Creative Reasoning Model
Explore more than one answer to complex business problems.
Diverge, evaluate, and converge on stronger paths within real business constraints.
Learn moreTechnology
Technology for agentsthat understand, act proactively,and run reliably in production.
For complex business work, Tezign brings models, GEA OS, and production readiness into one technology system—moving agents from reasoning to sustained action and reliable production.
Understand / Models
Understand business. Understand people.
Let open-ended problems diverge while preserving human differences and contradictions.
Creative Reasoning ModelSubjective World Model
Act / GEA OS
Turn understanding into sustained action.
Organize models, enterprise context, and agent runtime mechanisms on one foundation.
Model HubContext SystemAgentic Runtime
Production / Production Readiness
Make action reliable in production.
Make long-running action measurable, governed, and ready for existing enterprise environments.
Agent Reliability & EvaluationSecurity & GovernanceEnterprise Integration & Deployment
Models
Different forms of complexityrequire different models.
The Creative Reasoning Model addresses open-ended business problems. The Subjective World Model represents how people perceive, think, feel, and decide.
Subjective World Model
Model how people perceive, think, feel, and decide.
Make subjective worlds explorable, testable, and continuously calibratable.
Learn moreGEA OS
Turn models, context, and agentsinto one operating system.
Model Hub handles creative reasoning, model selection, and governance. The Context System organizes internal and external data with multimodal content as shared enterprise context for people, applications, and agents. Agentic Runtime orchestrates agents, skills, and tools so action can continue across time.
01
Reasoning & model governance
Model Hub
02
Enterprise context platform
Context System
03
Agent orchestration & long-horizon runtime
Agentic Runtime
01
Model Hub
Give complex problems stronger reasoning paths and model combinations.
Connect Tezign, commercial, open-source, enterprise-owned, and private models; evaluate, route, combine, and switch them by task; and govern quality, cost, and access.
Explore Model Hub02
Context System
Let people, agents, and applications work from the same enterprise context.
Connect and understand multimodal content, business data, system state, and human judgment across the enterprise, organizing them as related, permission-aware, time-sensitive, traceable context that evolves through use.
Explore Context System03Explore long-horizon runtime mechanisms
Agentic Runtime
Enable agents to orchestrate models, context, skills, and tools, and keep work moving across time.
Manage tool use, state, task orchestration, and human intervention. Long-horizon runtime mechanisms preserve goals, plans, and progress when work spans time and systems.
Core runtime
Tool use, state, orchestration, and human intervention
Long-horizon runtime
Signal triggers, durable goals, dynamic plans, and replanning
Production Readiness
Agents that act proactively—and remain reliable and governed.
Three readiness capabilities determine whether work completes reliably, action remains governed, and agents can integrate with existing enterprise environments at scale.
Agent Reliability & Evaluation
Make long-running work observable, measurable, and recoverable.
Evaluate complete tasks rather than isolated answers, recording execution and business outcomes to locate failures and verify improvements.
- Task & execution records
- Task-level evaluation
- Recovery & retry
- Outcome feedback loops
Security & Governance
Keep every action governed, with clear access and accountability.
Carry identity, access, context disclosure, human approval, and audit through every stage of agent action.
- Identity & fine-grained access
- Progressive context disclosure
- Human oversight & approval
- End-to-end auditability
Enterprise Integration & Deployment
Connect existing systems. Deploy on enterprise terms.
Use open interfaces and standard protocols to connect existing enterprise data, models, tools, agents, and business systems, with private, hybrid, or public-cloud deployment aligned to security, compliance, and IT requirements.
- Open interfaces & standards
- Data, model & tool connectivity
- Existing systems & agents
- Private, hybrid & public cloud
- Ongoing maintenance & expansion
Proof & Trust
Built through research.Proven in production.
From proprietary R&D and regulatory filings to security, compliance, and enterprise deployment, technology earns trust through continuous validation.
Proven in real production
As of July 2026, Tezign served 180+ enterprise customers. The Context System supported 10 PB+ of high-context-density enterprise data and 10B+ tokens deployed per month.
Enterprise trust by design
SOC 2 Type I and ISO/IEC 27001 establish a security and compliance foundation for data protection, access control, and enterprise adoption.
Recognized by global research firms
Tezign has been recognized by leading global research firms including Gartner and Forrester.
Technology foundation
180+
AI Patents and Patent Applications
Patents and patent applications
50+
Software Copyrights
Software copyrights
7+
Algorithm and Large-Model Filings
Six algorithm filings plus one large-model filing
Technical questions
How it works—and what production requires.
01
What makes up Tezign's enterprise agent technology system?
The system combines models, GEA OS, and production readiness. Models provide understanding and reasoning. GEA OS comprises Model Hub, the Context System, and Agentic Runtime, organizing model capabilities, enterprise context, agents, skills, and tools into action. Reliability and evaluation, security and governance, and enterprise integration and deployment make agents ready for production.
02
How do GEA OS, Tezign GEA, Model Hub, and the Context System relate?
Tezign GEA is an enterprise agent product, while GEA OS is its shared operating foundation rather than a separate parallel product. Within GEA OS, Model Hub handles creative reasoning, model selection, and governance. The Context System organizes internal and external data with multimodal content as shared enterprise context for people, applications, and agents, while Agentic Runtime orchestrates action. Model Hub and the Context System can also be procured and deployed independently when required.
03
How do Model Hub, the Context System, and Agentic Runtime work together?
Model Hub applies creative reasoning and evaluates, routes, combines, and governs Tezign, commercial, open-source, enterprise-owned, and private models by task. The Context System organizes multimodal content, business data, system state, and human judgment as shared context with provenance, permissions, and time, then writes confirmed judgment, action, and outcomes back under control. Agentic Runtime orchestrates models, context, agents, skills, and tools. For long-running business accountability, its long-horizon mechanisms also preserve goals, plans, and durable state and replan from real outcomes.
04
How is Agentic Runtime different from the Long-Horizon Agent Runtime?
Agentic Runtime provides general mechanisms for agent execution, tool use, state management, orchestration, and human intervention. The Long-Horizon Agent Runtime is the specialized part for enduring business accountability, adding proactive signals, durable goals, dynamic plans, cross-process state, recovery and retry, and outcome-driven replanning.
05
How should an enterprise decide whether an agent is ready for production?
Evaluation should extend beyond model output to task success, execution traces, recovery, identity and access, approvals and audit, system integration, deployment boundaries, and business outcomes. High-risk actions require explicit human accountability and stopping conditions; demo quality alone is not production readiness.