Fusion Fund

Type

Venture Capital

Status

Active

Location

Palo Alto, United States

Total investments

111

Average round size

7M

Portfolio companies

77

Rounds per year

12.33

Lead investments

10

Follow on index

0.30

Exits

5

Stages of investment
SeedEarly Stage Venture
Areas of investment
InternetSoftwareAnalyticsInformation TechnologyMobileArtificial IntelligenceMachine LearningHealth CareBig DataMedical

Summary

Fusion Fund appeared to be the VC, which was created in 2015. The fund was located in North America if to be more exact in United States. The main department of described VC is located in the Palo Alto.

The higher amount of exits for fund were in 2011. The real fund results show that this VC is 15 percentage points less often commits exit comparing to other companies. Comparing to the other companies, this Fusion Fund performs on 22 percentage points less the average number of lead investments. The top activity for fund was in 2015. Despite it in 2019 the fund had an activity. The fund is generally included in 7-12 deals every year. The usual things for fund are deals in the range of 5 - 10 millions dollars. The average startup value when the investment from Fusion Fund is 10-50 millions dollars.

For fund there is a match between the location of its establishment and the land of its numerous investments - United States. The fund has exact preference in some founders of portfolio startups. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Stratifyd, GrubMarket, Mojo Vision. Among the most popular fund investment industries, there are Software, Mobile.

The usual cause for the fund is to invest in rounds with 4-5 partakers. Despite the Fusion Fund, startups are often financed by Y Combinator, Great Oaks Venture Capital, TSVC. The meaningful sponsors for the fund in investment in the same round are Y Combinator, Wei Guo, Social Starts. In the next rounds fund is usually obtained by Social Starts, GGV Capital, Great Oaks Venture Capital.

The current fund was established by Lu Zhang. We also calculated 4 valuable employees in our database.

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Investor highlights

Industry focus
HealthcareAI/Big DataAerospace
Stage focus
Series APre-SeedSeed
Geo focus
CanadaUnited States
Check size
100K — 1M

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Investments analytics

Last fund

Fund size
USD 120000000
Fund raised date
2021-11-01

Analytics

Total investments
111
Lead investments
10
Exits
5
Rounds per year
12.33
Follow on index
0.30
Investments by industry
  • Software (41)
  • Artificial Intelligence (37)
  • Health Care (21)
  • Machine Learning (20)
  • Information Technology (18)
  • Show 132 more
Investments by region
  • United States (101)
  • Israel (2)
  • Australia (1)
  • Norway (2)
  • Canada (2)
Peak activity year
2015
Number of Unicorns
2
Number of Decacorns
2

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Quantitative data

Avg. startup age at the time of investment
7
Avg. valuation at time of investment
62M
Group Appearance index
0.82
Avg. company exit year
6
Strategy success index
0.30

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Nexusflow 28 Sep 2023 Artificial Intelligence, Cyber Security Seed 10M United States, California, Palo Alto
Subtle Medical 13 May 2024 Software, Artificial Intelligence, Machine Learning, Health Care, Health Diagnostics, Medical Early Stage Venture 10M United States, California

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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.