DataGinii
Private betaby ZettaVyre

Turn data uncertainty
into trust.

AI-powered, metadata-first data assurance for pipelines, migrations and ML/AI workloads.

DataGinii catalogs your data from its metadata, then Gen AI writes the checks and runs them end to end, across data pipelines, migrations and ML/AI readiness. Your team reviews and approves, and every result is deterministic and auditable, never an AI guess.

  • On-prem or your own cloud VPC
  • Data never leaves your infrastructure
  • Scales to your data volume
  • AI-assisted, human-approved
  • Deterministic, auditable results
  • Australian-built

Built by ZettaVyre, a data & AI product studio, for the data, platform and QA teams who can’t afford data they can’t trust.

Works across your entire data stack
PostgreSQL MySQL MariaDB MongoDB Oracle SQL Server SQLite Snowflake BigQuery Redshift DuckDB Kafka Elasticsearch Iceberg Parquet CSV JSON PostgreSQL MySQL MariaDB MongoDB Oracle SQL Server SQLite Snowflake BigQuery Redshift DuckDB Kafka Elasticsearch Iceberg Parquet CSV JSON
The problem

Bad data slips through
because testing is manual and time-consuming.

  • Migrations and pipelines are signed off on spot-checks and hope, because full reconciliation is too slow to do by hand.
  • Validation means engineers hand-writing brittle SQL for every table, every release.
  • Silent mismatches surface downstream, in the reports and models the business already trusts.
The solution

DataGinii does the heavy lifting.

Point DataGinii at your source and target, and it takes over the busywork: cataloging, profiling and building the checks from prebuilt templates, then running them at scale. You stay in the loop to review and approve, turning manual, script-heavy testing into intelligent validation you can trust.

  • No brittle SQL scripts to write or maintain
  • Full reconciliation, not just spot-checks
  • Issues caught before they reach production
  • Audit-ready evidence for every sign-off
Use cases

One platform,
every data-trust problem.

Each use case ships with prebuilt validation templates, so your team starts in minutes, not sprints.

ETL testing for lakehouses

Validate transformations and loads across lakehouse formats and warehouses, from Iceberg and Parquet to object storage and the modern data stack, before bad data reaches production.

Data reconciliation

Prove source and target agree, across systems and databases, without hand-writing a single reconciliation script. The Smart Diff engine finds and classifies every mismatch.

Migration testing & reconciliation

De-risk a migration end to end: pre- and post-load checks plus full source-to-target reconciliation, so you cut over with evidence instead of anxiety.

Data readiness for ML & AI

Certify that the datasets feeding your models are complete, consistent and trustworthy, with a readiness score, so your AI initiatives build on solid ground.

See the full platform
How it works

The process you know,
the work done for you.

Follow the familiar data-testing workflow. AI does the labour; you stay in control at every gate.

01

Connect

Securely connect your databases, warehouses, lakehouses and files. Only metadata leaves your environment. Your data never does.

02

Catalog & profile

DataGinii discovers schemas, profiles your columns and scores data readiness, building a unified catalog in minutes.

03

AI generates

Gen AI authors the test plan, maps the columns, builds the test cases and assembles them into suites, all from prebuilt templates. The heavy lifting, done for you.

04

Validate & reconcile

The Smart Diff engine executes your test cases across source and target, classifying every mismatch it finds.

05

Review & approve

Drill from executive summary down to the exact row, then approve. Humans decide; AI just clears the path.

Platform

Meet DataGinii,
your data-trust engine.

Every capability you need to prove your data moved correctly, with AI doing the heavy lifting.

Unified metadata catalog

Auto-discover, profile and understand every dataset, all in one place.

  • Automatic schema discovery and column profiling
  • AI-enriched descriptions and PII detection
  • A single pane of glass across every source

AI-generated mapping specs

AI pairs source and target columns with confidence scores. You approve.

AI-built test plans & suites

AI drafts the test plans, builds the test cases and assembles them into suites.

Out-of-the-box templates

A growing library of dialect-aware validation checks. No SQL to write.

DQ Studio

A visual workspace to author, review and orchestrate everything.

Smart Diff engine

Reconcile source vs target across any system, and classify every mismatch.

Scales to your data volume

Scale out and up, with horizontal and vertical scaling that grows with your data.

Drill-down reporting

From executive summary all the way down to the exact mismatched row.

Data readiness score

Certify that datasets are trustworthy and AI/ML-ready.

Explore the platform
How it works

See it
work.

The end-to-end flow: AI drafts the mappings and tests, your team reviews and approves, then DataGinii reconciles source against target and reports.

Connect
Catalog & profile
AI
AI drafts mappings & tests
HUMAN
You review & approve
Assemble & run
Reconcile
Results & evidence
Observability & AI spend

Total transparency,
down to the test case.

Every run, every AI call, every dollar, logged and visible. No black boxes.

Full execution logs

Step-by-step logs for every job: orchestration and each AI call, streamed in real time.

AI spend to the test case

Tokens, latency and cost for every LLM interaction, attributed down to the individual test case.

Run health at a glance

Live KPIs: running now, failed runs, success rate, scheduled flows and month-to-date AI spend.

Privacy & security

Privacy and security,
built in by design.

DataGinii is engineered to earn the trust of the teams whose data it validates.

Deploy in your own environment

Run DataGinii on-premises or in your own cloud VPC, your choice. Only metadata is extracted; comparison and reconciliation jobs run inside your infrastructure, so your data never leaves it.

Automatic PII detection

During enrichment, DataGinii flags personal and sensitive columns, so privacy risks surface before they ever spread.

Encrypted and access-controlled

Credentials are encrypted at rest, with role-based access for viewers, operators, stewards and admins.

Deterministic and auditable

Every result is traceable from executive summary to the exact row. Evidence you can stand behind.

Every major source
Warehouses, databases, lakehouses & files
AI-generated tests
Mapping specs, plans & suites, built for you
Catalog in minutes
From first connection to first insights
Your data stays put
Only metadata ever leaves your environment
Where we’re headed

Today AI assists. Next, it takes the wheel.

DataGinii is in private beta. Human-in-the-loop is how we start, and here’s where we’re going.

Roadmap

Agent network

Autonomous agents that plan and run validation end to end, escalating only the decisions that need you.

Roadmap

Continuous monitoring & alerting

Scheduled validation with proactive alerts the moment data drifts out of tolerance.

Roadmap

Self-adapting checks

Validation logic that learns your data and proposes its own updates, with your approval.

Behind DataGinii

Solving real business problems, leveraging Data & AI.

ZettaVyre is an Australian product studio that builds data- and AI-driven software to solve real business problems. DataGinii is our first product, engineered by practitioners who have lived through enterprise data failures and are determined to make them a thing of the past.

Meet the team
Data + AI product studio
Founded in Sydney, Australia
DataGinii, our first product
Partners

Grow your network
with ours.

We’re actively growing our network of partners: consultancies, systems integrators, and technology partners who help teams trust their data. If you’d like to partner with ZettaVyre and DataGinii, we’d love to hear from you. Get in touch if you’re interested.

FAQ

Frequently asked
questions.

Everything you need to know about DataGinii and ZettaVyre.

DataGinii is ZettaVyre’s flagship product: a metadata-driven, AI-powered data platform that validates data pipelines and data migrations end to end. It catalogs and profiles your data, and Gen AI generates the test plans, mapping specs and test cases, then runs them across source and target so you can prove your data moved correctly.

AI does the heavy lifting. From a library of prebuilt validation templates, it authors your test plan, drafts the mapping specs, builds the test cases, assembles them into suites and runs them. But you stay in control: every artifact is reviewed and approved by your team. Our principle is simple: AI augments, humans decide.

Just about any data-trust check across your stack: validating data pipelines in lakehouses and warehouses, reconciling data across systems, testing end-to-end data migrations, and certifying data readiness for ML and AI. Run it as part of your SDLC, in development and CI before release, or continuously in production operations. Every use case ships with prebuilt templates, so you start in minutes.

Yes. DataGinii connects across the modern data stack: cloud warehouses, relational and NoSQL databases, streaming, lakehouse formats and files. Validate wherever your data lives, cloud or on-prem.

No. You deploy DataGinii in your own environment, on-premises or in your own cloud VPC, your choice. Only metadata (schemas and statistics) is extracted to build the catalog; the comparison and reconciliation jobs run inside your infrastructure, so your actual data never leaves it.

DataGinii is in private beta with a small group of partners. If you’re running a migration or wrestling with pipeline data quality, get in touch. We’d love to have you.

ZettaVyre, an Australian product studio founded and headquartered in Sydney, NSW, building data- and AI-driven software products. DataGinii is our first.

Now in private beta

Ready to trust your data?

We’re building DataGinii with a small group of early data teams. Tell us about your migration or pipeline challenge, and we’ll be in touch.

© 2026 ZettaVyre · Sydney, NSW, Australia

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