Trending...
- ResC4EU Final Event at KOMPOZYT-EXPO 2026 – Building Resilient European Supply Chains
- CinderLabs Launches AI Agent Marketplace: Nine Pre-Built Agents for Regulated Industries
- Harvard Educated Board Certified Endodontist Joins Pearlfection Dentistry
SEATTLE, March 20, 2023 ~ PitchBook, a leading data provider for the private and public equity markets, has released its VC Exit Predictor, a new tool and scoring methodology that objectively assesses a startup's prospect of a successful exit. The tool leverages machine learning and PitchBook's database of information on VC companies, financing rounds and investors.
The primary component underpinning the tool is a classification model developed by PitchBook's Institutional Research Group that predicts the probability a VC-backed startup will ultimately be acquired, go public, or not exit due to failure or becoming self-sustaining. The release comes at a time when the liquidity available for VC-backed exits has fallen sharply in recent quarters, and the outlook for improvement remains bleak.
The new tool empowers investors and founders to prioritize and advocate for the right opportunities, while streamlining decision-making and due diligence processes. For a company to have an exit prediction, it must be currently VC-backed with at least two rounds of venture financing. The tool uses PitchBook's robust dataset to generate exit predictions and the following areas are examples of data points leveraged: company details such as patents, industry, employee count, news coverage, number of acquisitions; deal activity such as maturity, fundraising frequency, average deal size; active investors such as investor track record, number of crossover investors and number of investors.
More on Washingtoner
After training the model on 46,000 observations from startups with known outcomes, PitchBook tested the algorithm on more than 11,000 out-of-sample observations and accurately predicted success (M&A and IPO) versus no exit outcomes at a rate of 75%. McKinley McGinn Product Manager at PitchBook said "In the last 10 years an influx of capital and institutional investor interest has led to an explosion in the number of VC-backed companies which has made sifting through the data to identify investment opportunities more challenging and time consuming. With PitchBook's VC Exit Predictor investors will be able to understand a company's trajectory better and engage in a more rigorous decision making process by eliminating biases and improving how they evaluate risks associated to investments. Users can digest a large sum of data on these companies in much faster timeframe enabling smarter dealmaking"
PitchBook's Institutional Research Group published Gaining an Edge in VC Investment Selection alongside today's launch which delves into how PitchBook's VC Exit Predictor can be used to improve investment selection process. To mitigate affects from depressed exit environment this tool is expected to help maximize shareholder value while decreasing demand for new fundraising by providing liquidity for VC backed exits.
The primary component underpinning the tool is a classification model developed by PitchBook's Institutional Research Group that predicts the probability a VC-backed startup will ultimately be acquired, go public, or not exit due to failure or becoming self-sustaining. The release comes at a time when the liquidity available for VC-backed exits has fallen sharply in recent quarters, and the outlook for improvement remains bleak.
The new tool empowers investors and founders to prioritize and advocate for the right opportunities, while streamlining decision-making and due diligence processes. For a company to have an exit prediction, it must be currently VC-backed with at least two rounds of venture financing. The tool uses PitchBook's robust dataset to generate exit predictions and the following areas are examples of data points leveraged: company details such as patents, industry, employee count, news coverage, number of acquisitions; deal activity such as maturity, fundraising frequency, average deal size; active investors such as investor track record, number of crossover investors and number of investors.
More on Washingtoner
- Spokane: District 1 Council Members to Host Townhall
- Spokane: City and County Offer Adopt-A-Drain Program
- City of Tacoma's Proposed Biennial Budget Focuses on Everyday Services and Fiscal Sustainability
- NEW Three Fully Furnished Single-Family Model Homes at Heritage at South Brunswick
- After 35 Years, Christian Radio Host Marina Maria Publishes the Novel She Never Forgot
After training the model on 46,000 observations from startups with known outcomes, PitchBook tested the algorithm on more than 11,000 out-of-sample observations and accurately predicted success (M&A and IPO) versus no exit outcomes at a rate of 75%. McKinley McGinn Product Manager at PitchBook said "In the last 10 years an influx of capital and institutional investor interest has led to an explosion in the number of VC-backed companies which has made sifting through the data to identify investment opportunities more challenging and time consuming. With PitchBook's VC Exit Predictor investors will be able to understand a company's trajectory better and engage in a more rigorous decision making process by eliminating biases and improving how they evaluate risks associated to investments. Users can digest a large sum of data on these companies in much faster timeframe enabling smarter dealmaking"
PitchBook's Institutional Research Group published Gaining an Edge in VC Investment Selection alongside today's launch which delves into how PitchBook's VC Exit Predictor can be used to improve investment selection process. To mitigate affects from depressed exit environment this tool is expected to help maximize shareholder value while decreasing demand for new fundraising by providing liquidity for VC backed exits.
0 Comments
Latest on Washingtoner
- Hunter Is Releasing New Music For The Holidays!
- Tixpool.com - Naija Premier Event Reseller
- Work 365 Expands Distributor Integrations with Companial for Microsoft Partners
- Guardian Data Opens 42,000-Square-Foot Moonachie Facility, Doubling New Jersey Capacity
- Spokane: Indigenous Peoples' Day Is Oct. 12
- SecureMaine 2026 is Here -- Thursday October 8th!
- Tacoma: Homicide Investigation – 800 Pacific Avenue
- HW Foundation Opens Nominations for Inaugural 50 Under 50 in AI; Deadline Oct. 16
- Pavillon 30 Years of Addiction Recovery in Western North Carolina, Earns National Accreditation
- Safer Spokane
- Spokane: Special Investigation Unit Seized Large Amounts of Cash and Cocaine
- Spokane: U.S. Conference of Mayors, American Beverage Foundation Visit Youth Wellness Zone
- Spokane: Disabled Smoke Alarm Contributes to Fatal Tiki Lodge Fire
- Spokane Police Investigate Fatal Fire With Fire Department
- Spokane: SPD and SFD Respond to Early Morning Fire in Downtown Apartments
- City To Simplify Services by Routing Non-Emergency Police, Fire Calls through Spokane 311
- ResC4EU Final Event at KOMPOZYT-EXPO 2026 – Building Resilient European Supply Chains
- Tacoma: Update Fourth Homicide Arrest – 2100 block of N 30th St
- City of Tacoma Invites Community Members to Share Their Experience Crossing I-5
- Statement from Tacoma Chief of Police Patti Jackson on Understanding the Office of Independent Investigations (OII)