Purpose

Company exits are pivotal moments in the private market — but are often difficult to anticipate. Early visibility into whether a company is likely to be acquired, go public, close, or remain private helps investors uncover opportunities sooner, corporate development teams identify acquisition targets, and business leaders proactively manage market risk.

The Crunchbase Exit Prediction Model operates in two stages. First, it predicts the most likely outcome for a private company: being acquired, going public (IPO), closing, or remaining private. If it is determined the company will get acquired, IPO, or close, the model then estimates when that event is expected to occur. Time-based forecasts are provided across four prediction windows: within 6 months, within 12 months, within 24 months, or beyond 24 months. 

These predictions can be integrated into internal tools, custom products, and analytical workflows to enhance opportunity scoring, streamline market assessments, and surface high-potential companies with greater precision.

What the Model Evaluates

To generate reliable predictions, the Crunchbase Exit Prediction Model evaluates a broad set of proprietary and market-driven signals that provide a comprehensive view of a company's position, momentum, and likelihood of experiencing future exit events.

The Model uses a diverse set of over 120 features, grouped into seven categories:

1. Company and Digital Presence

2. Company Lifecycle Data

3. Funding History

4. Leadership and Hiring Trends
5. Market and Industry Context

6. Peer and Industry Benchmarks

7. Proprietary Crunchbase Engagement Data

Together, these signals enable the model to identify patterns that precede different company outcomes. The result is trusted predictive intelligence giving organizations greater confidence in anticipating future company exits.

What Powers the Model

The Crunchbase Exit Prediction Model is powered by Crunchbase's proprietary private company dataset, built from global private companies with meaningful market activity. The model learns from companies that have experienced acquisitions, IPOs, or closures, as well as companies that have continued operating as private businesses, creating a comprehensive foundation for predicting future company outcomes.

Each company outcome is grounded in verified events captured within the Crunchbase platform, allowing the model to learn from real-world private market activity rather than hypothetical scenarios. 

Unlike approaches that focus only on a subset of exit events or a single prediction horizon, the Crunchbase Exit Prediction Model evaluates the full spectrum of private company outcomes — acquisition, IPO, closure, and remaining private — while estimating expected timing across multiple future time horizons. By pairing likely company outcomes with expected timing, the model provides earlier and more granular visibility into private market exit events before they unfold. 

Model Performance

Crunchbase’s Exit Prediction Model demonstrates strong performance in predicting both the likelihood and expected timing of private company exits.

The model is designed to prioritize precision, helping organizations identify high-confidence opportunities while minimizing false positives. This enables investment teams, corporate development organizations, sales teams, and researchers to focus on companies most likely to experience meaningful market events.

The performance metrics below summarize the model's ability to predict acquisitions, IPOs, company closures, and companies likely to remain private.

*Precision: Of the companies predicted for a given exit outcome, how many actually experienced that outcome.

The model also maintains strong precision across industries where acquisition, IPO, and closure activity is most active. The results below highlight performance across each exit type.

Acquisition Performance Across Target Industries

*Precision: Of the companies predicted for a given exit outcome, how many actually experienced that outcome.

The model demonstrates particularly strong acquisition precision across industries with active M&A markets, helping organizations identify and prioritize high-confidence acquisition opportunities.

IPO Performance Across Target Industries

*Precision: Of the companies predicted for a given exit outcome, how many actually experienced that outcome.

The model maintains strong IPO precision across innovation-driven industries, providing early visibility into companies approaching public market readiness.

Closure Performance Across Target Industries

*Precision: Of the companies predicted for a given exit outcome, how many actually experienced that outcome.

Although company closures are inherently more difficult to predict because they often emerge with fewer observable signals, the model consistently identifies meaningful closure patterns across multiple industries, enabling organizations to proactively monitor potential market risk.

Crunchbase’s Exit Prediction Model also estimates when those outcomes are expected to occur, providing organizations with additional context for planning, prioritization, and strategic decision-making. The model demonstrates measured precision in forecasting near-term exit events while performing especially well at identifying companies with longer expected exit timelines.

*Precision: Of the companies predicted for a given exit outcome, how many actually experienced that outcome.

These results demonstrate the Exit Prediction Model's ability to deliver reliable predictions across both likely company outcomes and their expected timing. 

Whether identifying acquisition targets, monitoring potential market risks, prioritizing sales and partnership opportunities, or researching emerging companies, these predictions provide earlier visibility into milestone private market exits — empowering teams to act sooner and allocate resources with greater confidence.

Disclaimer

This content has been prepared by Crunchbase, Inc. (“Crunchbase”) for general informational purposes only. The information contained herein, including the outputs of the Crunchbase Exit Prediction Model (the “Model”), is not intended to be, and should not be construed as, financial, legal, investment, or other professional advice.

The Model generates predictions using automated machine learning systems and statistical analysis. Model outputs reflect probabilistic assessments and are not the product of individual human judgment or analysis. Model performance metrics presented herein reflect historical results evaluated against historical data and do not guarantee future performance. Actual results may vary materially from predictions due to changes in market conditions, data availability, model updates, or other factors.

In preparing this document, Crunchbase has assumed the accuracy and completeness of publicly available information and of other information made available to Crunchbase by third parties. Crunchbase has not conducted any independent investigation or verification of such information. No representation or warranty, express or implied, is made as to the accuracy, completeness, or reliability of such information, and nothing contained herein is, or shall be relied upon as, a representation, whether as to the past, the present, or the future. The information provided herein is not a recommendation to purchase, hold, or sell any particular security, nor does it constitute an offer or solicitation of any kind.

Crunchbase reserves the right to modify, retrain, or discontinue any prediction model at any time without notice. Crunchbase assumes no responsibility for updating or revising these materials. To the fullest extent permitted by applicable law, Crunchbase shall not be liable for any damages, losses, or costs arising from or in connection with any use of or reliance on this document or any Model outputs, whether in contract, tort (including negligence), or otherwise. Crunchbase shall have no duties or obligations to any recipient of these materials.

The information contained herein is proprietary to Crunchbase. Any systematic reproduction or commercial redistribution without the prior written consent of Crunchbase is prohibited.

© 2026 Crunchbase, Inc. All Rights Reserved.