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Intelligent Data Operations for Modern Enterprises

Delivering data intelligence, asset optimisation, and data & AI compliance

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Context Evaluation & Cross-Platform Coordination

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Autonomous Metadata Outcomes

What Alex Delivers

BI Cost Optimisation

Identify duplicate reports and metrics; find immediate opportunities for cost reduction.

See What Should Stay.

Analyse usage, lineage, metrics, and dependencies across your analytics environment to start cutting BI waste.
Cut BI Costs

M&A Data Rationalisation

Safer consolidation decisions with a clear, actionable view of complex environments.

See What Matters Before You Consolidate.

Alex maps systems, lineage, and dependencies across the combined environments so you actually gain operational insights and actionable rationalisation.
M&A Data Rationalisation

Always Audit Ready

Gain confidence in regulatory reporting with clear, automated, end-to-end Data Lineage

Prove Lineage Across Systems

Alex maps systems, lineage, and dependencies across the combined environments so you actually gain operational insights and actionable rationalisation.
Understand Your Lineage Gaps

Data Intelligence Simplified

Alex connects and exposes how your data actually works across systems - pipelines, metrics, reports, and business context - so you can trust decisions, eliminate inefficiencies and cost, and maintain audit-ready compliance across data and AI.

reports
pipelines
metrics

Trusted Data Intelligence

Automated Data Lineage
Transformation-aware lineage for end-to-end explainability.
Active Metadata Execution
Metadata Orchestration for Governance at the Point of Decision
Semantic Context Intelligence
Graph-Native Semantic Modeling for Unified Enterprise Meaning

Deep Automated Lineage (DLS): Move beyond static connection maps. Alex DLS computes high-fidelity lineage by parsing SQL, ETL, and BI code at the attribute level. It handles billions of history events to provide a deterministic audit trail across legacy, hybrid, and multi-cloud estates.

Your Active Metadata Fabric: Shift from passive documentation to active enforcement. Our OpenMetaHub utilizes Policy-as-Code to push governance signals—such as data masking and access controls—directly into source systems like Snowflake and Databricks.

Unified Enterprise Semantics: Decouple business logic from physical storage using the Alex Knowledge Graph. Map technical assets to a robust Business Glossary and Semantic layer to bridge the gap between IT and the Business, allowing stakeholders to query data based on organizational context rather than location.

Lowest Total Cost of Ownership

One Platform Price For All

Platform

Alex is a unified active metadata fabric for data & AI governance. All capabilities—catalog, lineage, quality, policy, privacy—under one platform.

Price

Single subscription based on data assets—not seats or usage. No add-ons, no overages. Predictable pricing at enterprise scale.

Users

Unlimited users included. Open enterprise-wide access drives adoption and faster, safer decisions—without budget friction.

The Leader's Choice

Read Full Reviews
Outstanding visionary technology backed up by sensational service!
CEO & Co-Founder <50M USD Software

the product has delivered the capabilities that we have requested and importantly, we have found the vendor particularly easy and helpful to work with.

Trusted partner who continues to innovate and impress
General Manager 10B+ USD Telecommunication

Alex have proven over multiple engagements with different parts of our business to have both impressive solutions and responsive service.

The solution delivers exactly what it says it will.
CIO Gov't/PS/Ed Energy and Utilities

The vendor had a clear and articulate understanding of their tool and how it delivers value to the organisation. They were able to clearly identify all components of the chosen systems including identifying previously unknown relationships and data movements.

ALEX has a solution/product provided Metadata/data lineage visibility to the Organisation
Head of IM Architect 50M-1B USD Healthcare and Biotech

Metadata management is an important asset. With growing breath and width of data in the industry, it is evident that there are strategic Medatada management systems. Alex had what we wanted and deployment was satisfactory.

Product Offers Automation and Scalability but Faces Complexity and Cost Concerns
SYSTEM ENGINEER

My best reasons are: 1. Advanced, Fully Automated Data Lineage & Quality. 2. Comprehensive & Unified platform. 3. Strong Governance & Metadata 4. Enterprise-Grade Scalability & Cost Efficiency.

Positive Experience With Intuitive Design, Concerns Over Service Responsiveness
Sales Manager

It is a very good solution, ergonomic and intuitive.

Efficient Interface Makes ALEX User-Friendly for Data Quality Management
Data Analyst

in the beginning , using ALEX was a little unfamilliar , but once i got used to it , the experience became smooth and effective . the interface is easy and it handles data tasks effectively without complexity and it helps me me to trsut my data and reduces manual checking..

Revolutionizing Decision-Making with ALEX's Data Management System
IT Services Associate

Our decision-making process has greatly since we started utilizing the ALEX, thanks to reliable data analysis and facts. Data can be shared quickly and easily between systems. For me, Alex's data management system is the best.

case studies

Business Value from Day One

Import Records at Leading Retail Bank
1 B+

Alex processed 2.5B+ import records ingested from 10+ individual connectors, governing 36M assets; automating and simplifying privacy and compliance.

Relationships Mapped at Global Top 50 Bank
10 M

For one of Australia’s biggest banks, Alex ingested 11M+ assets, built 17.5M relationships, and traced lineage on 180M+ properties to satisfy APRA regulatory demands.

Records Profiled For Data Quality
10 M+

A top renewable energy provider applied 12 OOTB Alex Data Quality rules against 200+ columns across 60+ source systems and 91.23M data records.

Let’s put your data to work

Trust decisions, eliminate inefficiencies, and maintain audit-ready compliance across data and AI.