AI is tough, we made it simple.
Define data for modeling. Connect to or upload data. Clean, explore, prepare, extract features, generate test datasets, normalize and visually analyze data for better understanding. Connect both structured and unstructured data sets in Hadoop, Google cloud storage, MSSQL, PostgreSQL, Google drive and more.
Choose from 60+ built-in algorithms to pre-process, transform and enrich data sets. Install packages or write custom data preprocessing algorithms in Jupyter notebooks, add to the platform, share and collaborate with your team effectively.
Build machine learning models using classification, regression, and deep learning techniques. Choose from 100+ ML algorithms to solve problems in various domains including predictive analytics, image, video, audio, text, and voice as well as multivariate time series analysis. Build unlimited models and versions in a click and compare to select the best.
Customize algorithms or create a new one. Create and apply model recipes to different data sets. Tag and track models, share for collaboration, visually analyze model performance and more.
Govern models for safe and ethical AI. Discover automated documentation including records of data preparation and model building steps for easy and fast reproduction. Analyze results and feature performance, share and communicate with peers and portfolio managers to publish models towards deployment.
Manage different versions of created models, audit, schedule and swap out old models for new ones, and more.
Deploy models to production in one click. Generate automated code around machine learning models, utilize automated deployment, effortless Docker image creation and deploy to Kubernetes. Discover API logging and controls, API key and AUTH generation and more.
Monitor and manage models
Discover automated reports, monitor, and manage models deployed to production.
Be an expert with more controls. Utilize user management, control access privileges, manage versions, import models, packages, libraries, classifiers and more. Edit, or create custom solutions in Jupyter notebook. Collaborate with your team effectively.
The dashboards are automatically generated for you. Change a dependent variable and see how it affects your target variable in real time. Customize code to create your own dashboard.
Working with us is simple too.
Data file upload
Create 5 models
Pay to deploy
GPU on demand
CPU scaling on demand
All features included
Big Data connectivity
Unlimited models and versions
Automated API gen
Kubernetes on demand
Our cloud (GCP)
Your cloud (AWS, Azure, GCP)
All features included. Plus:
The value is exponential.
Creates and administers collaboration between teams so that your organization can put cutting-edge technology to work on real issues that matter to your customers.
Automated AI pipeline increases productivity exponentially by providing modules that can be leveraged in building and integrating AI applications into business processes faster and efficiently.
Centralizes and standardizes AI capabilities and products across your organization. All algorithms, pre-existing and new, are managed centrally, making it easy to embed AI products into your business processes and applications.
We break the black box open by making models completely transparent. Your organization can establish accountability, explainability, and fairness by automated documentation and validation.