Most enterprise AI starts with a warehouse and bolts a semantic layer on top. We started with the model of the business. The architecture is different - and the kind of question we can answer is different as a result.
The twin is not a visual layer or a glossary. It is where business logic lives. KPIs, drivers, constraints, rules and relationships are encoded once in the model, not rewritten in every report, script or application.
Update a rule, driver, definition or assumption once in the twin and every AI answer, dashboard, meeting pack and application that depends on it inherits the change. The system stays aligned because the logic is centralised.
Twins were historically slow and specialist-built. We use AI to construct the twin itself, collapsing months into weeks. But the result is not a black box: it is inspectable, versioned, audit-logged and editable through a visual modeller.
Modules do not bring their own disconnected logic. They read from the same twin. Customers add capability without re-defining KPIs, re-building connectors or re-architecting integrations, and every twin enrichment sharpens every module.
Helm does not stop at analysis. Meetings, packs, decisions, initiatives, costs, benefits and actions can coexist in the same system and run against the twin. Value capture is tracked from live finance and operations data, not reconciled manually later.
Every output can carry lineage back to source data, provenance through the twin, and confidence about how grounded the answer is. That is what makes the platform suitable for board, audit and regulator-facing use, not just internal dashboards.
Most alternatives fall into three adjacent shapes. Each is useful for what it does. None is designed as the executive intelligence layer for complex operating businesses.
Comparison reflects common category deployment patterns, not a literal feature checklist for every named product. Individual vendors can be extended beyond these baselines, usually through custom modelling, application logic, or adjacent tools.
Most often CFOs, CEOs, COOs, Chief Strategy Officers, and Chief Transformation Officers in mining, energy, utilities, infrastructure, and heavy manufacturing - but also leaders in other sectors where operations, capital allocation, or execution complexity mean no single dashboard, deck or spreadsheet captures the whole business.
If a SaaS analytics tool, a BI dashboard, or a spreadsheet model already captures your business well, keep using it. The leverage of a twin shows up when there is enough operational, financial, or execution complexity that the model becomes a management system, not just a report.
A briefing typically takes 60 minutes and walks through how ManagedAnalytics compares to whatever you have today.
