ManagedAnalytics was founded by a team of industry operators, transformation leaders and AI engineers who spent careers running mining, energy and infrastructure businesses — and watching dashboards and ML projects stop short of the questions executives actually ask.
Asset-intensive industries are the backbone of the global economy and the slowest to be served by modern AI. The questions that matter in these businesses — why margin is moving, where capital should be allocated, which initiative is actually working — are too complex for dashboards and too consequential for off-the-shelf models.
We model the business itself. Then we let AI reason over that model. Everything we build is in service of that single architectural decision.
Pattern-matching can suggest. Models can explain. The executive question is always "why?" — answer that, or get out of the way.
It is a precondition. Every output traces to source data and model lineage. Boards, auditors and regulators are entitled to ask.
One twin, many modules. Customers grow into the platform — they don't re-procure into it.
If the first executive use case is not in production by week 12, we have built the wrong thing. We design every engagement against that bar.
The product is shaped by people who have run the businesses we sell to. Industry leads on every account; no analytics-tourist consultants between the executive team and the model.
Sydney & Johannesburg
Mining · Energy · Utilities · Infrastructure · Manufacturing
By introduction
Operators, Management and Strategy Consultants, Software Engineers
We are always happy to spend 45 minutes with executives wrestling with these problems — even if there is no near-term commercial fit.
