Q

2.0

🤝 For Data Engineers · Analysts · Scientists

Less glue work. More of the work you love.

xAQUA isn't here to replace you. It's here to take the migrations that drag on for 18 months, the ad-hoc tickets that pile up 340 deep, and the schema-mapping toil that nobody got into data engineering to do. The judgment, the modeling, the architecture — that stays yours.

🤝 Built to augment your data team, not replace it.
Use Case · 03
🤝
Where Your Time Actually Goes

You signed up for the modeling. You inherited the toil.

Be honest with yourself: how much of last week did you spend on work that actually used your judgment?

📋
The ticket queue
340+ open requests. Most are variations of questions someone already answered. You're a help desk, not a data team.
340+
open ad-hoc analytics tickets, typical
🔧
Schema archaeology
Reverse-engineering undocumented source systems. Mapping COBOL copybooks. Re-deriving lineage from production. Months of work that nobody celebrates.
60%
of source schemas — undocumented
💀
The 18-month migration
Plan was 18 months. Reality is 36. The cutover slips for the third quarter in a row. The CTO stops believing your dates.
average migration timeline overrun
How xAQUA Has Your Back

It does the toil. You keep the judgment.

xAQUA's six AI agents handle the repetitive, low-judgment work — so you spend your time on architecture, modeling, and the calls that actually need a human in the loop.

01

Self-service kills the ticket queue

Cezu lets business users ask their own questions in plain English. The 340-ticket backlog doesn't go to you anymore — it gets answered, governed, with lineage, automatically. You stop being a help desk.

CezuConverseDataIQ
02

AI maps the schemas you'd hate to map

Composer suggests transformations between source and target. SemantIQ infers undocumented joins. You review, approve, modify. You don't reverse-engineer from scratch.

ComposerSemantIQ
03

Pipelines you don't have to babysit

Quality checks run continuously. Drift gets flagged. Failed runs surface root causes, not stack traces. You stop being on-call for plumbing.

QualixAthyna
04

ML on the same stack you already know

ClickML runs on the governed semantic layer. No separate feature store to maintain. No notebook-to-production death march. Your model uses the same definitions Finance uses for revenue.

ClickMLReeve
What xAQUA Doesn't Do

The work that stays yours.

xAQUA does the repetitive and the toil. The strategic work — the work that needs a human in the loop — stays with you. Here's where the line is.

🧠
Architecture decisions
What data platform you choose. What schemas you model. How you partition. xAQUA runs on top of your decisions; it doesn't make them.
🎯
What ‘good’ means
Quality rules, business definitions, PII policies — all configured by you. xAQUA enforces what you define; it doesn't invent your standards.
🔍
The judgment calls
Whether a 0.94 match score is good enough to merge. Whether a model is fair to deploy. Whether the answer makes business sense. Humans in the loop — every time.
🛠️
The custom modeling
The hard analyses that need domain expertise. The algorithms that don't fit a template. The deep work. xAQUA hands you the data clean and governed; the modeling is still yours.
Where Your Time Goes

Less glue work. More high-value work.

The same eight hours in the day. xAQUA shrinks the toil — ad-hoc tickets, pipeline plumbing, schema mapping — so the work that needs you actually gets you.

Where your week actually goes 5-day workweek · typical mid-size enterprise data team TODAY · WITHOUT xAQUA Glue work, integrations, pipeline firefighting 60% · 3 days Ad-hoc tickets 25% · 1.25d Real work 15% Mon Tue Wed Thu Fri xAQUA TAKES OVER THE GLUE WITH xAQUA Glue 15% Tickets 10% Modeling, architecture, strategy — the work humans do best 75% · 3.75 days a week Mon Tue Wed Thu Fri Augmentation, not replacement Same team. Better ratio. 5× more strategic output From 1 day a week → 3.75 days No headcount cuts needed Just less burnout.
Toil (today)High-value work (with xAQUA)
🤝
xAQUA augments your data team, not replaces it. Your engineers and analysts stop firefighting glue work — and get back to the high-value work only humans can do.
−80%
Ticket Queue
Business users self-serve their own questions
Year → Weeks
Migration Timeline
Real customer: stalled year → 6 weeks, one analyst
Source of Truth
Same definitions for analytics AND ML
Higher
Job Satisfaction
More modeling. Less glue.
Customer Story · In Production
A stalled Salesforce migration shipped in six weeks — handled by one analyst.
After a year of false starts, the customer's data team brought in xAQUA. Composer mapped the Salesforce custom objects. Athyna orchestrated the pipeline. Qualix verified row-level integrity. Six weeks later, cutover. One analyst. No army of consultants. The team got their roadmap back — and used the time saved on actual data modeling.
1 analyst
Headcount on the migration
1 year → 6 weeks
Stalled to delivered
0 data loss
Continuous quality verification
Ready to start?

Take the toil off your plate.
Keep the work you love.

See xAQUA handle a real workflow on your data — and tell us if we did it justice.