WorkLife Ventures

San Francisco, United States
Venture Capital
Active
Total investments

49

Average round size

11M

Portfolio companies

36

Rounds per year

9.80

Lead investments

1

Follow on index

0.27

Areas of investment
SoftwareFinancial ServicesFinTechAnalyticsInformation TechnologyPaymentsSaaSAppsDeveloper APIsData Visualization

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistDeveloper ToolsMedia/ContentFintechFuture of Work Show 10 more
Stage focus
GeneralistSeries ASeries B
Geo focus
Generalist
Check size
2M

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Investments analytics

Last fund

Fund size
USD 35000000
Fund raised date
2022-04-25

Analytics

Total investments
49
Lead investments
1
Rounds per year
9.80
Follow on index
0.27
Investments by industry
  • Software (27)
  • Financial Services (11)
  • FinTech (11)
  • Information Technology (6)
  • Apps (6)
  • Show 73 more
Investments by region
  • United States (46)
  • Norway (1)
  • Canada (1)
  • United Kingdom (1)
Peak activity year
2020
Number of Unicorns
4
Number of Decacorns
5
Number of Minotaurs
2

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Quantitative data

Avg. startup age at the time of investment
4
Avg. valuation at time of investment
782M
Group Appearance index
0.67
Strategy success index
0.90

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Alinea25 Jan 2024Financial Services, FinTech, Finance, CommunitiesSeed3MUnited States, New York, New York
Atomation09 Jun 2014Logistics, Internet of Things, Industrial Automation, Electrical DistributionSeed900KUnited States, Missouri, City of Saint Louis
Octovan01 Feb 2020Logistics, E-Commerce, Internet, Professional Services, Service Industry, Home ServicesSeed132KIstanbul, Istanbul, Turkey
Via24 May 2021Automotive, E-Commerce, Internet, Transportation, Information Technology, Mobile Apps, Real Time, Travel, Ride SharingEarly Stage Venture15MUnited States, California, San Jose
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.