Capability alone is not enough

Compliant Deployment, Trustworthy Agency

Organisational Ontology | Normbase | Trustworthy Agency

Capabilities
Technical Direction

Delivering Ready-to-Use AI Information Fields

LangXAI pre-configures business context, norms, and capabilities for scenarios such as professional assessment, laboratory operations, industrial intelligent control, and emergency management—so AI can take up trusted duties immediately, and form bounded, auditable action with humans in real scenarios.

Information Field Construction

Business context, norms, and capabilities jointly describe the ontology—roles and processes, obligations and boundaries, objects and available operations. AI enters not a scattered business environment, but a queryable, alignable meaning space of the real scenario.

Normative AI Agency

AI Agents and human Agents share one normative context: what they may perceive, what they must fulfill, and which capabilities they may invoke. Agency comes from consensus on the norms, not from improvised prompts.

Norm-Governed Collaboration

In the collaboration entry point, humans and AI advance work in one normative context—compliance before action, coordination during execution, and traceability afterward. Intelligent collaboration gains both speed and boundaries, with an audit trail.

Learn more about LangXAI AIF architecture and the Norm.Xin platform:

Use Cases

A $100B+ compliant enterprise Agent market awaits

What we are doing today

Serving Fortune 500 clients including multinational industrials and State Grid scenarios.

Target industries ahead

Expanding into compliance-intensive sectors: financial services, healthcare, legal.

We are our own customer

Heavy users of organisational Agents — we see the future firsthand.

Lab

NAICE.AI Lab

LangxAI NAICE.AI Lab bridges human strategic intent and autonomous agent execution — hybrid intelligence greater than the sum of its parts.

50 Years of Theoretical Foundation

Since the 1970s, building on original research in organisational semiotics — grounding organisational informatics and systems engineering for AI research.

1970s

Artificial Organisational Intelligence (AOI)

In 2024, introducing AOI — AI that understands norms, roles, and collaboration as governable, trustworthy organisational members.

2024

From Information Field Theory to Practice

In 2025, advancing the Agent Information Field (AIF) stack and Agent R&D to bridge theory and engineering for organisational intelligence.

2025

Open innovation across industries

From 2026, building networks with universities, research institutes, and industry experts to evolve AOI in research and practice.

2026

Explore our research and theoretical foundations:

Knowledge workers thrive when one person's output becomes another's input. We share our knowledge as your trusted open innovation partner.

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