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Overview

IntelliCatalog redefines how organizations interact with their data. It replaces slow, manual, and error-prone cataloging with AI-powered semantic intelligence that delivers instant understanding, built-in governance, and self-service discovery.

Business and data teams gain clarity on structure, meaning, quality, and risk in minutes instead of hours or days, accelerating analytics, governance, and decision-making.

Challenges

Modern enterprises struggle with growing volumes of undocumented and poorly understood data.

  • Teams spend hours deciphering unfamiliar datasets
  • Data quality and privacy risks surface late, increasing rework
  • Inconsistent terminology creates confusion across teams
  • Manual cataloging is slow, expensive, and difficult to maintain

These issues delay insights, reduce trust, and increase compliance risk.

Key capabilities

  • Instant analysis: Upload any dataset and receive AI-generated insights in seconds. Automated structure detection, domain inference, and intelligent summaries provide immediate context.
  • Privacy guardian: Automated PII detection with risk scoring, data quality profiling, anomaly detection, and compliance-ready reporting for enterprise governance.
  • Natural language intelligence: Ask questions in plain English and receive conversational, context-aware answers about datasets, relationships, and business meaning.
  • Knowledge graph: Editable semantic knowledge graph with intuitive actions. Add nodes, connect entities, modify relationships, and auto-save changes for continuous learning.
  • Semantic search: PostgreSQL and pgvector-powered semantic search across datasets, columns, and glossary terms to surface relevant data instantly.
  • Smart reports: One-click generation of HTML and PDF reports with insights, visualizations, and actionable recommendations.

How it works

IntelliCatalog applies AI-powered semantic intelligence across the data lifecycle to deliver instant clarity and control.

  • Automated semantic analysis for immediate dataset understanding
  • Natural language queries across datasets, columns, and business terms
  • Built-in PII detection, quality profiling, and compliance reporting
  • Intelligent knowledge graphs that continuously learn and adapt

Technology and architecture

  • Performance by design: Parallel processing, dynamic timeouts, and idempotent analysis ensure fast and reliable execution.
  • Editable intelligence: Right-click graph editing, glossary learning, and auto-save capabilities enable continuous improvement.
  • Enterprise-grade search: Native PostgreSQL with pgvector for durable, scalable semantic similarity search.
  • Backend stack: FastAPI, PostgreSQL, pgvector, LangChain with Ollama by default and optional cloud LLM integration.
  • Frontend stack: React with TypeScript and MUI, using React Flow for interactive knowledge graph visualization.
  • Security first: Built-in PII risk scoring, on-premise friendly deployment, controlled access, and data residency options.

Use cases

  • Dataset onboarding and documentation in minutes
  • Data governance with PII inventory and quality signals
  • Self-service analytics with clear context and shared glossary
  • Semantic data discovery using similarity search
  • Compliance reporting and audit preparation

Business impact

  • 90% faster data analysis and onboarding
  • 75% reduction in data discovery time
  • 95% accuracy in automated compliance detection
  • Instant insights that enable faster, more confident decisions

Product experience highlights

  • AI-powered landing dashboard with dataset insights and actions
  • Central dataset library for browsing and managing assets
  • Drag-and-drop upload with real-time analysis progress
  • AI-generated summaries with structure and domain context
  • Automated identification of identifiers, measures, dimensions, and timestamps
  • Comprehensive data quality scoring with recommendations

ROI highlights

  • Over 90% reduction in documentation effort
  • Earlier detection of data quality and privacy issues
  • Faster adoption through clear, shared data understanding

Packaging options

  • Starter: Single workspace with local Ollama support
  • Team: Role-based access, enhanced DQ and PII, exports
  • Enterprise: SSO, audit capabilities, lineage integration hooks

Who benefits

Data analysts and BI teams

  • Reduce dataset understanding time by 70–80%
  • Cut analysis cycles from hours to minutes
  • Improve reporting accuracy by up to 40%

Data governance and compliance teams

  • Achieve 95%+ accuracy in automated PII and risk detection
  • Reduce compliance documentation effort by 60–75%
  • Shorten audit preparation time from weeks to days

Data engineering and cataloging teams

  • Reduce manual cataloging effort by over 90%
  • Accelerate dataset onboarding by 5–10×
  • Lower metadata maintenance overhead by 50%

Business users requiring self-service analytics

  • Access trusted datasets 2× faster
  • Reduce IT dependency by 40–60%
  • Increase analytics adoption by 30–50%-service analytics

Organizations scaling data operations from startup to enterprise

  • Scale governance with 70% lower operational effort
  • Improve cross team data consistency by 30–45%
  • Reduce onboarding time for new teams from months to weeks-team data consistency by

Sales enquiry

Write to us: partnerupdates@sonata-software.com

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