Our proof page shows that Cenva’s forecasts are measured against reality. These samples show what the same research and monitoring workflow produces for companies, strategic questions, and recurring themes that never appear on public prediction markets.
Our proof page measures forecast accuracy against outcomes. These samples show the research artifacts and monitoring workflows the system produces day to day.
Company briefs, monitoring workflows, question packs, and related artifacts presented as scan-friendly product examples rather than posts or essays.
Bull/base/bear scenarios, competitive signals, and key questions for a tracked company. The kind of memo an analyst would spend a week on.
Always-on watchers that re-run when evidence changes. Leadership moves, regulatory filings, competitive announcements — surfaced with context, not just headlines.
Structured question sets around a theme. “What happens to AI infrastructure spending if rates stay high?” — broken into forecastable sub-questions with probabilities.
Your team’s own questions, run through the same multi-agent pipeline. “Will our supplier hit the Q3 delivery date?” gets the same rigor as a public market question.
Deep-dive research behind a single forecast. Full evidence trail, key drivers, uncertainties, and the specific triggers that would change the probability.
What the system forecast, what actually happened, and what it learned. Published for every resolved question — hits and misses both.