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Semantic Intelligence Layer

Semantic Intelligence, decoded.

Make your AI analytics smarter, faster, and more reliable. MetaMiner unlocks the business logic hand-crafted over 15 years in your BI estate, bridging the gap to trustworthy AI.

// Extracting SAP BusinessObjects Metadata...
{
"object": "Adjusted Revenue",
"logic": "SUM(NetSales) - @Select(Returns)",
"definitions": ["excludes internal FX", "accrued net"],
"status": "AI_CONTEXT_READY"
}

Trusted by the world’s most analytical institutions

APPLE CASE STUDY
CATERPILLAR CASE STUDY
ELI LILLY CASE STUDY
MEDTRONIC CASE STUDY
WELLS FARGO
MONEYGRAM CASE STUDY
SOFI
CLARA
DAVE
NUVEI
Proven Impact

Semantic intelligence, at the scale of modern enterprise.

From Fortune 100 banks to the fastest-growing modern analytics teams, MetaMiner delivers measurable semantic ROI for organizations that refuse to leave their institutional knowledge behind.

90%

Reduced Documentation Overhead

Flexcar eliminated the need for manual universe documentation, reducing secondary mapping costs by 90% in the first quarter of adoption. MetaMiner's automated parser successfully decoded 4,000+ unx/unv artifacts into a unified glossary.

View Case Study ->
70%

Faster AI Delivery Timelines

CashCo accelerated their transition from legacy SAP to a modern dbt and Snowflake environment, cutting their AI deployment schedule by 70%. By bridging legacy logic directly to AI context, they avoided 1,200+ hours of manual formula transcription.

View Success Story ->
30%+

Increase in Answer Accuracy

SoFi achieved a 30%++ improvement in the accuracy of their conversational AI pilots by feeding MetaMiner's deep semantic context into their RAG pipelines. The AI models stopped hallucinating business logic once the formal definitions were supplied.

Read Analysis ->
$2.4M

Total Cost of Ownership Savings

Caterpillar identified $2.4M in savings by automating the impact analysis of proposed BI migrations. MetaMiner’s extraction of 20 years of "effective rights" security prevented costly compliance breaches during their cloud transformation.

Data Report ->
The Playbook

End-to-end semantic readiness.

01. Universe Extraction
02. Lineage & Impact
03. Effective Rights
04. Metadata Sync

Deep metadata parsing for SAP BOBJ.

Unlock 15 years of institutional knowledge trapped in legacy universes. MetaMiner identifies the business definitions for metrics like Revenue, Margin, and EBITDA buried in .unx and .unv artifacts.

  • Instant inventory of 24+ SAP BusinessObjects object types.
  • Deep impact analysis to identify certified vs. experimental logic.
  • Seamless transition of "tribal knowledge" into AI context.
Explore Universe Metadata
SAP

End-to-end lineage & impact analysis.

Eliminate manual reverse-engineering. MetaMiner captures the flow of logic from the source ERP/CRM tables through intermediate transformations into the final dashboard visual.

  • Automatic extraction of DAX and Tableau LOD expressions.
  • End-to-end lineage tracking from ERP to report output.
  • Analyze impact of schema changes on downstream AI systems.
Trace Your Lineage
LINEAGE

Governed AI with Effective Rights.

AI systems must respect the same access controls as your enterprise reports. MetaMiner extracts the exhaustive security model—including "effective rights" and folder-level inheritance.

  • Preserve millions in existing security configuration.
  • Audit trails for every definition shaping an AI answer.
  • Ensure AI agents respect role-based access controls.
Secure Your AI
🔒

Bridging BI logic to the modern stack.

Don't rebuild—synchronize. MetaMiner outputs calculation logic in YAML, JSON, and Markdown, enabling automated deployment of your trusted semantic definitions into dbt and Snowflake.

  • Full data derivation history for every AI token.
  • Synchronize logic between legacy BI and modern Data Agents.
  • Governance ledger for cross-platform model auditing.
View Sync Hub
Extraction Agents

Powerful Agentic Semantic AI

MetaMiner deploys specialized extraction agents that work quietly behind the scenes to unify your risk data and refine your business definitions in real-time.

See All Agents

BO Universe Parsing Agent

+

Captures the business definitions, classes, objects, joins, and contexts hand-crafted over decades in .unx and .unv artifacts.

Tableau Calc Interpreter Agent

+

Decodes every calculated field, LOD expression, and parameter to capture the "tribal knowledge" locked in Tableau workbooks.

Power BI DAX Mapping Agent

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Translates DAX measures and semantic models into high-fidelity structured metadata for LLM instruction ingestion.

Lineage Mapping Agent

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Builds the critical bridge between legacy source tables (ERP/CRM) and the AI retrieval systems retrieving that data.

Security Rights Extractor Agent

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Calculates "effective rights" across BOBJ folders, universes, and reports to ensure AI respects role-based access controls.

Usage Intelligence Agent

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Analyzes activity logs to identify certified, trusted assets vs. experimental or redundant dashboards.

Formula Reconstruction Agent

+

Reconstructs complex formula hierarchies into explainable business definitions that non-technical AI agents can understand.

Hierarchy Discovery Agent

+

Identifies drill-paths and parent-child relationships to give AI agents the "navigational context" for recursive analysis.

Metadata Sync Agent

+

Continuously monitors BI servers for changes, ensuring your AI's semantic context is always synchronized with the source of truth.

Audit & Lineage Agent

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Maintains a ledger of every metadata point requested by an LLM, ensuring complete transparency and explainability for every answer.

AI AGENTS LAYER
METAMINER SEMANTIC ENGINE
ENTERPRISE BI SOURCES

Semantic Intelligence, unified.

Monitor the entire customer journey in one place—from login to payments to compliance, and everything in between. MetaMiner is the glue that connects legacy BI to the agentic future.

Explore the Platform
30B+
Monthly Logic Signals
#1
Rated Semantic Platform
<100ms
AI Retrieval Latency
24+
Native BI Connectors
Cognitive Intelligence

Protect your AI from "Metadata Poverty"

Standard AI lacks the tribal knowledge required to reason accurately over enterprise data. MetaMiner bridges the gap, providing a real-time semantic HUD that turns raw schema into certified business meaning.

Naked Schema Reasoning_v1.0 HALUCINATION_RISK
INACCURATE: $4.2M
MARGIN_OF_ERROR: 32%
[CMD] "Calculate Adjusted EBITDA for NE region"
ERR_MISSING_SEMANTICS: AI assumes simple SUM(Rev) - SUM(Exp) from schema.
ERR_UNMAPPED_OBJECTS: 15 years of BOBJ Universe exclusions logic is invisible to LLM.
Context-Injected Reasoning_v2.4 SOURCE_OF_TRUTH_SYNC
CERTIFIED: $3.8M
FIDELITY_SCORE: 100%
[INJECT] Retrieving .unx object 'Adjusted EBITDA'...
Formula: NetSales - @Select(COGS) // Applying SAP.EXCL_FLAG = 'N'
SYS_RIGHT_VERIFIED: Logic trace matches board-reported source of truth.
Truly AI-Native

Smarter context for better decisions.

Build your agentic workflows on a foundation of trusted metadata. MetaMiner ensures your AI respects your history while enabling your future.

🤖

Agentic Semantic Extraction

Our agents work quietly behind the scenes, continuously harvest BI logic, refining assessments and providing actionable insights under human-guided governance to ensure fair, compliant decisions.

  • [✓] Comprehensive Analytics
  • [✓] Proactive Detection Capabilities
  • [✓] Explainable Decisions & Full Auditability
🧠

Smarter AI Context Models

Refine your AI initiatives with deep BI definitions. Use your enterprise's 15 years of hand-crafted logic to pre-train language models on how your organization actually calculates revenue, margin, and EBITDA.

  • [✓] No More Metadata Poverty
  • [✓] Certified Logic Enforcement
  • [✓] ROI Acceleration for Copilots
🛰️

The Semantic AI Co-pilot

An intuitive layer that describes your data as it answers. Every insight is traceable back to its trusted owner, calculation logic, and source system, reducing compliance risk by design.

  • [✓] Explainable Natural Language
  • [✓] Context-Aware RAG Pipelines
  • [✓] Governance-First Intelligence
Industries

One platform, any application.

From clinical data validation to global supply chain mapping, MetaMiner provides the precision semantic layer required for mission-critical enterprise AI.

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Financial Services
The Challenge

Institutions struggle with fragmented "effective rights" across legacy reports, making AML auditing manual and slow. MetaMiner preserves 20 years of role-based definitions for compliant agentic flows.

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Manufacturing
The Challenge

Supply chains rely on logic buried in ERP systems and local SAP workbooks. We capture end-to-end lineage to maintain absolute visibility across global inventory and margin logic.

PHRM_GxP_VAL
Pharma & Life Sciences
The Challenge

Clinical data requires 100% validated logic. MetaMiner ensures AI answers follow strict GxP requirements and certified clinical formulas with a full audit history for every definition.

RETL_C360_SYNC
Retail & Consumer
The Challenge

Bridge legacy POS reporting definitions directly into modern dbt models. Build usage-driven customer 360 semantic layers to accelerate transitions to real-time attribution.

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Digital Assets & Fintech
The Challenge

High-velocity data monitoring for FinTech risk frameworks. Unify fragmented digital ledger definitions into a single, trusted semantic source that maintains context as asset classes evolve.

Risk teams love MetaMiner.

"MetaMiner paid for itself in the first month by eliminating manual universe documentation. It's our semantic source of truth for all downstream AI retrieval systems, ensuring we never miss a definition."

"I hate dealing with old SAP systems, but MetaMiner makes it easy to move that logic to our Snowflake stack seamlessly. We saved 1,200+ developer hours in the first migration wave alone."

"Security was our #1 blocker for AI. MetaMiner synced our BI permissions and effective rights to our agents in weeks, not months. We can now audit every single AI answer back to its trusted source."

"Finally, an AI that doesn't guess what 'gross margin' means. It just looks it up in MetaMiner's repository. This has drastically reduced our reliance on manual business glossaries."

"The lineage extraction saved us 1,000+ hours during our annual audit cycle. It's a game changer for compliance teams who need to prove where every metric originated from."

"It sits between our BI servers and our AI stack and just keeps everything synchronized. Critical infrastructure for us as we transition to an agent-first analytics model."

Featured Insights

Why Your Data Catalog is Metadata Poor for AI

Migrating Business Logic from BOBJ to dbt: A Practical Guide

Preparing Your BI Metadata for the AI Transformation

Don't rebuild.
Extract it.

Get Started with MetaMiner Today