.


  • Review every step and build trust in your results.
  • Share processes and outputs across teams with one click.
  • Run everyday reports or generate business intelligence.

Proven results in weeks, not years

Get insights into’s capabilities, enterprise AI best practices, and highest-value use cases.
Understand BHC3 AI Suite's capabilities, its model-driven architecture, and test it against your company's sample data set.
Identify a high-impact business problem and collaborate with the team to rapidly build an AI application that solves it.
Scale and deploy a tested application into production. Incorporate user feedback and optimize algorithms to drive maximum economic value.

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