Context is King!

Agents fail when context is stale.

DeltaStream continuously computes live, time-aware context from streaming data and delivers it directly to AI agents via its built-in MCP server in real time.

/ problem /

Most AI Agents Don't See
What's Happening Now

Even with powerful models, agents fail when they operate
on delayed or incomplete context.

  • Architectures Built for Analysis, Not Action

    Most agent architectures rely on delayed data access and static context, rebuilding state repeatedly instead of maintaining it over time.

    As a result, agents react late, make decisions on outdated information, lose sequence awareness, and require frequent human intervention.

    Result

    Stale Context Breaks Autonomy

  • ORDER MANAGEMENT AGENT

    Stale Context is the Fastest Way to Break Autonomy

    When agents act on delayed or incomplete context, even small timing gaps can lead to incorrect decisions.

    An agent approves an order based on inventory data that was accurate seconds ago, while another order has already consumed the last available stock.

    Result

    Overcommitment and manual rollback

    Not a model failure — a context failure.
    Agents fail because they can’t see the present.

/ AGENT ARCHITECTURE /

The Missing Layer

AI agents don’t fail because models can’t reason. They fail because context is stale or reconstructed repeatedly. Agents need a layer that continuously maintains current state over time, not snapshots.

/ AGENT ARCHITECTURE /

DeltaStream Is That Layer

DeltaStream continuously computes real-time context from live data and delivers it directly to AI agents via its built-in MCP server. Context includes: Current state, Recent history, and Time-aware signals.

The Mental Model

DeltaStream maintains state continuously so agents can act on what’s happening now.

Live Events

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deltastream (context)

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ai agents

/ Under The Hood /

Built on Proven Technology Delivered as Serverless

Powered by

Apache Flink

Clickhouse

Apache Spark

Trusted, battle-tested systems used at global scale.

DeltaStream fully abstracts and operates these technologies in a serverless architecture,
so AI teams get massive scale, millisecond latency, and production-grade reliability without managing clusters, tuning engines, or understanding the underlying complexity.

/ Who It’s For /

Built for Teams
Delivering Real-Time AI

DeltaStream is designed for organizations that are serious about deploying AI agents in production, especially when those agents need to react to live conditions.

AI & Platform Leaders

building autonomous systems

Data & Streaming Teams

supporting AI workloads

Enterprises Moving Agents

from pilot to scale

/ Built For Production /

DeltaStream is not experimental infrastructure. It delivers sub-second end-to-end latency, continuously processes high-volume event streams, and is designed for correctness, resilience, and uptime, the same real-time foundation trusted for mission-critical analytics, now powering AI agents.

/ Who It’s For /

Built for Teams
Delivering Real-Time AI

DeltaStream is designed for organizations that are serious about deploying AI agents in production, especially when those agents need to react to live conditions.

AI & Platform Leaders

building autonomous systems

Data & Streaming Teams

supporting AI workloads

Enterprises Moving Agents

from pilot to scale

Make Real-Time Context
a Strategic Advantage

DeltaStream gives your organization a real-time context layer that enables faster decisions, safer autonomy, and reliable AI systems at scale.

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