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RhinoLink Tech

About Us

RhinoLink Tech is an AI product company focused on data semantics governance, knowledge networks, and intelligent execution. We connect fragmented enterprise data, business semantics, rules, knowledge assets, and workflows so AI can understand business context, organize knowledge, and move work forward.

Our platform brings together an AI Workbench as the unified entry point, a governance Task Engine as the execution hub, and a Domain Knowledge Network as the structure for organizing domain knowledge. It connects data discovery, analytics, governance, and execution in a workflow that can be tracked, delivered, and reviewed.

Brand

Our product brand is Semovix | 赛慕维.

Semovix is a Data Semantics Governance and Intelligent Workbench. Its broader positioning is an organizational platform for data semantics governance, knowledge networks, and task execution.

From Semantics to Action
让语义走向行动

Semovix is the primary brand for the platform. It brings semantic understanding, knowledge networks, task orchestration, and execution into one system that can evolve over time. It helps enterprises organize the business meaning behind their data and turn it into action.

AI Assistant and IP

Our official AI assistant and character is Xino | 犀诺.

  • Semovix | 赛慕维 is the platform brand.
  • Xino | 犀诺 is the AI assistant and character brand.

Xino is the human-facing entry point to the platform, appearing in the Workbench, chat, onboarding, and other product and communications experiences. Xino represents an intelligent work partner that understands business context, works across teams, and helps move tasks forward.

Product Value

Bring consistent meaning to enterprise data

Enterprises often have many tables, fields, metrics, rules, and systems, but lack a shared business vocabulary. This leads to conflicting metric definitions, unclear boundaries, and data that is difficult to interpret.

Our explainable semantic understanding engine uses evidence, confidence levels, and human review to identify meaning and mappings. It makes uncertainty explicit, including UNKNOWN and IGNORE cases, to reduce incorrect mappings and downstream data quality issues.

Turn knowledge into operational scenarios

Organizations have accumulated knowledge, rules, and experience, but often lack a reusable way to organize them into working scenarios.

The Domain Knowledge Network (DKN) connects business objects, metrics, definitions, rules, intents, service entry points, and workflows. It supports data discovery, analytics, governance, decision-making, and execution as connected parts of a scenario.

Help users resolve the issues systems find

Many platforms can detect issues but leave users to navigate alerts, rules, and separate pages to resolve them.

The Task Engine turns governance findings into tasks that users can understand, act on, and track. It supports a workflow from issue discovery and recommended actions through resolution.

Move from answers to verified outcomes

Enterprises need assistants that can keep work moving, verify results, and support review and replay.

The AI Workbench combines task intake, execution controls, and result tracking. Its architecture separates model-driven understanding from the execution runtime, supporting task orchestration, verification, and recovery across a workflow.

Core Capabilities

  • AI Workbench: A unified task entry point for governance, analytics, and development workflows.
  • Explainable semantic governance: Evidence-based semantic identification, mapping repair, object governance, and release review.
  • Domain Knowledge Network: An operational network for business objects, metrics, definitions, rules, intents, and services.
  • Governance Task Engine: Converts distributed findings into trackable tasks and supports their resolution.
  • Digital employees and assistants: Makes complex capabilities accessible through assistants such as Xino.
  • Permissions, audit, and runtime explanations: Controls access, scope, actions, and auditability during execution.

Short Introduction

RhinoLink Tech is building an AI-native semantic governance platform for organization-wide workflows. Through Semovix | 赛慕维, we connect semantic understanding, knowledge networks, governance tasks, and intelligent execution. Through Xino | 犀诺, our AI assistant and official character, we make these capabilities easier to access in everyday enterprise work.

Our goal is to organize fragmented data, rules, knowledge, and workflows so AI can understand business context, advance tasks, and deliver verifiable outcomes—from semantics to action.

简体中文

一、公司介绍

连犀智语 是一家聚焦 数据语义治理、知识网络与智能执行 的 AI 产品公司。 我们致力于把企业内部分散的数据、业务语义、规则口径、知识资产与执行流程真正连接起来,让 AI 不只“会回答”,更能 理解业务、组织知识、推动任务落地。

连犀智语所打造的,不是一个普通的 AI 问答工具,而是一套 AI 原生语义治理平台: 它以 AI 工作台为统一入口,以任务化治理引擎为推进中枢,以领域知识网络为组织骨架,帮助企业把找数、问数、分析、治理与执行连接成一个 可运行、可追踪、可交付、可回放 的闭环系统。


二、品牌介绍

连犀智语当前的产品品牌可统一表达为:

Semovix|赛慕维

Semovix 的正式定位是 “数据语义治理与智能工作台”,进一步的完整表达是: 组织级数据语义治理、知识网络与任务执行平台。 它的品牌主张是:

From Semantics to Action

让语义走向行动

Semovix 不是单点工具名,而是承载整个平台能力的主品牌。它强调的核心,不只是“连接数据”,而是把 语义理解、知识网络、任务引擎与执行闭环 组织成一个真正可长期演进的系统型平台。

Semovix,让企业把数据背后的业务语言真正组织起来,并转化为可以执行的行动。


三、IP 人物介绍

连犀智语的官方 AI 助手 / IP 人物,统一使用:

Xino|犀诺

其中:

  • Semovix|赛慕维 是主品牌
  • Xino|犀诺 是 AI 助手品牌与官方 IP 形象

Xino 不替代主品牌,而是作为品牌的人格化表达,主要用于 工作台、聊天入口、欢迎页、引导页、官网展示与品牌传播场景。

Xino 所代表的,不是传统机器人形象,而是一个 懂业务、懂语义、会协同、能推进任务落地的智能工作伙伴。 它的角色定位更接近:

  • 企业用户进入 AI 工作台后的第一助手
  • 语义治理与知识网络能力的交互入口
  • 品牌体系中的智能伙伴形象
  • 连接“理解”与“执行”的数字化代表

Xino|犀诺,是连犀智语旗下的智能助手与官方 IP,代表一种更懂业务、更能执行的企业级 AI 工作伙伴。


四、我们的产品价值是什么

连犀智语产品真正要解决的问题,不是“再做一个聊天框”,而是解决企业在 AI 落地中最核心的 4 类断层:

1. 数据很多,但业务语义不统一

企业内部往往有大量表、字段、指标、规则与系统,但这些内容缺少统一的业务语义解释,导致:

  • 同名不同义
  • 同义不同名
  • 指标口径冲突
  • 对象边界不清
  • 数据能存,业务难懂

连犀智语通过 可解释语义理解引擎,不是黑盒猜测字段,而是基于证据链、置信度和人工确认协同来识别语义,并显式处理 UNKNOWN / IGNORE 等不确定与噪声情况,从而降低治理误判和后续污染。

2. 知识有沉淀,但难以形成可运行场景

很多企业并不缺知识、规则和经验,真正缺的是: 如何把这些内容组织成一个可复用、可交付、可执行的场景网络。

连犀智语通过 领域知识网络(DKN),把对象、口径、规则、意图、服务入口与工作流组织到一个面向具体场景的可运行网络中。 这意味着我们不是只“把知识连起来”,而是让知识真正支撑:

  • 找数
  • 问数
  • 分析
  • 治理
  • 决策
  • 执行

形成从资产治理走向场景闭环的能力。

3. 系统会发现问题,但用户难以推进处理

很多平台能发现问题,却不能推动问题解决。 问题散落在各类告警、提示、规则和页面里,用户需要不断切换、理解和确认,治理效率很低。

连犀智语通过 Task Engine(治理任务引擎),把系统发现的治理问题统一转成 用户可理解、可执行、可追踪 的任务,让语义治理从“规则系统”升级为“执行系统”。 这意味着从发现问题,到推荐动作,到处理闭环,都会以任务为主真相来推进。

4. 大模型会回答,但不一定能真正做事

企业真正需要的,不是一个只会生成回答的助手,而是一个 能围绕任务持续推进、验证结果、支持回放与审计 的执行体系。

连犀智语的 AI 工作台不是普通聊天框,而是 任务入口 + 执行控制 + 结果闭环 的系统; 它强调从提出目标,到系统理解,到任务推进,到结果交付,全程可追踪、可解释、可继续。

同时,在底层架构上,我们强调 主控层与运行时解耦:模型负责理解,执行内核负责把任务做完,从而支持任务级编排、验证与恢复,而不是一次性生成一个答案就结束。


五、我们的核心能力可以概括为

连犀智语围绕企业智能化落地,构建了以下核心能力:

  • AI 工作台:统一任务入口,让用户从自然语言目标直接发起治理、分析与构建任务。
  • 可解释语义治理:通过证据链驱动语义识别、映射修复、对象治理与发布审核。
  • 领域知识网络:把对象、指标、口径、规则、意图和服务组织成可运行场景。
  • 治理任务引擎:把分散问题转成统一任务,持续推进治理闭环。
  • 数字员工与智能助手:通过 Xino 等助手角色,把复杂能力变成用户可理解的交互入口。
  • 权限、审计与运行解释:不仅控制可见性,更控制真实运行中的入口、范围、动作与审计闭环。

六、一段适合官网/宣传册的标准介绍

连犀智语 致力于打造面向组织级场景的 AI 原生语义治理平台。 我们通过 Semovix|赛慕维 品牌,构建从语义理解、知识网络、治理任务到智能执行的完整产品体系;通过 Xino|犀诺 这一智能助手与官方 IP,让复杂的治理与执行能力以更自然、更友好的方式进入企业工作流。 我们的目标,是帮助企业把分散的数据、规则、知识和流程真正组织起来,让 AI 不只会回答问题,更能理解业务、推进任务、形成结果,把“语义”真正变成“行动”。

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