Q

2.0

Your AI Data Team • Ready to Work

Your AI Data Team.

Working alongside yours.

Six AI agents on a shared semantic layer.

Ask. Analyze. Act.

Plain English in. Reliable execution out โ€” across analytics, pipelines, SQL, governance, and AI. xAQUA sits on your existing data stack and stores nothing.

Plain-English requests, routed to the right AI agent.
๐Ÿถ
Ask Cezu Anything
Your AI Data Concierge • Routes you to the right AI Data Agent
๐Ÿพ
What tables have customer data? Predict customer churn Create a revenue dashboard
Trusted in Production at a Highly Regulated Agency

The AI Data Hub for a
Top-5 American Public Pension Fund Managing $400B+ in Assets.

Private AI, air-gapped VPC. AI Safety & Data Security guaranteed.

One Hub for business and technical users โ€” conversational, in plain English.

Time to Production
3 weeks
First use case live
Realized Return
8ร— ROI
In production today
Semantic Catalog
700+ tables
15,000+ cols ยท 450+ relations ยท auto-discovered
Knowledge Retrieval
Days โ†’ Seconds
Quick access to enterprise tribal knowledge
AI Safety & Data Security
Private LLM
AI Safety Controls ยท NIST ยท OWASP ยท ISO
Data harvesting at scale Enterprise tribal knowledge unlocked Migration testing accelerated Audit-ready data quality Analyst capacity multiplied Plain English in, insight out Reports without IT queues GenBI narratives on demand Days โ†’ Minutes on SOPs & contracts Executive hours reclaimed Live modernization oversight Frankenstack replaced by one Hub
The Problem

Your data stack is powerful.
But it doesn't work as one system.

Modern enterprises run 8โ€“13 disconnected tools โ€” each with its own logic, definitions, and workflows. The result is a Frankenstack.

๐Ÿ”ง
Tool Sprawl

ETL platforms, catalogs, observability tools, BI suites, governance products, ML platforms โ€” separate contracts, separate training, separate support. No shared context between them.

8โ€“13
Average tools per enterprise data stack
๐Ÿ’ธ
Integration Tax

Stitching tools creates hidden costs โ€” integration work, broken pipelines, inconsistent metrics, and governance gaps that compound over time.

40%
Of data budgets lost to integration overhead
โณ
Bottlenecked Velocity

Business users wait days for answers. Data teams spend their best hours on plumbing instead of strategy. AI tools lack business context and produce unreliable answers.

67%
Of decisions delayed by data access friction
You don't have a data system. You have a Frankenstack.
Your AI Data Team

Six Agents. One Mission.

Each agent is a full-powered application covering the entire data lifecycle โ€” not a chatbot.

๐Ÿง 
Online
AI Data Steward
Your personal data expert.
Ask anything. Anytime.
SemantIQ
Explore โ†’
๐Ÿ›ก๏ธ
Online
AI Data Governance
Quality. Privacy. Trust.
Your data guardian โ€” always on.
Qualix ยท SenseMask ยท Entity 360
Explore โ†’
๐Ÿ“Š
Online
AI Data Analyst
Ask. Prepare. Analyze. Act.
Your words. No waiting.
ConverseDataIQ ยท RAGConvo ยท DataLens ยท Athyna ยท ConverseSQL ยท Reeve
Explore โ†’
โš™๏ธ
Online
AI Data Engineer
Build. Automate. Run.
No code. No 2am alerts.
Composer
Explore โ†’
๐Ÿ”ฎ
Online
AI Data Scientist
Predict. Model. Deploy.
Point. Click. Predict.
ClickML
Explore โ†’
๐Ÿ“ˆ
Online
AI BI Specialist
Reports that tell stories.
Insight. Narrative. Action.
Narratix
Explore โ†’
Your Data Journey

From Source to Insight โ€”
Every Step Covered.

The full data lifecycle. End to end. Each stage owned by the right agent.

๐Ÿ”Œ
1
Bring Data
AI Data Engineer
Composer
๐Ÿ”
2
Discover Data
AI Data Steward
SemantIQ
๐Ÿงช
3
Prepare Data
AI Data Analyst
Athyna
๐Ÿ“Š
4
Analyze Data
AI Data Analyst
ConverseDataIQ ยท DataLens ยท ConverseSQL
๐Ÿ›ก๏ธ
5
Share & Govern
AI Governance
Qualix ยท SenseMask
๐Ÿง  Powered by the Shared Semantic Layer โ€” every stage speaks the same business language.
See It Work

Three Roles. Three Questions.
One AI Data Team.

Same platform. Different questions. Instant answers. Ask. Analyze. Act.

๐Ÿ’ผ Data Leaders
๐Ÿ“Š Business Users
โš™๏ธ Data Teams
xAQUA 2.0 โ€” Ask. Analyze. Act.
๐Ÿ’ผ
Sarah Chen
Chief Data Officer
๐Ÿ’ผ
Ask
"What's our enterprise data quality score this quarter?"
๐Ÿ›ก๏ธ
Analyze
Quality score is 94.2%, up from 91.8%. Customer domain leads at 97.1%. Finance dropped to 86.3% โ€” null values in the new AP integration flagged.
๐Ÿ“Š
Act
Finance issues routed to the data team. Your executive summary with trends and remediation recommendations is ready.
โœ“ Report ready • Team notified
๐Ÿ“Š
Marcus Rodriguez
VP Marketing
๐Ÿ“Š
Ask
"Show me customer churn by region โ€” what's driving APAC?"
๐Ÿ“ˆ
Analyze
Q4 churn: NA 3.2%, EMEA 4.1%, APAC 7.8% (up 2.1%). APAC driven by support response delays (+340%) and enterprise pricing concerns.
๐Ÿ“ˆ
Act
Created a live dashboard with regional drill-down and a data story explaining APAC trends. Want weekly alerts?
โœ“ Dashboard live • Story ready
โš™๏ธ
Priya Sharma
Senior Data Engineer
โš™๏ธ
Ask
"Build a pipeline: Salesforce to Snowflake, hourly, with PII masking"
โš™๏ธ
Analyze
Detected 4 PII columns: email, phone, address, SSN. Recommending SHA-256 for email, format-preserving encryption for phone, redaction for SSN.
๐Ÿ›ก๏ธ
Act
Pipeline deployed with hourly schedule, PII masking active, and 6 quality rules. First run: 98.7% quality.
โœ“ Pipeline live • PII masked • Monitoring on
What You Can Do

Every Data Capability โ€”
Unified in One System.

One platform. Every workflow. Ask Cezu or click to start. No fragmentation.

๐Ÿ”—
Connect Source
Add any data source
AI Data Engineer โ†’ Composer
๐Ÿ”
Find Data
Search the catalog
AI Data Steward โ†’ SemantIQ
๐Ÿ”ง
Build Pipeline
Create ETL workflow
AI Data Engineer โ†’ Composer
๐Ÿ“Š
Create Dashboard
Visualize your data
AI BI Specialist โ†’ Narratix
๐Ÿ”ฎ
Build Model
Train ML predictions
AI Data Scientist โ†’ ClickML
โœ…
Check Quality
Run data quality scan
AI Governance โ†’ Qualix
What Makes xAQUA Different

Most platforms connect tools.
xAQUA connects meaning.

This is why xAQUA doesn't just answer questions โ€” it executes reliably. Every time.

๐Ÿงฌ
Semantic-First Foundation
Every capability operates on a shared business language. No conflicting definitions. No inconsistent metrics across agents.
๐Ÿ’ฌ
Conversational Execution Layer
Users ask in plain English. Cezu understands intent, resolves context, and executes โ€” analytics, SQL, pipelines, reports, automatically.
๐Ÿ—๏ธ
Compound Platform Architecture
A unified data platform with a portfolio of vertical products on top. Same engine. Different cockpits. Built once, configured everywhere.
xAQUA Platform Layers
๐Ÿ—ฃ๏ธ Conversational Layer
Cezu intent routing โ†’ 23-route classification engine
๐Ÿง  Shared Semantic Layer
Unified business definitions across all 6 agents
โšก AI Execution Engine
GPT-OSS ยท text-embedding-3-small ยท HNSW indexing
๐Ÿ”’ Governance & Security
Tenant isolation ยท PII masking ยท Audit trail ยท RBAC
The Compound Platform

One Unified Data Platform.
A Portfolio of Products.

xAQUA is a compound platform. The Unified Data Platform โ€” Cezu, six AI agents, and a shared semantic layer โ€” is the horizontal foundation. A growing portfolio of Platform Capabilities and Vertical Products builds on top.

โ€” Vertical Products โ€”
Available Now
๐Ÿ›ก๏ธ
xAQUA Aegis
Cybersecurity posture, predictive GRC intelligence, AI governance, and compliance automation.
Shipping today. Built for regulated enterprise and government workloads.
On Roadmap
๐Ÿ›๏ธ
xAQUA for Public Pensions
Member services, actuarial analytics, benefits administration, governance.
UDP deployed at a $300B+ pension fund โ€” 8ร— ROI in three weeks. Packaging underway.
On Roadmap
๐Ÿฆ
xAQUA for Financial Services
Risk analytics, compliance reporting, customer 360, regulatory operations.
On the xAQUA roadmap.
On Roadmap
๐Ÿ›๏ธ
xAQUA for State & Local Government
Program operations, citizen services, benefits administration, oversight reporting.
On the xAQUA roadmap.
All built on the UDP, using
โ€” Platform Capabilities โ€”
๐Ÿงฉ
Platform Capabilities
Horizontal products, each licensable independently. Bundle into Editions or buy ร  la carte. Buy only what you need.
All running on
โ€” xAQUA Unified Data Platform (UDP) โ€”
๐ŸถCezu Concierge — always included
๐Ÿค–Six AI Data Agents
๐Ÿง Shared Semantic Layer
๐Ÿ”ŒConnections
๐ŸŒŠAnalytics Lakes
๐Ÿ”’Governance & Security
The platform foundation โ€” included in every deployment. Not separately licensed.
Sits on your existing data stack:
Snowflake Databricks MotherDuck DuckDB PostgreSQL + more
No data movement. No data storage. xAQUA reads where your data lives.
Three Editions
Three ways to deploy. One platform.
Same UDP. Same vertical products. Different cockpits for different buyers.
SMB & Mid-Market
xAQUA Essentials
Self-service. Multi-tenant.
Sign up, connect your data, ask your first question in minutes. The full xAQUA platform โ€” built for businesses that want to move fast on their own.
Enterprise
xAQUA Enterprise
Private VPC. Full customization.
Deploy privately into AWS, Azure, or GCP. Run xAQUA across multiple business units with full security, customization, and integration into your existing stack.
Public Sector
xAQUA for Government
GovCloud-class. Air-gapped options.
Full compliance posture for federal, state, and local agencies. NIST CSF 2.0, NIST AI RMF, FedRAMP-ready. Built for regulated, mission-critical workloads.
โšก
Need faster rollout? Our delivery team helps enterprises work through their use case backlog in parallel โ€” compressing months of internal adoption into weeks. Platform first. Services second. Outcomes throughout.
Why Unified Wins

Stop Stitching.
Start Shipping.

Before the smartphone, you carried a camera, a GPS, a music player, and a phone. The same shift is happening in data.

Before
๐Ÿ“Š BI Tool
๐Ÿ”„ ETL Tool
๐Ÿ“š Catalog
โš™๏ธ Transform
โœ… Quality
๐Ÿ›ก๏ธ Governance
8โ€“13 disconnected tools
โ€บ
The shift
After
xAQUA
๐Ÿ“š
๐Ÿ›ก๏ธ
โš™๏ธ
๐Ÿ“Š
โœ…
๐Ÿ”—
One semantic OS

Just as the smartphone replaced 8 devices with one OS, xAQUA replaces your Frankenstack โ€” one semantic layer, every data workflow.

๐Ÿง 
Shared Semantic Layer
๐Ÿ“š
Catalog
๐Ÿ›ก๏ธ
Governance
๐Ÿ”—
Lineage
โœ…
Quality
๐Ÿ”’
Privacy
๐Ÿ“Š
Analytics
Enterprise Trust

AI You Can Trust in Production.

xAQUA combines semantic understanding with enterprise-grade architecture. Reliable AI starts with consistent context.

๐ŸŽฏ
Deterministic AI Routing
Cezu's 23-route classification engine routes every intent to the correct agent and module with precision. No hallucinated workflows. No wrong answers.
๐Ÿ”’
No Raw Data Exposure
AI operates on metadata, semantic context, and resolved references โ€” never on raw customer data. Full tenant isolation. LLM Gateway enforced on every call.
๐Ÿ“‹
Full Audit Trail
Every AI action, every data access, every workflow execution is logged. SOC 2 Type II aligned. Built for regulated industries โ€” government, finance, healthcare.
๐Ÿงฌ
Semantic Consistency
Shared semantic layer ensures every agent produces consistent metrics. No conflicting definitions between the BI report and the ML model.
๐Ÿข
Knowledge Continuity
When experts leave, the institutional knowledge stays โ€” captured in the platform, accessible to your whole team. Your team gets stronger, not more dependent.
โšก
Compliance by Design
HIPAA, CCPA, FedRAMP, NIST CSF 2.0, and NIST AI RMF alignment built into the platform โ€” not bolted on. Governance is architecture, not a feature.
Use Cases

Built for Real-World Data Challenges.

From data migration to AI governance โ€” xAQUA handles it without stitching tools together.

๐Ÿ“ฆ Data Migration & Modernization
๐Ÿ›ก๏ธ Data Governance & Quality
๐Ÿ’ฌ Conversational Analytics
โš™๏ธ Pipeline Automation
๐Ÿ“š AI Data Catalog & Discovery
๐Ÿ”’ Privacy & PII Management
๐Ÿ”ฎ Predictive Analytics & ML
๐Ÿ“Š BI & Data Storytelling
8ร—
Use-Case Velocity
$300B pension fund โ€” three weeks to first ROI
Days → Seconds
Faster Information Retrieval
Across 30,000+ pages and 700+ tables โ€” in production
40โ€“60%
Stack Consolidation
One platform replaces 8โ€“13 fragmented tools
100%
Built-In Governance
Compliance by design, not bolt-on
Ready to start?

Stop navigating data.
Start asking.

Experience how xAQUA turns your questions into reliable execution โ€” instantly, across your entire data stack.