Liquid2 Ventures

Type

Venture Capital

Status

Active

Location

San Francisco, United States

Total investments

455

Average round size

6M

Portfolio companies

360

Rounds per year

50.56

Lead investments

4

Follow on index

0.19

Exits

11

Stages of investment
SeedEarly Stage Venture
Areas of investment
E-CommerceInternetSoftwareFinancial ServicesFinTechInformation TechnologyArtificial IntelligenceMachine LearningHealth CareSaaS

Summary

Liquid 2 Ventures appeared to be the VC, which was created in 2015. The company was established in North America in United States. The main office of represented VC is situated in the San Francisco.

When the investment is from Liquid 2 Ventures the average startup value is 5-10 millions dollars. The higher amount of exits for fund were in 2018. This Liquid 2 Ventures works on 24 percentage points less the average amount of lead investments comparing to the other organizations. The fund is constantly included in 25-48 investment rounds annually. Speaking about the real fund results, this VC is 17 percentage points less often commits exit comparing to other organizations. The common things for fund are deals in the range of 1 - 5 millions dollars. The high activity for fund was in 2017. Despite it in 2019 the fund had an activity.

The typical case for the fund is to invest in rounds with 7-8 participants. Despite the Liquid 2 Ventures, startups are often financed by FundersClub, Kevin Moore, First Round Capital. The meaningful sponsors for the fund in investment in the same round are Wei Guo, FundersClub, Founders Fund. In the next rounds fund is usually obtained by Soma Capital, Signia Venture Partners, Refactor Capital.

Besides them, we counted 4 critical employees of this fund in our database.

For fund there is a match between the location of its establishment and the land of its numerous investments - United States. Among the most successful fund investment fields, there are Blockchain, E-Commerce. Among the most popular portfolio startups of the fund, we may highlight Solugen, Grin Scooters, Atrium LTS. Moreover, a startup needs to be at the age of 1 and less years to get the investment from the fund. The fund has exact preference in some founders of portfolio startups. When startup sums 5+ of the founder, the probability for it to get the investment is little.

Show more

Investor highlights

Stage focus
Pre-SeedSeed
Geo focus
Generalist
Check size
250K — 5M

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Last fund

Fund size
USD 80000000
Fund raised date
2022-02-25

Analytics

Total investments
455
Lead investments
4
Exits
11
Rounds per year
50.56
Follow on index
0.19
Investments by industry
  • Software (132)
  • Information Technology (49)
  • Health Care (47)
  • Internet (45)
  • FinTech (43)
  • Show 333 more
Investments by region
  • United States (351)
  • Mexico (22)
  • Canada (11)
  • United Arab Emirates (1)
  • Switzerland (1)
  • Show 16 more
Peak activity year
2021
Number of Unicorns
11
Number of Decacorns
11
Number of Minotaurs
1

Discover reliable insights

Leverage validated data, identify key contacts and secure funding opportunities for your business.

Quantitative data

Avg. startup age at the time of investment
5
Avg. valuation at time of investment
100M
Group Appearance index
0.98
Avg. company exit year
3
Avg. multiplicator
12.72
Strategy success index
1.00

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company name Deal date Industry Deal stage Deal size Location
Giga ML 23 Oct 2023 Software Seed 3M United States, California, San Francisco
Tenderd 11 Jun 2024 Construction, Machinery Manufacturing Early Stage Venture 30M United Arab Emirates, Dubai, United Arab Emirates
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.