Tezign Technology Selected for 2026 'China AGI Innovation Impact Institutions TOP 30'

Founder Park recently released the list of the 2026 'China AGI Innovation Impact Institutions TOP 30', and Tezign Technology has made the list! This list is selected from four dimensions: business value innovation, interactive experience upgrade, technical capability breakthrough, and scene deep integration, covering tracks such as large models, agents, embodied intelligence, and enterprise services. The selected teams are those that have 'already established a foundation in their respective positions'—not the expected potential, but the results that have already occurred.

The original evaluation of Tezign by Founder Park is as follows:

Tezign Technology is an Agentic AI company aimed at enterprises, one of the earliest companies in China to provide enterprise-level Agentic solutions. This year, it launched its core product GEA 企业级智能体系统, which integrates the company's previous technological accumulation into an enterprise-level Agentic AI platform, driven by its self-developed divergent reasoning model (the first large model registered in China in the field of divergent reasoning), upgrading enterprise AI from point tools to business intelligence agents. GEA has been deployed in over 180 leading global enterprises and represents the deep integration of products into business outcomes in the domestic enterprise-level AI agent track.

Companies in the same list within the enterprise-level Agentic AI track each have their own approach. Tezign GEA addresses a different type of problem: scenarios where business decisions themselves cannot be covered by standardized processes. This distinction lies at the technical level.

The orchestration layer of the vast majority of agents relies on general large models, given tasks, executing steps, and returning results. This is effective for tasks with standard answers—contract review, data extraction, FAQ responses. However, tasks such as brand communication strategies, product naming, and consumer insight analysis essentially do not have a single correct answer; the convergence tendency of general models can actually be a barrier: it may provide you with a 'sufficient' answer but will not reveal the possibilities you have not yet seen.

The orchestration layer of GEA is driven by the self-developed Creative Reasoning Model (CRM), which is the world's first model to complete large model registration in the field of divergent reasoning. The training goal of CRM is not to converge to the correct answer but to first fully diverge, then converge based on evidence—Extract→Diverge→Expand→Converge in four steps, exhausting possibilities before making a choice. Supporting this capability is Tezign's years of enterprise service accumulation of 10,000+ expert-labeled creative trajectory data: not a question-answer pair, but a complete record of the decision-making path—every key fork point, why the expert chose A over B. This data is irreplaceable and cannot be replicated.

In terms of scenarios, GEA enters the core processes of enterprise operation and decision-making, rather than peripheral tool layers. From insight research (continuously scanning market signals, consolidating user cognition) to product innovation (AI-assisted judgment of new product directions), design creation (mass production and quality control of brand content), content growth (differentiated distribution across multiple markets and platforms)—these four directions cover the complete link from 'knowing what users are thinking' to 'delivering products to users.'

The AI industry this year has seen continuous evolution of models, but as Founder Park said, 'the real changes happening in the industry have overflowed beyond the model layer.'

What has overflowed are two things: first, agents have produced quantifiable results in real scenarios; second, a few teams have begun to turn what they have done into reusable capabilities, rather than starting over each time.

What Tezign's enterprise-level intelligent agents are cultivating is precisely the latter.