DARWIN

Accelerate Data Science.
Solve Problems at Scale.

Darwin is an automated model building product that allows you to move from data to model deployment in less time than traditional methods, enabling the rapid prototyping of scenarios and productive extraction of insights.

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Darwin provides value for:

Data Scientists

  • Accelerate the prototyping of use cases and refinement of models

  • Streamline the development and maintenance of thousands of models

  • Control every aspect of the process and integrate into your existing toolchain

Business Analysts

  • Effortlessly create models that directly act on your data

  • Accelerate the extraction of insights that drive business impact

  • Communicate findings with transparency through explainable AI

Executives

  • Efficiently drive AI innovation at scale across the entire organization

  • Augment and enable talent to focus on AI projects that impact the bottom line

  • Meet demand and time to market goals without sacrificing opportunity

End-to-End Model Life Cycle

Darwin automates the most time-consuming steps of the model life cycle ensuring the long term quality and scalability of models
DATA
PREPARATION
Guided Data Preparation
Darwin helps you uncover potential issues in your dataset advising you on the best approaches to fix them
AUTOMATED MACHINE
LEARNING
Data Cleaning
Darwin uses the data preparation profile to automatically convert your datasets into a usable form for algorithmic development
AUTOMATED MACHINE
LEARNING
Feature Generation and Selection
Darwin automatically generates dozens of features from the data to drive toward a better solution
AUTOMATED MACHINE
LEARNING
Algorithm Search and Optimization
Through neuroevolution, Darwin custom builds multiple generations of models to find the most optimal solution tailored to your data
MODEL
OPERATIONALIZATION
Model Deployment
Darwin puts your models in production through guided connection to data sources and model health monitoring
DATA
PREPARATION
Guided Data Preparation
Darwin helps you uncover potential issues in your dataset advising you on the best approaches to fix them
AUTOMATED MACHINE
LEARNING
Data Cleaning
Darwin uses the data preparation profile to automatically convert your datasets into a usable form for algorithmic development
Feature Generation and Selection
Darwin automatically generates dozens of features from the data to drive toward a better solution
Algorithm Search and Optimization
Through neuroevolution, Darwin custom builds multiple generations of models to find the most optimal solution tailored to your data
MODEL
OPERATIONALIZATION
Model Deployment
Darwin puts your models in production through guided connection to data sources and model health monitoring
Guided Data Preparation
Interactively Uncover and Solve Problems in Your Dataset
Assess the Quality of Your Dataset
Uncover problems like missing data, low statistical variance, incorrect data types and more.

Fix Problems in Your Dataset
Get Suggestions to interactively fix problems in your data set and make it usable for the model building process.


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Automated Model Building
Custom Generate Models that Perfectly Fit Your Data
Harness the Power of Genetic Algorithms
Automate the custom creation of models based on Darwin’s patented neuroevolutionary approach.

Control the Model Building Process
Intuitively fine-tune training parameters to take your models to the next level and achieve the accuracy you need.

Understand Main Prediction Drivers
Extract insights and inform decisions through explainable model results that bubble up what matters in your dataset.


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Model Operationalization
Zero Code Model Deployment and Maintenance
Connect to Data Sources
Break data silos with intuitive creation of data pipelines that feed new data into your deployed models.

Automate Model Execution
Dynamically create model execution pipelines to obtain real-time predictions on incoming data.

Monitor Model Health
Track the health of deployed models based on confidence of predictions to inform model maintenance tasks.


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Darwin: Factory of Use Cases

92% Accuracy
Identification of customers at risk for loan defaults and delinquency
94% Accuracy
Identification of customers who are at risk of churning
80% Accuracy
Identification of transactions at risk of being past due
80% Accuracy
Detection of fraudulent activity on electronic transactions
Perfect Classification
Classify Subterranean Drill-head Operational States
90% Accuracy
Predict Automotive Sub-component Quality During Assembly
83% Accuracy
Identify Degradation In Commercial Aircraft Components
90% Accuracy
Detect Impurities During Iron Ore Manufacturing
Accuracy of models for each scenario depends on the quality and relevancy of input datasets.

Additional Resources

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