Predictions Data

Act first, reduce risk, and future-proof growth strategies with the Predictions Package. Crunchbase provides AI-powered forecasts on private market movements, giving you visibility into opportunities and risks before they’re visible to the market. Built on Crunchbase’s Fundamentals and Insights data, as well as engagement data from over 80 million active users, Predictions analyze billions of inputs and transform them into actionable forecasts with precision and rigor. This foresight gives you a trusted foundation to prioritize high-ROI opportunities, anticipate risks earlier, and move with confidence in uncertain markets.

For package access and the appropriate API reference, see API Packages Overview. For field definitions, see the Data Dictionary.

Predictions Include

Funding Predictions

Assess which companies are likely to raise funding. Use the timing probabilities described below when you need a forecast window; the overall probability has no fixed horizon. Field definitions.

Exit Predictions

Identify companies with high potential for IPO or acquisition to guide M&A targeting, portfolio strategy, and exit planning. Acquisition fields · IPO fields.

Growth Predictions

Spot organizations expected to expand headcount or revenue in the near term, helping you prioritize high-momentum accounts. Field definitions.

Layoff Predictions

Detect early signals of workforce decline to de-risk pipelines, adjust targeting, and anticipate organizational instability. Field definitions.

Closure Predictions

Assess the likelihood that a company will close to identify risk in portfolios, pipelines, and account coverage. Field definitions.

Remain Private Predictions

Assess the likelihood that a company will remain private to inform exit expectations and investment planning. Field definitions.

Interpreting prediction scores

Overall probability

probability_score is a number between 0 and 1; for example, 0.8 represents an 80% probability of the outcome described by the prediction type. It has no fixed prediction horizon: it refers to the outcome occurring at any time after generated_on.

Timing probabilities

Acquisition, Closure, Funding, and IPO predictions also expose probability_score_timeseries. Each value represents the probability of the event occurring during the named month interval, measured relative to generated_on. For example, months_06_to_11 refers to months 6 through 11 after that date, rather than a cumulative probability through month 11.

The standalone probability_score is rescaled separately. Do not calculate it by summing the time-series values or assume a direct mathematical relationship between the two.

Growth, Layoff, and Remain Private predictions do not expose probability_score_timeseries.

Reference date

All seven prediction types expose generated_on, the date on which the prediction was generated. Use this date as the reference point for the relative month intervals.

Use Cases

GTM Teams

Prioritize accounts flagged by Funding or Growth Predictions to engage before competitors.

Adjust targeting with Layoff Predictions to avoid stalled or at-risk accounts.

Feed Predictions into sales automation or customer-facing enrichment tools to keep pipeline scoring real-time and competitive.

Investors

Anticipate milestones with Funding and Exit Predictions to capture high-ROI opportunities first.

Use Layoff and Closure Predictions to de-risk portfolios and protect returns.

Integrate Predictions into proprietary investment dashboards or risk models to guide portfolio strategy.

Wealth Managers

Spot pre-liquidity opportunities with Exit and Funding Predictions to build client relationships early.

Guide capital deployment with foresight into growth or risk signals across private markets.

Embed Predictions into client engagement platforms or portfolio tools to deliver proactive wealth strategies.