Structured data
Forecast numeric outcomes from historical and contextual signals.
Harus · Forecast Engine
From a single
number to the full
range of what’s
possible.
Harus turns numeric signals into probabilistic future scenarios for decision-making under uncertainty.
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Forecasting architecture
A range of futures, not a single false certainty.
Harus combines a native diffusion-style time-series forecasting runtime, scenario simulation, graph context and validation in one workflow.
Graphs
Connect forecasts to facts, entities, relationships and evidence.
Context
Inspect assumptions, compare scenarios and validate forecast outcomes.
Probabilistic outputs
See the expected path and the range around it.
P10, P50 and P90 forecast paths make uncertainty visible, while rolling-origin backtesting compares performance across historical windows in the implemented P&L workflow.
Runs inside your organization
Forecasting connected to business context.
Use structured data, contextual evidence and validation outputs in one reviewable decision workflow.
make uncertainty
visible
Build decisions around probabilistic scenarios and evidence context.
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