HOW CLARASTREAM WORKS
ClaraStream introduces a Data Movement Plane™ between where data is created and the systems that use it. Incoming data is transformed in flight from its source form into prepared data, then published as a near-real-time, continuous stream for multiple downstream uses.
Prepare once. Use many.
AI / ML · AI Agents · Applications
Analytics / Operations · Storage / Data Platforms · Other Data Uses
WHY THE ARCHITECTURE CHANGES
In many environments, applications and systems collect, prepare, move, and store the same underlying data independently.
As additional applications and downstream uses are introduced, new data paths are often added with them.
That creates repeated work across the infrastructure and makes it harder to get prepared data where it needs to go quickly.
ClaraStream creates a shared Data Movement Plane™ where incoming data can be transformed in flight and made continuously available for multiple downstream uses.
DATA-PRODUCING INFRASTRUCTURE
DATA-PRODUCING INFRASTRUCTURE
Prepare once. Use many.
LISTEN
ClaraStream receives incoming data near the point where it originates, before every downstream application creates its own independent collection and preparation path.
TRANSFORM
ClaraStream transforms incoming data in flight from its source form into a structured, preprocessed form that downstream systems can consume more directly.
This preparation happens in the shared data path rather than being repeated independently for every downstream use.
STREAM
ClaraStream publishes a near-real-time, continuous stream of freshly prepared data that authorized downstream subscribers can consume for their own purposes.
A subscriber may be an AI / ML system, AI Agent, application, analytics or operational system, storage or data platform, or another downstream use.
ClaraStream provides a near-real-time, continuous stream of freshly prepared data. It is not the historical system of record. Systems that need long-term retention can subscribe to the stream and store the data in the storage layer designed for that purpose.
One prepared stream. Multiple uses.
DOWNSTREAM USE
The systems consuming a ClaraStream stream should not need to repeat the same upstream preparation work independently.
Instead, they subscribe to prepared streams and use that data according to their own purpose.
Representative downstream uses include:
Use fresh, prepared data as an input to models, inference workflows, and AI-enabled applications.
Give agentic systems access to current, prepared data they can use in context.
Consume prepared streams without creating another independent collection and preparation path.
Use current, prepared data for analysis, monitoring, decision support, and operational workflows.
Store subscribed data for historical access, retention, downstream retrieval, or reuse.
Use prepared data for other downstream systems, workflows, and services as requirements evolve.
DEPLOYMENT MODEL
ClaraStream is designed to fit into existing infrastructure rather than requiring the surrounding environment to be rebuilt around it.
Customers can start with a focused deployment around a defined data path, then expand ClaraStream as the use case, environment, and deployment requirements grow.
The objective is to introduce ClaraStream where it creates value first, then scale its role as needed.
Start where the data is already running.
CLARASTREAM PRODUCT FAMILY
Core prepares data on conventional server infrastructure. Edge performs the same preparation role on programmable infrastructure closer to the source. Stream distributes prepared data. Flow delivers Core and Stream together.
Edge is software for accelerated data preparation on programmable infrastructure closer to the data source. It performs the same Listen + Transform role as Core using a different execution environment. The initial implementation is being developed for the Napatech F2070X DPU, with evaluation targeted by the end of 2026.
ARCHITECTURAL BOUNDARIES
ClaraStream is not a downstream application or destination platform.
Its role is earlier in the path: receive data, prepare it in flight, and make it continuously available for whatever systems need to use it.
ClaraStream is usage-agnostic. The same prepared data can support AI, AI Agents, applications, analytics, operations, storage, and other downstream uses without ClaraStream needing to know or control how that data is ultimately used.
This keeps the Data Movement Plane™ focused on data preparation and movement.
GET CLARASTREAM
Start with ClaraStream software and the infrastructure you already operate.
