Use casesUpstream data control for every workload.
Same platform, one problem at a time. Twenty-one scenarios across five categories. Start with the one closest to the problem in front of you.
Control the signal
Decide what is true and what is allowed before anything leaves the node.
Ensure accurate, consistent, and reliable data across all your systems with automated validation and cleansing.
Enforce policies, maintain compliance, and ensure data integrity across all systems.
Operationalize data governance with automated policy enforcement.
Eliminate redundant data and reduce storage costs while maintaining data integrity across distributed systems.
Gain complete visibility into your data pipelines with real-time monitoring, alerting, and anomaly detection.
Cut the bill
The cheapest byte is the one you never shipped.
Evaluate whether filtering, deduplication, and routing at the source changes customer-specific platform costs.
Evaluate source-side filtering, deduplication, and routing against customer-owned SIEM volume and coverage baselines.
Validate and filter security telemetry before it reaches your SIEM, then measure ingestion volume and triage time against a customer baseline.
Extract data from any source with intelligent parsing and transformation.
Move with the data
Data that has to be somewhere else, without a copy you cannot account for.
Connect and unify data from disparate sources with seamless integration pipelines.
Replicate data across systems with consistency guarantees and conflict resolution.
Activate your data across marketing, sales, and operational systems in real-time.
Manage and orchestrate data across thousands of distributed endpoints.
Build scalable data warehouses that span edge, on-prem, and cloud environments.
Ship AI faster
Models fail on inputs, not architecture. Fix the signal first.
Ship AI products faster by fixing the signal before it breaks your models. Reduce data noise and enable real-time inference.
Evaluate data preparation and routing near customer-selected ML runtimes and hardware.
Cut model debug time in half by fixing the signal first. Accelerate ML pipeline velocity and reduce model development time.
Transform raw data into actionable intelligence with real-time analytics and automated reporting.
Orchestrate at scale
Thousands of nodes behaving like one system you can reason about.
Coordinate complex data workflows across distributed systems with intelligent scheduling and dependency management.
Run production-grade data workflows with continuous pipelines, automated recovery, and upstream quality enforcement.
Comprehensive data management for enterprise-scale operations.
Ready to solve your data challenges?
See how Expanso can help you control data at the source and scale your operations.
