Trending...
- Project Pretzel Introduces a New System for Running Renovation Projects with Built In Contracts and Real Time Execution
- CCHR Says New OIG Report Raises Concerns about Drugging Elderly with Antipsychotics
- Spokane: Abor Day Celebration 2026
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
- Tacoma: Homicide Investigation – 400 block of S J St
- Spokane police investigate a stabbing in the area of Thorpe & Westwood
- City of Tacoma Modernizes Access to Municipal Code Online
- Karen D. Gentry Announces New Book Focused on Relationships and Personal Growth
- New plusOne Research Finds the Orgasm Gap Is a 30-Point Chasm — and Confirms It Isn't Biology
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
- 5 Things NYC Courier Services Won't Tell You About How Same-Day Delivery Actually Works
- Spokane City Council Votes in Support of Moving Forward the STA Ballot Initiative
- Tropidelic Links Up With International Reggae Star Collie Buddz and Eli Mac for Feel-Good Breakthrough Single "Follow Your Nature"
- Save 15 Percent on Florida Keys Accommodations with KeysCaribbean's 'Advance Purchase Rate Discount'
- Atelier 411 Studios and Columbus Fashion Council Present Red Carpet Experience at Gateway Film Center for The Devil Wears Prada 2
- Hazel E Celebrates Birthday with Luxury "Goddess" Yacht Experience in Marina del Rey
- Joseph Neibich sits down with Bold Jounrey (aka Joseph Nybyk)
- AI Suite 360 Launches Done-For-You AI Implementation to Rescue SMBs from the "Frankenstein Tax"
- Spokane: Mayor Brown Reestablishes City Arts Office, Names New Manager to Lead Effort
- CX Network Releases Report on the Best AI Support Tools for SaaS Companies 2026
- Outlier Pest Season Hits Willamette Valley as Mild Winter Drives Early Surge in Ant and Rodent Activity
- Lokal Media House Wins Web Excellence Award for Black Plumbing Redesign
- Lick Expands Flavored Massage Oil Collection with 10 New Indulgent Cream-Inspired Scents
- New Research Identifies "Vacation Compatibility Gap" as the Hidden Force Shrinking How Long and With Whom Americans Travel
- Melospeech Inc. Awarded New NYSDOH BEI Contract in New York
- Five-star Review for Berklee School of Music Textbook
- One Phone Call Is All It Takes to Lose a New Dental Patient — Here Is Why
- Spokane: Wildfire Evacuation Drill Planned for Latah/Hangman Neighborhood
- Spokane Police Make An Arrest After An Alert City Employee Calls In A Stolen Vehicle Driving Recklessly
- Advanced TeleSensors Appoints AgeTech Innovator Tiffany Wey, MBA as Vice President of Sales & Marketing