We’re excited to announce that DeltaStream is now available on Google Cloud Platform (GCP).

This expands DeltaStream to teams building modern data applications and AI agents on Google Cloud, while also making DeltaStream Fusion available to GCP customers.

For AI developers, the impact is especially important.

LLMs are getting better at reasoning. Agent frameworks are getting easier to use. But for many production use cases, the biggest challenge isn’t the model, it’s giving the agent the right context at the right time.

An agent can only make a good decision if it understands what is happening now.

DeltaStream provides that missing layer.

Fresh Context for AI Agents on GCP

Many agents today retrieve raw data from databases, APIs, streams, and other systems every time a user asks a question.

That works for simple use cases.

But once an agent needs to understand changing conditions across multiple data sources, runtime data retrieval quickly becomes much more complicated.

The agent may need to:

  • Join information from multiple systems.
  • Determine which events are the latest.
  • Calculate rolling metrics and trends.
  • Track state across thousands or millions of entities.
  • Detect what changed in the last few seconds or minutes.
  • Make multiple tool calls before it can even begin reasoning.

Instead, DeltaStream continuously processes these data sources and maintains fresh, prebuilt context that is ready for the agent to use.

The architecture becomes much simpler:

Streaming + operational data → DeltaStream → Fresh Context → AI Agent

The agent can spend its tokens and reasoning capacity answering the question rather than rebuilding the data pipeline on every request.

Three Examples Where Fresh Context Changes the Agent

1. Payment and Fraud Operations Agent

Imagine an agent helping an operations team decide whether a payment should proceed.

The decision may depend on the customer, transaction history, merchant risk, recent account activity, payment attempts, fraud signals, and events that happened only seconds ago.

Pulling all of this independently at inference time makes the agent responsible for assembling a distributed data pipeline.

With DeltaStream, those signals can be continuously combined into a fresh payment context.

The agent receives the current situation and focuses on what it does best:

Reasoning about what happened, explaining the risk, and recommending the next operational action.

2. Security Operations Agent

A security agent investigating suspicious activity may need to understand recent login events, endpoint activity, identity information, historical behavior, alerts, and what changed across the environment in the last few minutes.

A static knowledge base is not enough.

And querying dozens of raw event sources during every investigation creates latency, complexity, and unnecessary context.

DeltaStream continuously transforms those signals into fresh security context so the agent can immediately answer questions such as:

What changed? Why is this suspicious? Which users or systems are affected? What should the analyst investigate next?

3. Real-Time Customer Operations Agent

Consider an agent responsible for helping customers when something goes wrong, an order fails, a shipment is delayed, a checkout is abandoned, or a service becomes unavailable.

The agent needs more than customer history.

It needs the current operational state:

What just happened?
What attempts have already been made?
Has the situation changed?
Are other systems experiencing the same problem?
What actions are still available?

DeltaStream maintains this continuously changing context so the agent can respond based on what is happening now, not what was true when data was last synchronized.

Beyond AI: DeltaStream Fusion on GCP

GCP availability also brings DeltaStream Fusion to Google Cloud customers.

Fusion enables teams to build and operate real-time data pipelines that continuously process, join, aggregate, and materialize streaming and operational data.

That same infrastructure can power:

  • AI-agent context
  • Operational dashboards
  • Real-time applications
  • Event-driven workflows
  • Streaming analytics

Organizations no longer need one architecture for real-time applications and another for AI.

The same continuously maintained data products can serve both.

The Missing Layer Between Your Data and Your Agents

Production AI agents need more than models and tools.

They need a way to continuously understand the changing state of the business.

That is the role DeltaStream is designed to play: build the fresh context once, continuously maintain it, and make it immediately available to every agent that needs it.

Now GCP teams can run that architecture directly in their Google Cloud environment.

Let Us Build Your First Fresh-Context Agent on GCP

You do not need to build the agent, design the real-time pipelines, or figure out how to connect everything together yourself.

DeltaStream can build the complete solution for you.

Bring us a use case where an AI agent needs fresh operational data, and our team will build the agent and the fresh-data context together as an end-to-end solution.

We can help you:

  • Connect the relevant streaming and operational data sources.
  • Design the fresh context the agent needs.
  • Build the real-time DeltaStream pipelines that continuously maintain that context.
  • Build and configure the AI agent that consumes it.
  • Connect the agent to the fresh context.
  • Deliver an end-to-end working solution you can demonstrate to your team and evolve toward production.

Instead of spending weeks figuring out the data architecture, context pipeline, agent tools, and integration points, you can start with the business problem.

You bring the use case. DeltaStream builds the agent and the fresh context behind it.

If you are building on GCP and have a use case involving transactions, customers, security events, operations, infrastructure, logistics, payments, or any other continuously changing data, we want to hear from you.

Let us build your first fresh-context agent on GCP.

Contact the DeltaStream team to schedule a demo or start an end-to-end GCP proof of concept.