ManagedAnalytics Helm is an open executive intelligence platform for asset-intensive businesses, built on a live digital twin of the business itself.
AI analysts, dashboards, reporting, scenarios and extensible modules all run on the same model, so every workflow shares the same business logic.
Dashboards cannot answer those questions. AI bolted onto data warehouses struggles too, because warehouses store tables, not how the business actually works.
Most enterprise AI today is reasoning over a document dump.
We built the model first.
Snowflake, Databricks, Microsoft Fabric, dbt and the BI tools define KPIs, glossaries and semantic models over warehouse data. They define KPIs, glossaries, semantic models. The result is a layer of definitions over a layer of storage.
We model the business itself: assets, processes, value chains, costs, drivers, constraints and rules. Then AI reasons over that model.
That makes the answers causal, not just descriptive. The system can explain what changed, what is binding, what breaks under a scenario and which initiatives are moving which drivers.
Legacy twin programmes take quarters and often stop at single assets because enterprise-scale modelling was too expensive to build by hand. We use AI to help construct the twin itself, so you can stand up a live use case against real data, real processes and real decisions in 6–8 weeks.
The executive intelligence platform is three pillars built on a living model of your business.
Variance, value drivers, and AI causal explanations grounded in the twin.
Strategy alignment, scenario modelling, and decision support - all running against the live twin.
Initiatives, accountability, and value tracking. Auditable value, not asserted value.
ManagedAnalytics is purpose-built for industries where physical operations, capital, and complex value chains determine performance. Our digital twin produces the most leverage exactly where the business is most complex.
If you lead an asset-intensive business and need more than descriptive dashboards, we will show you what twin-grounded AI looks like on your own data.
