Product
AggregateEvery scattered source into one canonical timelineDetectReach decay, VOC spikes, competitor moves, stockout riskEvidenceThree-way attribution, hypothesis testing, hallucinations strippedActCreator tier focus, budget reallocation, new creative angleOptimizeContract acceptance, outcome ledger, control-group guardsCase Study
16 weeks after onboarding: measured vs control baseline
Case Study
Where it startedHow the engine ran itAsk it anythingThe 16-week resultBaseline & methodAll case studiesCase Study
16 weeks after onboarding: measured vs control baseline
Method, architecture and practice. Every number here comes from our own backtests or a client's measured results, and clicks through to its evidence.
A dashboard shows you the outcome, not the signal that came before it. We backtested a real client's history to measure exactly how much time that gap wastes.
Read the post →Put a general-purpose model in front of a dashboard and it will hand you a number that sounds right. Our division of labor: statistics compute, the agent reasons, and every figure must pass an evidence-grounding check.
Read the post →"Try a different creative." "Put more budget behind it." With no metric or window fixed in advance, nobody can say afterwards whether it worked. The ledger's rule is simple: fix it before, record it honestly after.
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