Graviton consistently delivers 25–75% savings in time and effort across the data product lifecycle. By automating development, deployment and monitoring workflows, we help data engineering and platform teams eliminate manual bottlenecks—freeing them to focus on innovation rather than repetitive operational tasks.

Datascope is Graviton's unified collaboration workspace, purpose-built for every data role. It delivers role-based workflows, cloud resource provisioning, data product management, centralized configuration and self-service BI dashboards—giving data engineers, analysts and business leaders a single environment to build and manage data products together.

Graviton provides holistic, real-time cost visibility at the platform, data product and individual resource levels. Teams can collaboratively identify inefficiencies and act on optimization opportunities—ensuring clients maintain tight control over cloud spending while confidently scaling their data operations.

Absolutely. Unstructured data parsing is a core Graviton capability. We've built best-in-class elements directly into the framework, enabling teams to extract, process and operationalize value from unstructured content—supporting more comprehensive data strategies across diverse enterprise environments and industries.

Graviton includes out-of-the-box use cases for all major industries, including financial services, healthcare, manufacturing, retail and more. These prebuilt accelerators—paired with reference architectures for every significant public cloud—help clients reduce time-to-value and address industry-specific data challenges from day one.

Graviton supports every leading public cloud through purpose-built reference architectures. We combine hyperscaler capabilities with HCLTech frameworks and best-of-breed partner products, enabling clients to deploy hybrid, multicloud data platforms that align with their existing infrastructure and long-term cloud strategy.

Yes. Through our Xenius data services component, Graviton provides robust capabilities for synthetic data generation. This allows teams to create realistic, privacy-safe datasets for testing, development and AI model training—without exposing sensitive production data or compromising compliance requirements.

Synergizer is our platform observability component, delivering pipeline monitoring, affected schema tracking, data lineage, alerts management and robust data governance—all from a centralized DataOps control center. It gives platform teams the visibility and control they need to maintain reliable, well-governed data operations at scale.

Yes. Differential privacy is among Graviton's built-in, best-in-class data protection capabilities. Through our Xenius data services, we help clients implement privacy-preserving techniques that protect individual data subjects while still enabling meaningful analysis, balancing analytical value with rigorous privacy standards.

Through our Xenius data services, Graviton provides a PII-compliant semantic domain layer directly on your data lake. Combined with masked data containerization and security auditing capabilities, we help clients enforce consistent privacy controls and meet regulatory requirements without disrupting data accessibility for authorized teams.