MirrorData统一数据底座
让实时分析、开放湖仓与混合检索，在一个整体的底座中协同。
MIP · THE FAST, UNIFIED ENTERPRISE AI DATA PLATFORM
One engine. One semantic layer. Every agent.
MIP connects real-time data, enterprise semantics, and business context so every agent understands the business through the same data and definitions—and works within governed boundaries.
极速统一，让数据走向理解。
INPUTNatural language
MirrorPilot可信分析编排
01Ask02Understand03Retrieve04Generate05Validate06Answer
OUTPUTTrusted result
PRODUCT DEMO · LIVE
Request the full demo How a trusted conclusion is generated on enterprise data
Starting from a business question, MIP identifies intent, reads enterprise semantics, applies governed definitions, runs and validates the query, then returns a result with evidence. The demo loops automatically; select any step to jump ahead.
你好，我是销售与毛利分析 Agent
用业务语言直接提问，答案将附带口径说明与完整依据
＋ 创建ⓘ 能答什么DeepSeek V4
Illustrative product interface and sample data · Auto-looping; hover to pause; select a step to jump
MirrorDataMIP’s architectural foundation
Built on StarRocks, evolving for enterprise AI
Starting from proven real-time analytics, MirrorData has evolved into a unified data foundation for AI and agents.
StarRocks→
MirrorShip→MirrorBaseMirrorBase is MirrorShip’s enterprise offering built on open-source StarRocks. It can run as part of MirrorData or be purchased and deployed independently to fit existing enterprise architectures.
咨询产品Manage structured and multimodal source data together, connect compute environments through open table formats, and use existing enterprise data assets in place.
MirrorMindMIP’s context layer
Make metrics, rules, and knowledge readable as enterprise context
MirrorMind organizes metric definitions, business rules, knowledge, memory, and experience into enterprise context that agents can read and verify.
数据告诉 AI「发生了什么」；语义与上下文帮助 AI 理解「这意味着什么」。
- 01Business questionWhy did sales change?
- 02Metric definitionHow is net sales defined?
- 03Business rulesHow are returns and discounts handled?
- 04Knowledge and experienceWhich sources can be used as evidence?
- 05Verifiable understandingAnswer with shared semantics
MirrorPilotMIP’s intelligent workspace
Let agents understand, query, and analyze in shared context
MirrorPilot serves business users and enterprise-built agents, combining data and context within identity, access, cost, approval, and audit controls to produce verifiable analysis.
MirrorControlMIP’s control plane
Governance is part of the understanding path—not an add-on
From the data an agent can access and the business definitions it uses to the way it forms a conclusion, MirrorControl carries permissions, process, cost, evaluation, and feedback through the entire task.
Traceable
Data sources, business definitions, and evidence remain connected and visible.
Bounded
Identity, permissions, policies, and approvals are built into usage.
Recorded
Traces, evaluations, cost, and feedback support continuous quality management.
START WITH A REAL QUESTION
Which question should AI understand first?
Start with a concrete question and see whether the agent reads the right data, understands governed definitions, and returns a verifiable result.
经营问数
What were Q3 net sales in East China?
经营分析
Why did GMV change this month?
运营排查
What caused this operational metric anomaly?
START WITH A REAL BUSINESS QUESTION
Start with a real business question and prove MIP’s value
Bring a metric, process, or data challenge. We’ll validate the full path from data access and enterprise understanding to a trusted conclusion.