An open collaborative data science platform that allows scientists to work together using datasets securely transferred from different trusted sources. It builts on Qvantum for gathering, harmonizing, and integrating heterogeneous data from all kinds of sources (IoT, proximal and satellite sensing etc.) to support R and Python based analytics.
Ready-to-use datasets & toolsets allow your team to focus on their real work
Baked-in security ensures your organization’s data are protected
Flexible APIs simplify integration of toolsets of different sub-disciplines
Choose from on-premise, cloud or even hybrid deployment plans customized for your organization
Infrastructure management with built-in enterprise-grade monitoring and reporting
Better accessibility, discoverability, and usage of critical datasets with optimized infrastructure expenditures
A bespoke white-label version of dataLABS, customized to address your data science challenges, deployed on-premise, on your cloud infrastructure or hosted by us, your choice!
of your investment goes to idle infrastructure
to build and deploy your first analytical workstream
Data sharing & discovery
Oganization-wide secure data sharing and discovery services
Multi-faceted collaboration spaces at customizable levels (project teams, groups, labs, etc.)
Long-term, persistent, cost-efficient data preservation
Role-based access and Single Sign-On
Index and search internal data through Qvantum to enable secured web-based and API access to organizational assets
Elastic compute resources scaling up and down as needed, orchestrated by Kubernetes
Need a tailor-made solution?
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