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Agent | Data Catalog

Stop Hunting for Data. Start Trusting It.

Your team spends 30% of their week just finding and vetting data assets. The Catalog Agent ends that—discovering, classifying, and governing 1,000+ assets automatically, so engineers build instead of search.

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TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Find it. Know it. Govern it. In hours, not weeks.

Three capabilities that turn a passive metadata store into an active intelligence layer for your entire data estate.

DISCOVER

CLASSIFY

GOVERN

Agent | Data Catalog

AI Does the Heavy Lifting.
You Stay in Control.

Every classification, policy, and certification the agent proposes is yours to review, override, or approve—before it goes live.

Review Asset Classifications Before They Propagate

Confirm domain tags, sensitivity labels, and ownership before the agent rolls them out—catching edge cases a model might miss.

Correct Mismatches and Retrain the Model

Override wrong classifications, merge duplicates, and feed corrections back to the agent—so it gets sharper with every run.

Certify Assets for AI and Analytics Use

Promote assets to verified status in one click—giving downstream teams and AI workflows a clear signal: this data is trusted.

Adjust Governance Rules on the Fly

Apply, pause, or modify policies based on what's happening in production—without submitting a ticket or waiting on IT.

Validate Lineage Before It Becomes Fact

Confirm or correct upstream and downstream connections the agent surfaces—so impact analysis is based on truth, not assumptions.

Set Onboarding Priority by Business Value

Review the agent's recommended onboarding queue and reorder by what matters most to your team—before it starts executing.

Just Ask. The Agent Knows Your Entire Data Estate.

Information Retrieval

"Show me all certified tables in the Finance domain."

Which datasets have the lowest completeness this week?

Investigation

"Which tables feeding the revenue dashboard have no owner?"

When did the quality score start declining for the product catalog?

Action / Governance

"Onboard all customer Snowflake tables and apply GDPR tagging."

Generate a weekly quality report for executive review

Migration doesn't end at cutover.

The hardest part is validating that every row, every pipeline, every layer landed correctly. That's what this agent is built for.

Before

4–5 weeks of manual SQL queries just to onboard a handful of pipelines

Spreadsheets masquerading as a data catalog—always out of date

4,000+ alerts per month with no way to tell which ones matter

After

1,000+ assets discovered, profiled, and prioritized in under a day

AI-inferred semantic classification that updates as your data changes

Alerts ranked by business criticality—so your team acts on what matters

Data Catalog Agent in Action

From first scan to governed catalog—in a single agentic loop.

Powered by the xLake Reasoning Engine, the Catalog Agent runs as part of a multi-agent framework that coordinates discovery, enrichment, and policy deployment in parallel—delivering complex multi-system responses in record time.

Scan Continuously Across All Sources

Crawl warehouses, data lakes, databases, and AI platforms for new, changed, and undiscovered assets—without manual triggers.

Profile, Enrich, and Score Every Asset

Spark execution crash, dataplane outage, policy logic mismatch, empty dataset — the agent classifies it automatically. No more spending 45 minutes ruling out the wrong cause.

Map Lineage, Assign Ownership, and Surface Context

Trace end-to-end dependencies, assign stewards based on access patterns, and pull relevant runbooks, compliance docs, and incident history from the Knowledge Base—so every asset arrives with full business context, not just a schema.

HITL:

Validate Classifications

Deploy Governance Policies—Inside Your Perimeter

Auto-generate and deploy access, retention, and compliance rules across the Acceldata Dataplane, which runs inside your security boundary. Your data never leaves your environment. Policies go live in 4–6 hours, not 4–6 weeks.

Frequently Asked Questions

How is this different from Collibra or Alation?

Traditional catalogs are passive repositories—you populate them, maintain them, and hope teams use them. The Catalog Agent is autonomous: it discovers assets you didn't know existed, infers meaning from usage patterns, and deploys governance policies without human configuration. It's a living system, not a database you fill in.

Can it really onboard thousands of assets without manual work?

Yes—and we have the receipts. What previously took 4–5 weeks per domain now completes in under a day. The agent discovers, profiles, classifies, and queues governance policies for 1,000+ assets in a single run. Human-in-the-loop checkpoints let your team review before anything goes live.

How does it handle PII and sensitive data?

The agent uses pattern recognition and semantic analysis to identify PII, financial, and health-related columns automatically. It then applies sensitivity tags, access controls, and retention rules aligned with GDPR, HIPAA, and SOC 2. Every classification is reviewable by your data stewards before enforcement kicks in.

Does my data ever leave our environment?

No. The Acceldata Dataplane runs inside your security perimeter. Only metadata and contextual information are sent to the configured LLM—never raw data or dataset contents. No customer data is persisted in the LLM. You can also use BYO LLM to point ADM at a model hosted entirely within your own infrastructure. All activity is logged for audit purposes under your existing RBAC and encryption policies.

What does "AI-ready" actually mean for a data asset?

An AI-ready asset has four things verified: documented ownership, end-to-end lineage, active quality monitoring, and appropriate governance policies. The Catalog Agent checks and certifies all four. Teams using ADM go from accessing 30% of their data platform features through a traditional UI to 70%—because conversational access removes the technical barriers that kept non-engineers out of their own data estate.

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