01 / Aggregate
Unify fragmented enterprise signals into a continuous context layer.
Built for agents
Systemiq turns fragmented enterprise signals into an operational understanding of your business so agents can execute instead of rebuilding context.
Systemiq does the hidden context work agents should not have to do. Enterprise systems were built for dashboards. Agent systems need machine-consumable context.
Problem
Dashboards, business tools, and reports help humans understand the business. People can pull together fragmented information and decide what matters across systems.
If each agent has to pull data, interpret events, infer relationships, and decide what matters, the result is slow, repetitive, and brittle.
Every agent ends up rebuilding the business from scratch.
What it does
It aggregates signals, interprets system behavior, maintains structured operational memory, and exposes context through MCP.
01 / Aggregate
Unify fragmented enterprise signals into a continuous context layer.
02 / Interpret
Understand how systems relate and how changes propagate across the business.
03 / Narrow
Reduce system complexity into actionable context for agents.
04 / Expose
Serve stateful context through MCP.
Operational effect
Agents work from one operating model instead of reconstructing the business independently.
Agents stay on task
Execution stays with the agent. Context formation stays upstream.
Model once
Operational context is formed centrally instead of being rebuilt by every downstream agent.
Cross-system view
Different agents work from the same modeled view of systems, dependencies, and impacts.
Less noise
Raw signals become scoped operational context an agent can use immediately.
Adoption
Some teams need a context layer inside existing products and systems. Others need a foundation for new agent systems. In both cases, Systemiq gives agents and systems a single source of context.
Integrated
Embed Systemiq in current products, systems, and agent initiatives as a source of enterprise context.
New systems
Deploy Systemiq as the context layer behind new agent-enabled products and systems.
Need the technical model? The platform app covers architecture, stack model, MCP, integration, and query surfaces in more detail.
Open platform documentationContext graph
Raw signals
Signals enter from across the enterprise stack as separate operational inputs.
Context graph
Structured model. Queryable context.
Agent access
Ops, support, and planning agents query the model directly instead of rebuilding business state on their own.
What Systemiq creates
Systemiq turns fragmented enterprise signals into a context graph.
It models systems, tools, elements, relationships, and impacts in a form agents can query over time.
Read more about the context graphExample
On-time delivery drops. Expedites increase. Warehouse errors rise. Customer complaints grow. These appear as separate issues across systems.
Raw signals
On-time delivery falls from 96% to 89%. Expedite shipments increase by 35%. Warehouse pick errors increase. Customer complaints rise.
Systemiq
Interprets them as one loop: delivery delays trigger expedites, expedites disrupt warehouse flow, disruption increases errors, and errors create further delays.
Agent context
Systemiq gives the agent the situation, the root cause, the bottleneck, and the next action.
What agents actually get
Not raw data. Not disconnected events. A clear view of the system and what to do next.
Agents receive the situation, the root cause, the bottleneck, and the next action.
What is happening
Service reliability is degrading.
Why it is happening
Expedites are destabilizing warehouse operations.
Where the bottleneck is
Order prioritization and warehouse scheduling.
What to do next
Cap expedites to critical orders and introduce fixed picking windows.
Systemiq
Systemiq gives your agent stack a continuously updated understanding of your business that agents can act on.