Q

2.0

🧠 AI Data Steward Module · SemantIQ Meet Zyra

Your data, understood. Your catalog, alive.

SemantIQ connects all your data sources, builds enriched catalogs automatically, monitors quality continuously — and answers any question through Zyra, your AI Data Steward.

No manual curation. No stale documentation. No "ask Dave, he knows this stuff." Every table, column, definition, and lineage — auto-discovered, auto-enriched, and queryable in plain English.

Works alongside your data stewards — scaling their work, capturing institutional knowledge, and turning domain expertise into a queryable asset that outlasts any individual.

Ask Zyra
Catalog AI Assistant · Powered by SemantIQ
Online
👤
How do I find account receivable items with creation reason "Application Change"?
Look in SGT_ACCOUNT_RECEIVABLE_ITEMcertified. Filter where AR_CREATION_REASON_VALUE = 'APCG'.

Owner: Finance · Lineage: 3 sources → staging → martContains PII
🔍
Proven at enterprise and government scale
30,000+
Pages Indexed
700+
Tables Catalogued
4.2K
Assets Auto-Enriched
Days → Seconds
Information Retrieval
ROI in 3 Weeks
The xAQUA Philosophy

Everything starts
with meaning.

xAQUA is a semantic-first platform. Before we profile a single row, before we draw a single lineage arrow, we understand what your data means. That shared understanding — the semantic layer — is what every xAQUA agent operates on. It's the common language between your data, your questions, and your answers.

Traditional Catalogs
Connect data.
  • Ingest metadata. Present it as lists.
  • Humans manually write descriptions, glossaries, tags.
  • Documentation stales within weeks.
  • No shared semantic context between catalog, BI, and ML.
  • Users still need to know which table, which join, which definition.
xAQUA Semantic-First
Connect meaning.
  • AI builds the semantic layer automatically from your data.
  • Business terms, domains, PII, relationships — inferred and enriched.
  • Continuously monitored. Never goes stale.
  • Same semantic layer powers all six xAQUA agents.
  • Users ask in plain English. The platform handles the rest.
The Stewardship Reality

Every enterprise has a data graveyard.

Thousands of tables. Hundreds of reports. Conflicting definitions. Nobody's sure which version is right — or who to ask.

📉
Stale Catalogs

Traditional catalogs need heavy human curation. Documentation stales the moment it's written. Half the entries describe tables that no longer exist — the other half describe tables that aren't there yet.

"We've had three catalog initiatives in five years. None of them stuck."
🧑‍💼
Tribal Knowledge

The people who know what the data means are a handful of long-tenured analysts and engineers. When they leave, their knowledge walks out with them. Onboarding takes months.

"If Priya quits, we're in serious trouble."
🔀
Definition Drift

Finance says revenue is one thing. Sales says another. The BI team has a third definition in the dashboard. Every quarter ends in a reconciliation scramble over numbers that should just match.

"We spend more time arguing about the data than acting on it."
How SemantIQ Works

Fully automated. Continuously current.

Four steps. Zero manual curation. Your catalog maintains itself.

🔌
1
Bind
Zero movement
Connect data sources. Snowflake, Databricks, Postgres, Oracle, files — any source, read in place. Your data never moves.
🔍
2
Auto-Build
Zero manual work
SemantIQ profiles every dataset, infers types, detects PII, maps relationships, assigns owners — fully automatic.
3
Enrich
AI-generated
AI writes descriptions, links to business terms, classifies data sensitivity, maintains the glossary — continuously.
💬
4
Answer
Ask Zyra
Anyone asks in plain English. Zyra returns a trusted answer with lineage, ownership, and source in seconds.
⚛️ Most platforms connect data. xAQUA connects meaning.
⚛️ SemantIQ · One Module. Eight Capabilities.

Everything a modern data
steward needs — unified.

All eight capabilities operate on the same semantic layer. Shared across all six xAQUA agents.

🔗
Bound Data Sources

Connect any source — database, file, or cloud storage — and bind it to a catalog. No data movement. No replication.

● live
Enrichment Studio

AI-powered metadata enrichment — descriptions, PII classification, business context, glossary links. All automatic.

ai-generated
📊
Quality & Metrics

7-dimension quality scoring, trend snapshots, threshold alerts, continuous profiling across all sources.

continuous
💡
AI Insights

Auto-generated quality summaries, root-cause analyses, trend forecasts, and governance recommendations.

ai-generated
📖
Business Glossary

Living glossary of business terms linked to physical columns. Cross-catalog semantic vocabulary, AI-drafted, human-approved.

● living
🛡️
Governance & Change

Change request workflows, version control, data certification, stewardship tasks, compliance reporting.

versioned
🧬
Data Lineage

Visual end-to-end lineage from raw source to analytics. Interactive graph. Column-level granularity. Impact analysis for schema changes.

interactive
🚀
Migration Studio

Catalog-driven migration. Source analysis, target model design, semantic mapping, test generation, SQL scripts.

ai-assisted
Quality You Can Measure
Seven dimensions. One health score.

Every dataset is continuously scored across seven quality dimensions. Trends tracked. Thresholds enforced. Alerts on drift — before it hits your dashboard.

94
Completeness
▲ +1
97
Uniqueness
— stable
92
Validity
▲ +2
78
Consistency
▼ -4
89
Accuracy
▲ +1
95
Timeliness
— stable
88
Governance
▲ +3
Ask Zyra

Same Zyra. Every role.

From day-three new hires to the CDO — everyone asks in plain English. Everyone gets an answer with context.

🆕 New Hire
📊 Analyst
💼 CDO
Ask Zyra · AI Data Steward · Powered by SemantIQ
🆕
Amit Patel
Data Analyst · Day 3
👤
Amit asks
I need to build a report on Q4 revenue. Where do I even start?
Zyra answers
Welcome, Amit. For Q4 revenue start with fact_revenue_daily — the canonical revenue table, owned by Finance.

Definition: "Revenue" = recognized revenue per Finance glossary (GAAP-compliant, excludes deferred and returns).

Freshness: Updated hourly · Owner: Sarah Chen (Finance) · Used in: 23 reports ✓ Found in 1.8s · certified definition
📊
Priya Sharma
Senior Data Analyst
👤
Priya asks
Show me lineage for customer_ltv in the exec dashboard.
Zyra answers
customer_ltv traces through 4 transformations across 3 sources:

Source: salesforce.opportunities + stripe.subscriptions + support.tickets
Staging: stg_customer_activity (Composer pipeline, hourly)
Core: mart_customer_ltv (enriched with churn model from ClickML)
Dashboard: Exec · Customer Health

Calculation method from finance_glossary.ltv_v2 · reviewed Oct 2025 by Marcus Rodriguez. ✓ Column-level lineage · covers AI operations
💼
Sarah Chen
Chief Data Officer
👤
Sarah asks
Give me catalog health across all business domains.
Zyra answers
Overall health: 87/100 across 10 active catalogs · 4,218 assets enriched (94% coverage).

Healthy: Customer · Finance · Marketing
Flagged: Investment Portfolio (Consistency 78, trending down) · 2 critical quality alerts · 2 breaking schema changes
Pending review: 12 glossary terms · 7 governance requests · 9 stewardship tasks ✓ Board report ready · send to leadership?

Different question. Different role. Same Zyra.

Meet Zyra

The approachable face of your semantic layer.

Zyra is the conversational interface to SemantIQ. Every question your team asks about data — where it lives, what it means, who owns it, how it's changed — goes through Zyra.

She doesn't just look things up. She understands intent, applies your org's definitions, respects your access rules, and returns a complete answer with lineage and source attribution.

🧠 Semantic-aware 🔒 Respects governance 📋 Cites sources ⚡ Sub-second answers
Why It's Different

Not a standalone catalog.
The brain of your AI Data Team.

Standalone data catalogs are islands. SemantIQ is the shared semantic layer — the same definitions, lineage, and context powering every xAQUA agent.

🧬
One Definition. Everywhere.
The glossary term Zyra curates in SemantIQ is the same one your BI Specialist uses in reports, your Analyst uses in queries, and your Scientist uses to train models. No drift. No reconciliation.
⛓️
Lineage That Covers AI.
When your AI Engineer builds a pipeline or your AI Scientist trains a model, that operation lands in lineage automatically. Full traceability, including agent actions.
🔒
Governance Is the Foundation.
The semantic layer is the governance layer. PII classification, access rules, and audit context are inherited by every downstream agent — automatically.
⚛️
SemantIQ
Shared Semantic Layer
🧠Steward · Zyra
🛡️Governance
📊Analyst
⚙️Engineer
🔮Scientist
📈BI
Built for Stewards — Not Instead of Them

Your data stewards finally get
the tool they deserve.

Zyra scales your existing stewardship program — capturing institutional knowledge, automating the grunt work, and letting your experts do what only they can do.

"The beginning of next-generation data analytics with a human–AI workforce."

$300B Public Pension Administration · xAQUA customer
Scales Your Experts
Senior stewards focus on policy, definitions, and domain boundaries. SemantIQ handles the discovery, profiling, and documentation at machine scale.
Captures Knowledge
Every definition, every ownership decision, every lineage trace — encoded in the platform. When experts leave, the knowledge stays.
Makes Stewardship Self-Service
Business users answer their own data questions through Zyra — without tapping your team for every lookup. Your stewards stop being a bottleneck.
Built For

Every role that needs to trust the data.

🆕
New Hires
Where do I even start looking for customer data?
Onboarding from months to days. Zyra walks new analysts through the schema instead of waiting for a teammate to explain it.
📊
Analysts
Is this the right table — and can I trust this number?
Lineage and definitions surface automatically. No more shadow analyses based on the wrong table.
🛡️
Compliance
Where is all our PII — and who has access to it?
Auto-classification plus full audit trails. Audit-ready by design — not bolted on after a finding.
⚙️
Data Engineers
What breaks if I change this column?
Impact analysis before every change. Fewer 2 AM alerts and fewer "who broke the dashboard" post-mortems.
💼
CDOs
What's our data maturity across domains?
At-a-glance catalog health, 7-dimension quality, certification status. Governance you can report on.
🏛️
Public Sector
Where is citizen data — and is it properly classified?
FedRAMP-aligned private deployment. Full sovereignty, air-gap ready, audit trails baked in.
— Works With Your Stack —
Sits on your existing data platform.
SemantIQ reads metadata and semantic context where your data already lives. No movement. No storage. Your data stays in your environment — xAQUA adds the intelligence layer on top.
Snowflake Databricks MotherDuck DuckDB PostgreSQL BigQuery Redshift Oracle + more
Part of a Bigger Team

Zyra is one of six agents.

All operating on the same semantic layer. All part of your AI Data Team.

🛡️
AI Governance
Quality · Privacy · Trust
Qualix · SenseMask · Entity 360
📊
AI Analyst
Ask. Prepare. Analyze. Act.
Athyna · Reeve · ConverseDataIQ
⚙️
AI Engineer
Build. Automate. Run.
Composer
🔮
AI Scientist
Point. Click. Predict.
ClickML
📈
AI BI Specialist
Reports that tell stories.
Narratix
Ready to start?

Meet your new data steward.

See how Zyra turns your data estate into something you can actually talk to. Live in three weeks. Private by default. Built on a semantic layer that scales with you.