Context Systems designs and builds applied AI systems grounded in real workflows, real data, and real operational constraints.

Our mission is to help organizations move beyond static AI tools toward agent-based systems that can reason, make decisions, and take action across real workflows.
This means building AI that participates in work, rather than sitting on the sidelines.
We build AI systems composed of agents that can reason, plan, and take action. Each agent is designed around a clear role within a larger system.
Agents are only useful if they can interact with real tools. We design agents that operate across APIs, databases, and internal systems.
Agent behavior is shaped by real workflows, not abstract prompts. Systems are designed around how work actually moves through an organization.
Not everything should be automated. We design agent systems that know when to act independently and when to defer to people.
Agent systems must be reliable, observable, and controllable. We focus on behavior that holds up beyond demos.
Agents don’t live in isolation. We design full systems. Orchestration, state, memory, and integration; not standalone assistants.

Context Systems works with teams to design, prototype, and deploy agent-based AI systems that operate across real workflows, tools, and data.
This often begins with identifying where agents can provide leverage, and where simpler approaches are better.
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