Sense signals and events
Observe business state and external change, initiating or adapting work when relevant conditions emerge.
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GEA Architecture
Long-Horizon Agent Runtime
Keep work moving toward long-horizon goals and outcomes.
Continuously sense enterprise and external signals, manage goals, plans, and durable state, and adapt the next action to intermediate results. Work can span multiple interactions and workflows, pause, resume, and retry—while remaining under human oversight and enterprise guardrails.
How It Works
Keep goals continuous across interactions and systems.
The runtime extends a conversation into long-running execution: sensing change, initiating action, maintaining state, using tools, and bringing people in when judgment is needed.
Manage goals and durable state
Preserve goals, plans, dependencies, and execution state across interactions so work can pause and resume.
Use skills and enterprise tools
Connect existing systems through Agent Skills, APIs, MCP, and events to take real business action.
Evaluate, recover, and escalate
Adapt to intermediate results, retry or recover from failure, and escalate high-risk moments for human judgment.
Core Capabilities
How it works—and why it matters.
Signals and events
Continuously monitor business change and trigger work when relevant conditions emerge.
Goals, plans, and durable state
Maintain goal continuity across interactions and workflows, with pause, resume, retry, and dynamic replanning.
Enterprise action and human oversight
Connect tools and systems through Agent Skills, APIs, and MCP, while escalating high-stakes moments for human judgment.
Validation & Guardrails
Proactive does not mean uncontrolled.
Long-running work must remain observable, recoverable, and bounded by identity, permission, and human accountability. Proactivity depends on reliable engineering.
End-to-end execution traces
Capture plans, tool calls, state transitions, and outcomes for task-level evaluation and review.
Recovery and retry
Recover safely from system variance and partial failure instead of restarting or stopping silently.
Human oversight and action boundaries
Apply approval, permission, and stopping conditions to consequential actions so people retain accountability.
Tezign technology foundation
180+AI Patents and Patent Applications
50+Software Copyrights
7+Algorithm and Large-Model Filings
Connected Technology
Every capability,working as one system.
Models, context, and runtime work together to move agents from understanding to reliable action.
01
GEA Architecture
Context System
Turn enterprise knowledge into durable memory agents can understand and use.
Learn more02Core Model
Creative Reasoning Model
Explore more than one answer to complex business problems.
Learn more03Core Model
Subjective World Model
Model how people perceive, think, feel, and decide.
Learn moreTechnical questions
Understand the mechanism, boundaries, and production requirements.
01
Does the Long-Horizon Agent Runtime include proactive agent capabilities?
Yes. The runtime can continuously sense business events and external signals, initiate or adapt authorized work when conditions are met, and proactively bring people in for judgment, authorization, or information.
02
How does it keep work running over long periods?
The runtime preserves goals, plans, dependencies, and execution state so work can pause, resume, retry, and adapt its next action to intermediate outcomes across interactions and systems.
03
How is proactive operation kept under control?
Consequential actions require explicit identity, permission, approval, and stopping conditions. Execution remains observable, auditable, and recoverable, escalating to people when confidence is low or judgment is required.
Ready when you are