Purpose
Workforce reductions are often one of the earliest public indicators that a company's trajectory is changing. Predicting which companies are likely — or unlikely — to experience layoffs helps organizations distinguish emerging business risk from organizational stability. Using this model helps organizations anticipate market shifts and make more informed strategic decisions.
Crunchbase’s Layoff Prediction Model (the “Model”) predicts whether a private company is likely to experience a layoff event in the next six months by combining proprietary private company data, AI-powered company insights, and real-time market signals. Each layoff prediction provides a probability score and supporting contextual events, and can be fed into internal tools and processes, to help organizations identify emerging business risk, monitor changing company health, and respond earlier to potential instability.
What the Model Evaluates
Crunchbase’s Layoff Prediction Model evaluates 237 features across eight key categories to generate reliable forecasts of near-term future layoff events.
The Model evaluates signals across the following categories:
Company Firmographics
Market and Industry Context
Company Growth Signals
Historical Business Performance
Business Activity Signals
Proprietary Crunchbase Engagement Data
News Insights
Peer Benchmarking
These categories bring together proprietary and market-driven signals to build a more complete view of company health and organizational stability. Some signals capture rapid, day-to-day changes, while others reflect longer-term business trends — creating a more complete picture of organizational risk.
Each prediction includes a probability score and supporting contextual events, helping organizations distinguish companies showing early signs of workforce risk from those exhibiting greater organizational stability, and make more informed strategic decisions.
What Powers the Model
The Layoff Prediction Model is trained using Crunchbase's proprietary private company data together with AI-generated company insights derived from news and market activity. Because workforce reductions are frequently underreported — particularly among private and early-stage companies — the model is designed to identify the business conditions that often precede organizational change.
To build that broader view, Crunchbase combines information from company websites, government filings, trusted news sources, strategic partnerships, direct contributors, and proprietary engagement data. Together, these sources provide the context needed to assess organizational health by capturing both emerging business changes and longer-term company trends.
This broader data foundation provides greater visibility into organizational health, enabling the model to identify business conditions to predict the likelihood of future workforce reductions.
Model Performance
Workforce reductions are among the most difficult private company events to predict because layoffs frequently emerge gradually and are often underreported, particularly among private and early-stage companies. The following precision and recall metrics demonstrate the model's performance in identifying future layoff events.
| Precision* | Recall^ | |
| No Layoff | 0.96 | 0.99 |
| Layoff | 0.66 | 0.28 |
*Precision: Of the companies predicted to experience a layoff, how many actually did.
^Recall: Of the companies that actually experienced a layoff, how many the model identified.
The model performs particularly well in identifying companies unlikely to experience layoffs, helping distinguish organizations exhibiting greater stability from those showing early indicators of workforce change. Even where workforce reductions are not yet publicly visible, the model identifies signals that may precede future layoff events.
These results demonstrate the Layoff Prediction Model's ability to provide earlier visibility into changing workforce conditions. By helping organizations distinguish companies exhibiting early signs of workforce reductions from those showing greater organizational stability, Layoff Predictions support investment decisions, portfolio monitoring, partner evaluation, and due diligence before workforce changes become widely apparent.
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 Layoff 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.
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