Simplified deployment configuration
End-to-end delivery capability for your machine learning needs. From data ingestion to model deployment, use the server to configure and track your prediction ecosystem.
Scale and automate your predictions, increase speed of experimentation, and add feature stores.
Integrates seamlessly with all leading open-source prediction technologies.
Access the server via the Workbench, Jupyter Notebooks or directly via the REST API.
Client Pulse Responder
Deploy predictions in production
Put the models you created in the workbench into production and see results in milliseconds.
Fully configurable and automated, the client pulse responder facilitates fast deployment with automatic pipelines and containers.
Uses continuous re-enforcement learning concept and continually logs and learns from every interaction, to constantly improve accuracy.
Work in Python
Jupyter notebooks with ecosystem intelligence for an alternate platform to perform machine learning activities.
Provides increased flexibility for data scientists with coding knowledge. Increase productivity and automation capabilities by eliminating repetitive activities and replicating important processes.
Use notebooks to ingest data, retrain models, setup deployments and much more…
Low-code machine learning interface
User interface for mapping projects. From hypothesis input, to validated use-case model creation.
Conceptualise, design, experiment, simulate and validate your machine learning models.
Prepare your data, enrich and create features, select algorithms, and use machine learning techniques to build predictions.
Real-Time analysis with Grafana
Instant connection to Grafana Dashboards gives you real-time analysis of your predictions in production.
Grafana offers powerful insight into your prediction’s performance with heatmaps, histograms, graphs, geomaps etc.
Query, visualise, alert-on and understand your data no matter where its stored.
Data intelligence with superset
Seamless connection to Superset Dashboards that allow for business tracking.
Quickly identify successful or underperforming predictions.
Lightweight with intuitive design, Superset allows for humans of all skill sets to explore their data.
Meaning, you don’t have to be a data scientist to see what your data is telling you.
Pipelines for Enterprise data
Data scheduling pipelines for enterprise databases with Airflow, and other connected technologies.
Retrain models, update deployments, and automate changes in seconds.
Increase continuous intelligence with automated model pipelines that enhance your data and allow models to be productionized more efficiently.
Connected technology for Enterprise
Open-source technology for enterprise ready configurations. Training and scoring servers simplify your training process with default models and pre-defined scoring templates.
Includes pre-prepared personality, sentiment, and topic analysis models ready to build into your application.
Easy access via API. Use Internal workers for all your data ingestion and feature store creation with orbit, ludwig, presto and more…