Trending...
- Ice Melts. Infrastructure Fails. What Happens to Clean Water?
- The Legal AI Showdown: Westlaw, Lexis, ChatGPT… or EvenSteven?
- François Arnaud, star of Heated Rivalry, is the real-life inspiration behind Christopher Stoddard's novel At Night Only
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
- Firefighters Contain Two Separate West Spokane Fires Thursday Afternoon
- Tacoma: WIAA/Gesa Credit Union Basketball Tournament
- Amicly Launches as a Safety-First Social App Designed to Help People Build Real, Meaningful Friendships
- Primeindexer Google indexing platform launched by SEO Danmark APS
- Kaltra Introduces New Downward-Spraying Distribution Technology to Boost Microchannel Evaporator Performance
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
- Spokane: The Creek at Qualchan and Esmeralda Golf Courses Open March 2, 2026
- Lineus Medical's SafeBreak® Vascular Added to Alliant GPO Contract
- Cancun All Inclusive is ready for Spring Break 2026 with new Resorts, Exclusive Deals, activities and more!
- 66% of US Bankruptcies Are Medical — So Americans Are Building Businesses That Cover Healthcare Emergencies
- Ludex Partners With Certified Trading Card Association (CTCA) To Elevate Standards And Innovation In The Trading Card Industry
- Best Book Publishing Company for Aspiring Authors
- Dr. Nadene Rose Releases Moving Memoir on Faith, Grief, and Divine Presence
- Tacoma: City Council Confirms Appointment of Toni Esparza as Neighborhood & Community Services Director
- Gigasoft Solves AI's Biggest Charting Code Problem: Hallucinated Property Names
- Spokane Police Officers Involved In A Use Of Deadly Force In The 1800 Block Of West Carlisle Avenue
- ASTI Ignites the Space Economy: Powering SpaceX's NOVI AI Pathfinder with Breakthrough Solar Technology: Ascent Solar Technologies (N A S D A Q: ASTI)
- Hiring has reached a "Digital Stalemate"—Now, an ex-Google recruiter is giving candidates the answers
- 2026 Pre-Season Testing Confirms a Two-Tier Grid as Energy Management Defines Formula 1's New Era
- Platinum Car Audio LLC Focuses on Customer-Driven Vehicle Audio and Electronics Solutions
- Postmortem Pathology Expands Independent Autopsy Services in Kansas City
- Postmortem Pathology Expands Independent Autopsy Services Across Colorado
- $38 Million in U.S. Government Contract Awards Secured Through Strategic Partner. Establishing Multi-Year Defense Revenue Platform Through 2032: $BLIS
- Mecpow M1: A Safe & Affordable Laser Engraver Built for Home DIY Beginners
- CrashStory.com Launches First Colorado Crash Data Platform Built for Victims, Not Lawyers
- Tacoma: City Council Approves System Development Charges for Wastewater and Stormwater Utilities