Bee Partners

Type

Venture Capital

Status

Active

Location

San Francisco, United States

Total investments

121

Average round size

8M

Portfolio companies

72

Rounds per year

7.56

Lead investments

7

Follow on index

0.40

Exits

8

Stages of investment
SeedEarly Stage Venture
Areas of investment
E-CommerceSoftwareInformation TechnologyMobileArtificial IntelligenceMachine LearningHealth CareSaaSRoboticsTravel

Summary

Bee Partners appeared to be the VC, which was created in 2008. The main department of described VC is located in the San Francisco. The company was established in North America in United States.

Among the various public portfolio startups of the fund, we may underline Indiegogo, Tradesy, Breezy Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. We can highlight the next thriving fund investment areas, such as Social Media, Internet. 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. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States.

The fund was created by Michael Berolzheimer. Besides them, we counted 2 critical employees of this fund in our database.

The increased amount of exits for fund were in 2018. This Bee Partners works on 20 percentage points less the average amount of lead investments comparing to the other organizations. The real fund results show that this VC is 13 percentage points less often commits exit comparing to other companies. The common things for fund are deals in the range of 5 - 10 millions dollars. The important activity for fund was in 2016. Despite it in 2019 the fund had an activity. The average startup value when the investment from Bee Partners is 10-50 millions dollars. The fund is generally included in 2-6 deals every year.

The usual cause for the fund is to invest in rounds with 5-6 partakers. Despite the Bee Partners, startups are often financed by 500 Startups, Y Combinator, Nimble Ventures. The meaningful sponsors for the fund in investment in the same round are Canaan Partners, Lightbank, Hedgewood. In the next rounds fund is usually obtained by Kleiner Perkins, ff Venture Capital, Y Combinator.

Show more

Investor highlights

Industry focus
AI/Big DataHardwareB2B/EnterpriseDeep TechRobotics Show 1 more
Stage focus
Pre-Seed
Geo focus
CanadaUnited States
Check size
500K — 2M

Discover reliable insights

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

Investments analytics

Last fund

Fund size
USD 50000000
Fund raised date
2023-11-01

Analytics

Total investments
121
Lead investments
7
Exits
8
Rounds per year
7.56
Follow on index
0.40
Investments by industry
  • Software (35)
  • E-Commerce (24)
  • Artificial Intelligence (23)
  • Machine Learning (17)
  • Information Technology (14)
  • Show 139 more
Investments by region
  • United States (113)
  • Canada (7)
Peak activity year
2021

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
8
Avg. valuation at time of investment
13M
Group Appearance index
0.84
Avg. company exit year
5
Avg. multiplicator
2.08
Strategy success index
0.20

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
Circe 15 May 2024 Food Processing, Agriculture, Farming Seed 8M United States, Massachusetts, Boston
StatMuse 03 Jun 2015 Artificial Intelligence, Sports, Media and Entertainment Seed 120K United States, California, San Francisco
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.