Eliminate tedious work and get your models into production faster
The Engine allows Software Engineers to put the focus back on developing core IP by streamlining and automating tedious and repetitive machine learning project work.
The AI & Analytics Engine empowers you to build and manage data-driven AI applications from end-to-end
Click or code - it's your choice. You can get from data preparation to deploying a production-ready model in minutes. No Data Scientists required.
Build, test and deploy performative models into production with one end-to-end ML solution
The Engine is your secret weapon, easy to use, cost-effective, scalable and auditable - without compromising on flexibility or performance. Why not automate some of the more tedious low-value tasks - and simplify the process of getting your models into production?
ANALYZE & PREPARE DATA
BUILD PREDICTIVE MODELS
GENERATE CLUSTERING INSIGHTS
UNDERSTAND MODEL PERFORMANCE & INSIGHTS
Upload, analyze, and then wrangle your data with repeatable data preparation recipes
Upload files or connect your preferred database, use the visualization and analysis tool to quickly understand your data, then use the data-wrangling feature to build a "recipe" of data transformation actions and find new features. This recipe can be used again for incoming data requiring the same actions applied.
Build and test Regression & Classification models with ease
After you select your features and target, the Engine provides a list of recommended algorithms to choose from. Save time by understanding the predictive performance of an algorithm prior to training. Select multiple algorithms to train concurrently and begin testing your ideas.
Quickly cluster your data into natural groupings
Get clustering insights to discover and describe patterns in your data. The Engine uses clustering algorithms to analyze similarities and provides detailed descriptions of the cluster profile. You can export the clustered dataset to use in downstream data science activities or model development.
Explain features that impact model output to business users and perform what-if analysis with different input
Make explaining the performance of your model easier with what-if analysis where you can change feature value and see the impact the predictive output and feature importance, and a clear visualization showing the impact of your features on the predictive output.
Get more done with repetitive data tasks automated and ML workflows streamlined
Robust and scalable pipelines are closer than you think. If you have worn many hats at once as a data practitioner, the Engine is your solution.
The Engine is no one-trick pony. Be assured of benchmarked algorithms, flexible integration options, and data science best practices.
GPU-specific algorithms to cater to your hardware configurations
Competitive performance with ML tools in the market
Automated pipeline creation and hyper-parameter tuning
Repeatable and maintainable ML workflows
Preparation and training of large datasets
Supports flexible machine learning workflows
Spend time building your new product and features - not architecting APIs. Our API SDK lets you integrate machine learning swiftly.
API & SDK Docs updated with APIs
Data transformation action catalogue
On-premise, cloud, or hybrid deployment options
ML model deployment with continuous learning
The AI & Analytics Engine means data-driven teams can unite to collectively build value with data
The Engine is your data science secret weapon, easy to use without compromising on flexibility or performance. Why not automate some of the more tedious low-value tasks - and simplify the process for others?
Perform exploratory data analysis
Easily engineer feature
Understand model performance and insights
Simply deploy in a few clicks
Experience how quickly predictive analytics and streamlined data analysis can five a better understanding of customers and build efficiency into sales cycles.