Outcome ingestion
Connects post-rollout metrics, research findings, and operational data to the predictions that preceded them.
Technology · Calibration
Calibration closes the loop between synthetic prediction and observed reality—tracking where models hold, where they drift, and what assumptions need revision.
Evidence for trust
Capabilities
Connects post-rollout metrics, research findings, and operational data to the predictions that preceded them.
Maintains a record of what the model expected versus what happened—across segments, scenarios, and time horizons.
Feeds discrepancies back into persona parameters, behavioral constraints, and population assumptions.
Gives teams a defensible basis for relying on simulation output—not blind faith in synthetic audiences.
Calibration is how Aetherya earns trust over time. Simulations that never meet reality are hypotheses; calibrated models are evidence.
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