SCRYE is a decision intelligence platform that simulates how customers, fans, and markets respond to your next move, so you can pressure-test scenarios before you commit.
A merchandiser commits inventory to a drop without a credible read on how it will land. A marketer launches a campaign without a usable model of segment response. A strategy team weighs partnerships and pricing changes with frameworks that assume the past will repeat.
Traditional BI tells you what already happened. Forecasts collapse the future into a single number. Neither helps you reason about what could happen, why, and what to do about it.
SCRYE is built for that gap.
Synthetic populations, grounded in real customer data and behavioral research, model how distinct segments would respond to a proposed decision. Outputs are cohort-level distributions, not individual predictions.
Real-time external signals from social, search, secondary markets, and platform-specific sources are weighted into the simulation as evidence, not noise. Each signal carries provenance and weight.
Operators frame the question and supply their assumptions. The system produces comparable scenario outcomes with confidence ranges and a full audit trail. The human stays in the loop.
SCRYE does not ask your team to live in a new dashboard. The simulation, signal, and synthesis layers run continuously beneath the tools your operators already use. When a decision is on the table, the relevant insight surfaces, with its assumptions, its evidence, and its confidence range one click away.
Test a drop, an SKU mix, or a pricing change against simulated customer and fan response before committing inventory.
Pressure-test campaign concepts and channel mix against motivational segments, not just demographics.
Compare partnership, pricing, or product launch scenarios with explicit assumption inputs and explainable outputs.
SCRYE is built for enterprise operators who will be asked to defend the decisions it informs.
Outputs are cohort-level distributions, not individual predictions.
Predictions are calibrated against real-world outcomes.
Every scenario carries its assumptions, evidence sources, and confidence range. Every decision logged compounds the next forecast.
We are running a small number of design-partner pilots in 2026. If you lead a function where decisions get made under uncertainty, and you have a real one we can frame together, we want to hear from you.
Tell us what decision is on your desk. Pilot intake is reviewed by the SCRYE founding team.
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