Your AI can access your data. It doesn't understand your business. Without business context — workflow, metadata, meaning, governance, lineage — AI solutions stall, outputs can't be trusted, and scale is impossible.
of enterprises launching Agentic AI pilots by 2027
of GenAI pilots fail to move beyond proof of concept
Why Most AI Initiatives Stall
Intelligence Layer
Models · Agents · Copilots · Automations
Business Context Layer — The Missing Foundation
Models · Enrichment · Meaning · Governance · Trust
Macula Blaze creates the business context layer that turns enterprise data into trusted, AI-ready intelligence.
Microsoft Purview
Data & AI Governance
AI Agents
Microsoft Fabric
Modern Data Platform
Unified data models across all enterprise data sources
Business meaning, metadata, and context built into every asset
Lineage, ownership, classification, and compliance from day one
Trusted context layer purpose-built for Agentic AI
One semantic foundation across all enterprise data sources. Blaze helps organizations build and manage enterprise data models that create a consistent vocabulary across domains, systems, and AI applications.
Cross-Domain Alignment
Map and reconcile data models, schemas, and taxonomies across business domains into a single enterprise vocabulary.
Industry Data Models
Start from proven frameworks including Microsoft Industry Models, IEC CIM, HL7 FHIR, and ACORD — then extend to fit your business.
Consistent Vocabulary
Ensure every system, analytics platform, and AI agent interprets data the same way with a shared semantic foundation.
Platform-Neutral Design
Generate production-ready code for Fabric, Databricks, SQL Server, and more — keeping models portable across your stack.
Business meaning, metadata, and context built into every data asset. Blaze automatically enriches your data with the semantic context that AI systems need to produce reliable, explainable outcomes.
Business Glossary & Definitions
Attach business definitions, domain context, and ownership to every data element so meaning is never lost in translation.
Automated Metadata Enrichment
AI-assisted tagging of business rules, sensitivity labels, and semantic descriptions across your entire data estate.
Contextual Lineage
Trace how business meaning flows through transformations — not just technical lineage, but semantic lineage that AI agents can reason over.
Domain-Aware Profiling
Profile data quality against business rules and domain expectations, surfacing gaps before they reach downstream consumers or AI workloads.
Lineage, ownership, classification, and compliance from day one. Blaze embeds governance metadata directly into data models as they are built — ensuring data is accountable, auditable, and trusted from the start.
Built-In Lineage Tracking
Track data flow from source to consumption with full audit trails, impact analysis, and dependency mapping embedded from the start.
Ownership & Stewardship
Assign and enforce data ownership at the model level. Every entity, attribute, and relationship has a clear accountable owner.
Classification & Sensitivity
Automatically classify data elements for regulatory compliance, sensitivity labeling, and access control — aligned to your governance policies.
Purview & Catalog Integration
Sync governance metadata directly to Microsoft Purview and data catalogs, ensuring your governance layer stays current as models evolve.
A trusted context layer purpose-built for Agentic AI. Blaze creates the semantic foundation that AI agents need to reason about your business, make reliable decisions, and operate at enterprise scale.
Semantic Context for Agents
Provide AI agents with structured business knowledge — definitions, rules, relationships — so they reason accurately about your business domain.
Trusted Decision Framework
Ensure AI outputs are explainable and auditable. Governed context means every AI decision can be traced back to authoritative business definitions.
Enterprise Knowledge Graph
Connect entities, relationships, and business rules into a machine-readable foundation that AI systems consume natively.
Scale-Ready Architecture
Purpose-built for production Agentic AI workloads at enterprise scale. Blaze context layers grow with your AI maturity — from copilots to fully autonomous agents.
