Helm does not just retrieve data. Grounded in a live digital twin, it reasons through business structure, constraints and value drivers to answer harder questions.
These five short demos show that range, from grounded retrieval through to feasibility testing, causal decomposition and sensitivity analysis.
This is the Analyst at its most direct: resolve intent against the twin, retrieve the relevant metric, and return it with full provenance. It gives users reliable access to operational and financial data without manual filtering, while keeping every answer traceable back to source.
This is more than retrieval across extra dimensions. The Analyst can resolve a single request across multiple business objects, time periods and aggregation rules without forcing the user to structure the analysis first. Because it understands how the twin's hierarchy and cost logic fit together, it can move between site-level and asset-level views and return one coherent answer instead of stitched-together outputs.
The Analyst can take user-specified assumptions, apply them to the twin's operating model, and reason about whether a plan is physically achievable. This goes beyond retrieval: it combines asset parameters, business rules and contextual constraints to evaluate feasibility, explain where the plan breaks, and show why.
The Analyst does more than report a miss. It traces variance through the twin's value-driver logic, separating the gap into the components that actually explain performance. Even when the logic depends on more complex formulas, it can break results into fair driver contributions using advanced methods such as Shapley decomposition. That lets it move from a top-line question to a defensible root-cause view in seconds.
The Analyst can perturb a driver, propagate that change through the twin, and show how outcomes move across a scenario range. That turns the model into a live reasoning engine for planning conversations: users can test assumptions, quantify exposure and see where performance becomes sensitive.
NoteAll demo animations on this page are extracted from live AI Analyst query sessions. Run-time has been compressed for display purposes — actual query durations typically range from one to three minutes. The data shown is simulated.
A briefing typically takes 60 minutes. We will show the platform applied to a business that looks like yours - with your data, your value drivers, your scenarios.
