Agentic Data Discovery
Autonomously understand, organize, and democratize your data.
Autonify’s Agentic Data Discovery leverages advanced AI agents to autonomously profile, document, classify, and enrich your data, transforming complex and fragmented enterprise datasets into easily discoverable, trustworthy assets.
See Autonify in Action
Our AI Agents do all the heavy lifting. Connect your data sources and immediately start to gain understanding.
1. Connect Your Data
Easily ingest data across your enterprise, from cloud warehouses to legacy systems.
2. AI Agents Explore
Autonify agents autonomously profile, classify, and enrich datasets.
3. Discover Data
Empower teams with instant access to trusted, well-documented data.
Unlock your data potential
of with Agentic AI
Automated Data Cataloging
AI agents discover, inventory, and document data across silos — continuously updating your data catalog in real-time.
Intelligent Data Profiling
Uncover structures, patterns, relationships, and anomalies at a glance. Understand data quality and readiness instantly.
Semantic Mapping
Reveal meaningful relationships between datasets through autonomous semantic analysis, improving discoverability and context.
Sensitive Data Detection
Automatically classify sensitive data (PII, PHI, financial) to support compliance, reduce risk, and embed trust into workflows.
Conversational Data Discovery
Empower users to query data in natural language — no SQL or dashboards required. Just ask and get insights.
Use cases
Get startedFinancial Services
Detect risk, comply with regulations, and accelerate insights from complex, legacy systems.
Healthcare
Unify patient data, protect PHI, and power AI-driven diagnostics with trusted datasets.
Retail & eCommerce
Integrate inventory, customer, and sales data to optimize everything from supply chain to personalization.
Manufacturing
Monitor, catalog, and analyze machine and IoT data to improve uptime and predictive maintenance.
Testimonials
“Autonify's agentic platform improved our data discovery speed and accuracy across the board — it’s now core to how we operate.”
Frequently asked questions
How is this different from traditional data cataloging tools?
Traditional data catalogs like Collibra and Alation require extensive manual setup, ongoing human maintenance, and quickly become outdated as data changes. Autonify's agentic approach continuously discovers, profiles, and documents your data automatically—without human intervention. While legacy tools create static snapshots that decay over time, Autonify maintains a living, breathing view of your data landscape that evolves with your business in real-time.
How quickly can we see results?
Most customers see initial data insights within 24-48 hours of connecting their first data source. Unlike traditional implementations that take 6-12 months to show value, Autonify's agents immediately begin profiling and documenting your data. You'll have a comprehensive view of previously unknown datasets, quality issues, and compliance risks within the first week—turning months of manual discovery work into days of automated intelligence.
What makes Autonify agentic?
Autonify's AI agents make autonomous decisions about data classification, relationship mapping, and quality assessment without human configuration or rules. They continuously learn from your data patterns, adapt to changes, and proactively identify new insights—like a team of expert data analysts working 24/7. Traditional AI tools follow pre-programmed rules; our agents think, reason, and evolve their understanding of your data independently.
Why choose autonomous agents?
Traditional automation breaks when data changes or new sources are added—requiring constant human fixes and updates. Autonomous agents adapt and learn, handling data evolution without missing a beat. This means your data catalog stays accurate and comprehensive automatically, while rule-based systems become increasingly outdated and require more manual intervention over time. You get intelligence that scales with your business, not overhead that grows with complexity
