V1 ✓ ───── V2 ✓ ───── V3 ✓ ───── V3.5 ✓ ───── V4 🚧 ──Coming Soon ─── V4.5 🚧 Planned
Product Releases
Follow the evolution of Zentarra as we continue building trusted AI analytics for modern organisations.
Version 3.5 (Alpha)
Released: July 2026
Trusted AI Analytics Begins
Version 3.5 introduces the Trusted Data Layer, shifting the focus from simply generating AI answers to helping organisations understand whether those answers can actually be trusted.
New in this release
✔ Data Quality Validation
✔ Trust Scoring
✔ Explainable AI
✔ Data Freshness
✔ Validation History
✔ Intelligent Analysis Blocking
Version 3
A More Polished Experience
Version 3 transformed Zentarra from a working prototype into a modern AI analytics application with a cleaner interface, improved usability, and richer visualisation capabilities.
Highlights
✔ Clarifying Questions
✔ AI Assumptions
✔ Smart Charts
✔ PNG & PDF Exports
✔ Saved Queries
✔ Chat History
Version 2
Building the Foundation
Version 2 focused on stability, usability, and transparency, making AI-generated analytics easier to understand and more reliable.
Highlights
✔ SQL Transparency
✔ Query Validation
✔ Improved Interface
✔ Better Reliability
Version 1
The Beginning
The first working version of Zentarra demonstrated that natural language could be translated into SQL and executed against enterprise databases.
Everything that exists today started here.
Looking Ahead
Version 4
Coming Soon
The next major release transforms Zentarra into a collaborative enterprise platform.
Planned capabilities include:
* Shared Workspaces
* Shared Dashboards
* Shared Queries
* Multi-user Collaboration
* Enterprise Permissions
* Admin Portal
Version 4.5
Planned
Version 4.5 introduces Semantic Intelligence.
Rather than asking AI to rediscover business meaning every time, organisations will be able to define business concepts once and reuse them consistently across AI conversations, dashboards, reports, and analytics.
Planned capabilities include:
* Semantic Layers
* Business Glossary
* Source of Truth
* Query Library
* Deterministic Analytics
* Governance
* Microsoft Fabric Integration
The Future
Artificial Intelligence shouldn’t just answer questions.
It should help organisations understand:
Why was an answer returned
Whether the underlying data can be trusted
Which business definitions were used
Whether the answer is suitable for making business decisions
That’s the future we’re building towards.
