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 extraction of insights.
Click Learn More to get the whitepaper about Darwin’s unique approach to automated machine learning or Contact Us to get more information.
Darwin provides value for:
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
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
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 CycleDarwin automates the most time-consuming steps of the model life cycle ensuring the long term quality and scalability of models
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.
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.
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.