MIP — THE REAL-TIME UNIFIED AI DATA PLATFORM

The Fastest Path from Data to Understanding.

MIP unifies enterprise data, business semantics, and context so every AI agent works from the same accurate, consistent view of your business.

Book a Demo See How It Works

Business questionAsk in natural language

MirrorPilotExecute

MirrorMindUnderstand

MirrorDataConnect

Trusted resultVerify

Business actionMove work forward

MirrorControlGovern every interaction across the path

Supporting Data-Driven Enterprises on Their AI Journey

BEYOND DATA ACCESS

Data access does not equal business understanding

Models do not inherently know where your data lives, how metrics are defined, how systems relate, or which rules govern a decision.

Fragmented data

Enterprise data is spread across systems, formats, and time horizons.

Teams still wait for data, and AI-driven decisions fall behind as the business changes.

Inconsistent meaning

Metrics, business objects, and rules vary across teams and tools.

Teams spend more time verifying AI output before they can use it.

Disconnected agents

Each agent needs its own connections to the same data, knowledge, and context.

AI projects remain in pilots and struggle to enter core business processes.

Enterprises need infrastructure that connects data, business context, intelligent execution, and governance within a single operating framework.

ONE ENGINE. UNIFIED SEMANTICS. EVERY AGENT.

One foundation for enterprise AI to understand your business

MIP connects enterprise data and business semantics to every agent through one real-time, governed platform.

One real-time, governed foundation connects enterprise data and business meaning to every agent.

Business question

Trusted result

MIP PLATFORM

Every interaction sharpens the platform's understanding.

Data, context, and agents run on one platform. Feedback continually improves business understanding.

AGENTMirrorPilotAgent operating plane

CONTEXTMirrorMindEnterprise context hub

DATAMirrorDataUnified data foundation

Hover any layer or sub-layer to explore its role

AGENT

MirrorPilot

Bring consistent understanding to every agent

Give agents a shared foundation for querying, analyzing, deciding, and acting.

Agent API & MCPInherited permissionsTraceEvaluationFeedback loopHuman review

Agents move into real workflows

CONTEXT

MirrorMind

Give enterprise data shared business meaning

Encode metrics, business objects, rules, and knowledge as shared semantics and context every AI agent can understand.

KnowledgeMemorySkillSemantic modelingHybrid retrievalEvidenceContext API

Decisions start from shared facts

DATA

MirrorData

Unify enterprise data in one engine

Connect real-time, historical, structured, and multimodal data across the enterprise.

MirrorBase · MirrorLake — hover a sub-layer for details

Real-time queriesQuery in placeHybrid searchAI FunctionsSemantic ViewAgent workload management

Decisions keep pace with change

REAL-TIME ENGINE

MirrorBase

Real-time analytics engine for agents

Unify real-time analytics, query-in-place, and hybrid search with workload isolation and cost guardrails.

Real-time queriesQuery in placeHybrid searchAI FunctionsWorkload isolationCost guardrails

Complete, current data whenever agents need it

Supports → MirrorMind · MirrorPilot

OPEN LAKEHOUSE

MirrorLake

Open lakehouse storage layer

Manage structured and raw multimodal data together through open table formats across compute environments.

Open table formatsMultimodal storageIn-place accessUnified metadataMultiple compute engines

Use existing data assets without migration

Supports → MirrorMind · MirrorPilot

Business question

MirrorPilotAGENT

AGENT · Intelligent execution

Give agents a shared foundation for querying, analyzing, deciding, and acting.
Agent API & MCP · Inherited permissions · Trace · Evaluation · Feedback · Human review

Agents move into real workflows

Call ↓↑ Return

MirrorMindCONTEXT

CONTEXT · Enterprise context hub

Encode metrics, business objects, rules, and knowledge as shared semantics and context every AI agent can understand.
Knowledge · Memory · Skill · Semantic modeling · Hybrid retrieval · Evidence · Context API

Decisions start from shared facts

Call ↓↑ Return

MirrorDataDATA

DATA · Real-time multimodal foundation

Connect real-time, historical, structured, and multimodal data across the enterprise.
Real-time queries · Query in place · Hybrid search · AI Functions · Semantic View

MirrorBase

REAL-TIME ENGINE

Real-time analytics engine for agents

Unify real-time analytics, query-in-place, and hybrid search with workload isolation and cost guardrails.

Real-time queriesQuery in placeHybrid searchAI FunctionsWorkload isolationCost guardrails

Complete, current data when agents need it

Supports → MirrorMind · MirrorPilot

MirrorLake

OPEN LAKEHOUSE

Open lakehouse storage layer

Manage structured and raw multimodal data together through open table formats.

Open table formatsMultimodal storageIn-place accessUnified metadata

Use existing assets without migration

Supports → MirrorMind · MirrorPilot

Decisions keep pace with change

Trusted result

MirrorData provides trusted data. MirrorMind builds business understanding. MirrorPilot moves tasks forward. MirrorControl keeps every step visible and under control.

BRING MIP INTO YOUR BUSINESS

Put your data on the fastest path to understanding

Bring one business question. See how MIP unifies the data, semantics, and context every agent needs.

30 minutes. A tailored MIP walkthrough.

Business performanceCustomer intelligenceData operationsGoverned enterprise agents

Turn enterprise data into a reusable business capability that AI can use continuously.

In your session, you can explore:

Connect MIP to your existing data and knowledge assets
See how agents apply your enterprise metrics and business rules
Review how MirrorControl manages quality, cost, policy, and risk
Identify one practical use case to start with

Book a Demo See How It Works

Bring one business question. See how MIP turns it into a trusted, governed outcome.