Upfront Ventures

Type

Venture Capital

Status

Active

Location

Santa Monica, United States

Total investments

416

Average round size

14M

Portfolio companies

217

Rounds per year

14.86

Lead investments

79

Follow on index

0.48

Exits

65

Stages of investment
SeedPrivate EquityEarly Stage VentureLate Stage Venture
Areas of investment
E-CommerceInternetSoftwareAnalyticsInformation TechnologyMobileHealth CareSaaSEnterprise SoftwareAdvertising

Summary

Upfront Ventures is the famous VC, which was founded in 1996. The venture was found in North America in United States. The leading representative office of defined VC is situated in the Santa Monica.

The usual cause for the fund is to invest in rounds with 4-5 partakers. Despite the Upfront Ventures, startups are often financed by Andreessen Horowitz, Accel, SV Angel. The meaningful sponsors for the fund in investment in the same round are FirstMark, Collaborative Fund, SV Angel. In the next rounds fund is usually obtained by Rincon Venture Partners, Matrix Partners, Andreessen Horowitz.

The fund was created by Steve Lebow, Steven Dietz, Yves Sisteron. Besides them, we counted 10 critical employees of this fund in our database.

The important activity for fund was in 2018. Despite it in 2019 the fund had an activity. The increased amount of exits for fund were in 2018. This Upfront Ventures works on 12 percentage points less the average amount of lead investments comparing to the other organizations. The real fund results show that this VC is 14 percentage points more often commits exit comparing to other companies. The average startup value when the investment from Upfront Ventures is 100-500 millions dollars. The fund is generally included in 7-12 deals every year. The usual things for fund are deals in the range of 10 - 50 millions dollars.

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. Among the most successful fund investment fields, there are Retail, SaaS. For fund there is a match between the location of its establishment and the land of its numerous investments - United States. Besides, a startup needs to be aged 2-3 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Dealertrack, Bird Rides, Fair.

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Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Stage focus
Seed
Geo focus
AlbaniaAustriaBelgiumBosnia and HerzegovinaBulgaria Show 39 more
Check size
500K — 10M

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Investments analytics

Last fund

Fund size
USD 650000000
Fund raised date
2022-08-26

Analytics

Total investments
416
Lead investments
79
Exits
65
Rounds per year
14.86
Follow on index
0.48
Investments by industry
  • Software (82)
  • E-Commerce (75)
  • Internet (59)
  • Health Care (51)
  • Information Technology (48)
  • Show 285 more
Investments by region
  • United States (379)
  • France (8)
  • United Kingdom (9)
  • Gibraltar (1)
  • Australia (1)
  • Show 2 more
Peak activity year
2018
Number of Unicorns
11
Number of Decacorns
11
Number of Minotaurs
4

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Quantitative data

Avg. startup age at the time of investment
11
Avg. valuation at time of investment
204M
Group Appearance index
0.88
Avg. company exit year
7
Avg. multiplicator
7.38
Strategy success index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Apex Space 12 Jun 2024 Commercial, Aerospace, Manufacturing Early Stage Venture 95M United States, California, Los Angeles
Path 28 Jan 2022 Information Technology, Health Care, Wellness, Enterprise Software, Personal Health, Employee Benefits Early Stage Venture 88M United States, California, Los Angeles

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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.