Most decisions still rely on whoever is loudest, most senior, or last to weigh in. The research on forecasting has been clear for over a decade: a structured crowd consistently outperforms individual experts — and surfaces the dissenting signal that a single voice tends to bury.
Overconfidence, optimism bias, motivated reasoning. Even your best individual forecaster has them. Aggregating across a crowd quietly cancels them out.
Critical signal lives in the people closest to the work. Most decision processes never elicit it; the rest collect it as opinions, not as forecasts you can score.
Without measured probability estimates, there's no way to tell who was right, who was confident-and-wrong, or whether your team is getting better over time.
Static reports go out of date the day they ship. A forecasting platform updates as the world updates — and tells you when the consensus has moved.
After running enterprise and government programs for over a decade, four use cases keep coming up. The pattern: questions where dollars, deadlines, or strategy hinge on getting the probability right — and where one expert's opinion is no longer enough.
Forecast which projects in your R&D, product, or investment portfolio will hit their milestones — and which are quietly drifting. Reallocate before the quarterly review, not after.
Track competitor moves, M&A activity, regulatory decisions, and product launches with continuously-updated probability estimates from the people closest to the signal.
Get an honest read on whether milestones, deadlines, and project risks will land where status reports say. Surface slippage early enough to course-correct.
Build a single organizational consensus on the markets, indicators, and geopolitical events that move your business — captured continuously, not just at quarterly off-sites.
A sampling of the commercial, government, academic, and non-profit programs that have run on the platform.
Forecasting exploratory well success and competitive activity in Gulf of Mexico lease sales.
Forecasting future product success in market and competitive product launches.
Forecasting the likelihood of success for early-stage drug compounds across the pipeline.
Crowdsourcing sales forecasts from across the sales and marketing organization for sharper revenue predictions.
Demand planning forecasts pooled from corporate planners and dealership management.
A public forecasting program soliciting diverse outside views to sharpen RAND's analysis.
A public forecasting program tracking the future of the transatlantic relationship.
Teaching kids critical-thinking and probabilistic-reasoning skills through structured forecasting.
Tapping the alumni network for forecasts on global business and political questions.
Fire managers across the service forecasting risk and severity for the upcoming fire season.
Quantifying nuclear and biological hazard risks to U.S. cities across multiple timelines.
Forecasting which research programs will transition into broader federal use.
A university-wide forecasting tournament teaching critical thinking and probabilistic reasoning.
Quantifying the likely outcomes of market-moving economic indicators.
A government-wide forecasting program ("Cosmic Bazaar") for high-impact geopolitical events. Profiled by The Economist.
A complete lifecycle for asking forecast questions, gathering probability estimates, scoring outcomes, and learning from results — all in one platform your team actually uses.
Author a binary, multi-choice, or numeric forecast question with a clear resolution date. Workflow tools let your crowd suggest and refine candidate questions before they go live.
Participants submit probabilistic forecasts and rationales — anonymously or attributed — and update them as new evidence arrives. The platform aggregates each new submission into a single calibrated consensus that updates in real time.
Real-time aggregation produces a single calibrated consensus that updates as forecasts come in. Comments and supporting links surface the reasoning behind shifts so the why is never a black box.
Once a question resolves, every participant is scored with Brier-style accuracy. Leaderboards, personal performance analytics, and exportable data make it easy to see where your team is sharp and where it's drifting.
Most forecasting tools handle the easy half — gathering inputs. The hard part is everything else: getting good questions out, keeping forecasters engaged, scoring rigorously, and making the output usable across your organization. Cultivate Forecasts was built for the whole program, not just the form field.
The hardest part of running a forecasting program is writing the right questions — clear, unambiguous, and resolvable. Cultivate Forecasts gives your team a complete authoring workflow with collaborative drafting, editor approval, and templates so questions go live faster and resolve cleanly. Binary, multi-choice, and numeric formats supported.
Forecasts only matter if the consensus is calibrated. Cultivate Forecasts uses aggregation techniques honed across a decade of IARPA-funded research — including time-weighted aggregation, accuracy-weighted ensembles, and full calibration analytics — with complete transparency into how every number is calculated. Your data scientists can verify the math; your decision-makers can trust the output.
The biggest failure mode for enterprise forecasting programs is participation drying up after week three. Cultivate Forecasts is designed to keep your forecasters in the loop: discussions and rationales build a sense of shared work, leaderboards create healthy competition, optional anonymity lowers the cost of dissenting, and email + mobile notifications keep questions on people's radar without pestering them.
Cultivate Forecasts isn't another silo — it's meant to be the source of probabilistic truth your other systems pull from. SAML/OIDC single sign-on integrates with your existing IAM. The REST API and webhooks push forecasts into BI tools, internal dashboards, and analytical models. Full CSS theming and multi-language support make it look and feel like part of your environment, not a third-party tool.
Most platforms make you choose: a community of human forecasters, or an AI agent that runs on its own. Cultivate Forecasts is one of the only platforms that runs both — natively. The Hinsley AI Forecaster participates alongside your human crowd, contributes its own probability estimates with full reasoning, and gets aggregated into the same consensus. The combination consistently outperforms either method alone.
The AI Forecaster monitors evidence continuously and revises its estimate as the world changes — so every question has a live machine forecast, even when your human crowd hasn't refreshed in a few days.
Aggregate human forecasts and AI forecasts together, weighted by historical accuracy. Two independent systems cross-checking each other, with neither becoming a single point of failure.
Every AI forecast ships with a structured rationale — base rates, current evidence, time remaining — visible to your forecasters. No black boxes, no unexplained numbers.
Some teams need to be up and running by next Monday. Others have data classification, residency, or compliance constraints that rule out shared infrastructure entirely. Cultivate Forecasts ships in four hosting postures — same platform, same capabilities, different security and operational profiles.
Public forecasting communities are useful for general questions and public attention. But when the questions are proprietary, the answers feed real decisions, and the data has to live inside your perimeter, you need a different kind of platform.
Your questions, your forecasters, your data — never visible to a public community. Run on our SaaS, on dedicated infrastructure, on-prem, or fully air-gapped when classification requires it.
Match your brand with full CSS customization. Translate the entire experience into other languages. Run multi-language versions of the same question for international programs.
REST API, CSV exports, pre-packaged executive summaries, and webhook events. Cultivate Forecasts is built to be a source of probabilistic truth your other tools can pull from.
Our team has run more enterprise and government forecasting programs than anyone. Workshops, training, decomposition methodology, and program design come standard — your forecasters succeed faster.
SaaS for the standard case. Dedicated environments for sensitive programs. Fully air-gapped deployment for classified workflows. One platform, three deployment postures.
IARPA ACE, Good Judgment Project, RAND's public forecasting site, Bertelsmann's leaderboard — when serious institutions run serious forecasting programs, they've often run them on our platform.
Schedule a 30-minute demo and we'll walk through how Cultivate Forecasts fits the questions, decisions, and team you actually have.