Work-Bench

Type

Venture Capital

Status

Active

Location

New York, United States

Total investments

74

Average round size

19M

Portfolio companies

44

Rounds per year

6.73

Lead investments

6

Follow on index

0.41

Exits

10

Stages of investment
SeedEarly Stage VentureLate Stage Venture
Areas of investment
SoftwareAnalyticsInformation TechnologyArtificial IntelligenceMachine LearningSaaSEnterprise SoftwareCyber SecuritySecurityCloud Computing

Summary

Work-Bench is the famous VC, which was founded in 2013. The fund was located in North America if to be more exact in United States. The leading representative office of defined VC is situated in the New York.

This organization was formed by Hugo Van Vuuren, Jessica Lin, Jonathan Lehr, Tom Carroll. Besides them, we counted 4 critical employees of this fund in our database.

The usual things for fund are deals in the range of 10 - 50 millions dollars. The real fund results show that this VC is 12 percentage points less often commits exit comparing to other companies. The top amount of exits for fund were in 2018. The fund is constantly included in 2-6 investment rounds annually. When the investment is from Work-Bench the average startup value is 50-100 millions dollars. This Work-Bench works on 9 percentage points less the average amount of lead investments comparing to the other organizations. The important activity for fund was in 2019.

The standard case for the fund is to invest in rounds with 5-6 partakers. Despite the Work-Bench, startups are often financed by GV, ff Venture Capital, Madrona Venture Group. The meaningful sponsors for the fund in investment in the same round are GV, Two Sigma Ventures, New Enterprise Associates. In the next rounds fund is usually obtained by Two Sigma Ventures, New Enterprise Associates, GV.

The fund has no exact preference in a number of founders of portfolio startups. When startup sums 5+ of the founder, the probability for it to get the investment is little. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Versive, Tamr, Cockroach Labs. Among the most successful fund investment fields, there are Artificial Intelligence, Machine Learning. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States.

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Investor highlights

Industry focus
AI/Big DataCloud/InfrastructureDeveloper ToolsCybersecurityB2B/Enterprise
Stage focus
Seed
Geo focus
United States
Check size
3M — 10M

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Investments analytics

Last fund

Fund size
USD 100000000
Fund raised date
2021-08-04

Analytics

Total investments
74
Lead investments
6
Exits
10
Rounds per year
6.73
Follow on index
0.41
Investments by industry
  • Software (52)
  • Machine Learning (23)
  • SaaS (21)
  • Artificial Intelligence (19)
  • Analytics (18)
  • Show 72 more
Investments by region
  • United States (71)
  • Israel (1)
  • Australia (1)
Peak activity year
2021
Number of Unicorns
5
Number of Decacorns
5

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Quantitative data

Avg. startup age at the time of investment
7
Avg. valuation at time of investment
361M
Group Appearance index
0.92
Avg. company exit year
8
Avg. multiplicator
1.11
Strategy success index
0.90

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Pace 24 Aug 2022 Software Seed 5M United States, New York, New York
RippleMatch 20 Apr 2021 Software, Human Resources, Recruiting, Enterprise Software, Delivery, Education, Consulting, Employment Early Stage Venture 23M United States, New York, New York

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How we get our data

At Unicorn Nest, we combine cutting-edge technology with human expertise to build one of the most reliable venture capital databases in the market. Our process begins with automated AI-enhanced data collection, leveraging the full potential of Large Language Models (LLMs).

Later, our team of analysts takes it further with manual verification, using proprietary tools for data cleaning and validation to ensure accuracy and reliability. We cross-check and enhance our findings through press and media monitoring, integrating information from trusted news outlets and venture capital aggregators. Finally, we stay ahead of the curve by monitoring social networks like LinkedIn and X.com.