Connect enterprise sources
Connect content, data, rules, tools, workflows, and events while preserving provenance and access.
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GEA Architecture
Context System
Turn enterprise knowledge into durable memory agents can understand and use.
Connect enterprise content, data, rules, relationships, and decision trails—and record how they evolve. This is core technology that lets Tezign GEA understand the enterprise, act reliably, and keep learning.
How It Works
Let context grow with every action.
The Context System goes beyond retrieval. It continuously organizes the objects, relationships, permissions, time, and outcomes that define an enterprise.
Build the Context Graph
Organize entities, relationships, state, and time into a computable enterprise semantic network.
Disclose context progressively
Provide only the context required for the current action, based on task, identity, and risk.
Write back action and outcomes
Write decisions, feedback, and outcomes back into enterprise memory so the next action starts stronger.
In Production
Its role inreal enterprise work.
Reduce knowledge preparation before work
Give agents task-relevant context across content, data, and rules, reducing repeated manual search, preparation, and explanation.
Keep agents aligned to the same enterprise facts
Share versioned, permissioned entities and rules across scenarios to reduce isolated knowledge and inconsistent interpretations.
Carry decision experience across tasks
Preserve rationale, feedback, and outcomes beyond final conclusions so future work understands why earlier decisions were made.
Validation & Guardrails
Make every piece of context traceable, governed, and current.
The more consequential the context, the more provenance, permission, and freshness matter. The Context System carries these controls through retrieval, reasoning, action, and write-back.
Provenance, version, and freshness
Track where information came from, when it changed, and where it applies to reduce stale context in action.
Identity and fine-grained access
Inherit enterprise access controls and use progressive disclosure to govern what an agent can see at every step.
Auditability and governed write-back
Record how context shaped decisions and safely write validated outcomes back into enterprise memory.
Connected Technology
Every capability,working as one system.
Models, context, runtime, and enterprise foundations work together to move agents from understanding to reliable action.
01
GEA Architecture
Long-Horizon Agent Runtime
Keep work moving toward long-horizon goals and outcomes.
Learn more02Enterprise Agent Foundation
Security & Governance
Keep every action within identity, access, and accountability boundaries.
Learn more03Enterprise Agent Foundation
Enterprise Integration & Deployment
Bring agents into existing systems—not another isolated stack.
Learn moreTechnical questions
Understand the mechanism, boundaries, and production requirements.
01
How is the Context System different from RAG?
RAG primarily retrieves relevant material before generation. The Context System also organizes entities, relationships, permissions, state, time, and decision outcomes, then writes validated action feedback into enterprise memory—spanning retrieval, action, and continuous evolution.
02
Why does the Context Graph preserve time and state?
The same entity can have different versions, owners, permissions, and effective rules over time. Preserving time and state lets an agent determine what remains valid, what changed, and which conditions shaped an earlier decision.
03
Is the Context System a standalone product?
No. The Context System is core technology within Tezign GEA. It explains how agents understand and remember the enterprise, rather than being sold as a product parallel to GEA.
Ready when you are