Self Service Enterprise AI
Data Science and Machine Learning Platform purpose-built for the Enterprise
Drag and Drop | Multi-tenant | Cloud-agnostic | Scalable | Extensible
Advanced Analytics Studio
ML/AI at the Speed of Business
Collaboratively build best-in-class Machine Learning applications in hours using 300+ pre-built drag-and-drop processors in Sparkflows Big Data ML Workbench and make data driven decisions in real time
Load
Enrich
De-dupe, aggregate, join and clean data with 50+ data processors. Even bring in third-party data to enrich to generate deeper insights.
Feature
Identify features that affect the model or just do unsupervised learning with just few clicks.
Build Model
Choose the right model, train and test and choose the one that predicts more accurately. Re-train with more data for better results.
Deploy
Deploy on the stack of your choice. Deploy via Docker image or otherwise on any of the cloud providers for ML model deployment.
Ingest data from wide variety of sources with our 25+ ready to use connectors. Don't find the one you need, build it yourself or ask us.
ML/AI for Everyone
Irrespective of the skillset, empower every Analyst, Citizen Data Scientist, Data Engineer and Data Scientist to power data-driven decisions with ease and efficiency
Data Analyst
No more waiting for Data engineers
to set things up. Incredibly easy to connect to any size datasets and get insights within a few hours. No big data skills required to build advanced ML models to predict customer behavior, churn, or revenue.
Data Scientist
Accelerate big data analytics and
build ML models 10x faster. Choose from 30+ ML nodes to build, train and test models. Re-train models faster with advanced scheduling features and distributed compute engine, and operationalize models with minimal effort.
