Connect internal and external reality
Understand internal text, images, video, and audio; connect enterprise data and systems; and continuously ingest external signals from markets, channels, industries, and public sources.
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GEA OS
Context System
Turn multimodal content, business state, and enterprise judgment into context for continuous agent action.
The Context System can be procured and deployed independently and is also a core part of GEA OS. It understands multimodal content, connects internal and external data, system state, and enterprise judgment, assembles current context for each task, and continuously writes actions and outcomes back.
How It Works
The most valuable context is often not written down yet.
Some enterprise context lives in multimodal content and system state; some still lives in how people handle exceptions, trade-offs, and relationships. The Context System connects both, so agents do more than find information: they understand the present situation and act on it.
Organize relationships and decision effect
Use ontology, the Context Graph, and memory to represent entities, relationships, provenance, time, version, permissions, and decision state.
Activate context for the task at hand
Resolve information that is current, relevant, and usable for the objective, then turn it into action premises, signals, and execution constraints.
Turn action into durable experience
Write judgments, adoption, rejection, feedback, and business outcomes back so later work inherits current state and experience.
Technical Artifact · Actionable Context
Actionable context is more than a collection of retrieved fragments.
Context entering a run includes more than retrieved fragments. It also carries multimodal meaning, provenance, time, relationships, permissions, scope, and decision state so it can support action.
Multimodal meaning
Bring entities, scenes, expression, and business meaning across text, images, video, and audio into one semantic space.
Provenance, time & version
Track where information came from, when it was created, how it changed, and whether it remains valid.
Entities, relationships & state
Represent how enterprise entities relate, their current state, and how those relationships change with the business.
Permissions, effect & write-back
Define what can be used by whom, which judgments have been superseded, and how validated actions and outcomes return to context.
Enterprise Value
Ground every action in the enterprise’s current state.
Understand internal and external information together
Bring multimodal content, enterprise-system data, and external market signals into one context so accumulated assets and a changing world can jointly shape reasoning and action.
Start from the current enterprise state
Agents receive context that is relevant, current, and grounded in provenance, reducing repeated manual search, preparation, and explanation.
Turn change into action and judgment into memory
Adapt work when content, markets, processes, or decisions change, while carrying human trade-offs and real outcomes into what happens next.
Validation & Guardrails
Context must know what is valid—and what is no longer valid.
Context quality depends on provenance, freshness, conflict resolution, scope, and write-back quality—not retrieval accuracy alone. Security and governance enforce identity and access, while the Context System preserves and carries those boundaries.
How We Measure
01
Multimodal semantic coverage
02
Context selection precision
03
Stale-reference rate
04
Validated-outcome write-back coverage
Boundaries & Guardrails
Provenance, version, and freshness
Track where information came from, when it changed, and where it applies to reduce stale context entering action.
Conflict, supersession, and scope
Preserve conflicting evidence while making clear which conclusions were superseded and which rules apply only under specific conditions.
Validated write-back
Separate intermediate generation, human confirmation, and real outcomes so information gains decision effect only after appropriate validation.
Connected Technology
Every capability,working as one system.
01
GEA OS
Long-Horizon Agent Runtime
Keep work moving toward long-horizon goals and outcomes.
Learn more02Production Readiness
Security & Governance
Keep every action within identity, access, and accountability boundaries.
Learn more03Production Readiness
Enterprise Integration & Deployment
Connect existing systems. Deploy on enterprise terms.
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 understands multimodal content across text, images, video, and audio; organizes entities, relationships, permissions, business state, time, and decision effect; and lets context trigger action. Validated judgment, feedback, and outcomes are then written back into enterprise memory.
02
Why is multimodal content an important part of enterprise context?
Enterprise judgment does not live only in structured data and documents. It is also carried by images, video, audio, version changes, review comments, and usage feedback. Understanding these assets and their business relationships gives agents a fuller view of enterprise reality than text alone.
03
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.
04
Can the Context System be procured independently?
Yes. The Context System can be procured and deployed independently to provide context for existing enterprise agents and AI applications. It is also a core part of GEA OS, helping long-horizon agents understand the enterprise and act continuously within Tezign GEA.
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