Context Systems
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Context Systems
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Where AI Fits
About
Contact
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Designing AI for Real Operations

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

Our Mission

 

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.

our Core Values

Agent-Centered

Workflow-Driven

Agent-Centered

 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. 

Tool-Aware

Workflow-Driven

Agent-Centered

 Agents are only useful if they can interact with real tools. We design agents that operate across APIs, databases, and internal systems. 

Workflow-Driven

Workflow-Driven

Human-in-the-Loop

 Agent behavior is shaped by real workflows, not abstract prompts. Systems are designed around how work actually moves through an organization. 

Human-in-the-Loop

End-to-End Systems

Human-in-the-Loop

 Not everything should be automated. We design agent systems that know when to act independently and when to defer to people. 

Production-Ready

End-to-End Systems

End-to-End Systems

 Agent systems must be reliable, observable, and controllable. We focus on behavior that holds up beyond demos. 

End-to-End Systems

End-to-End Systems

End-to-End Systems

 Agents don’t live in isolation. We design full systems. Orchestration, state, memory, and integration; not standalone assistants. 

What we do

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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