Aspect Ventures

Type

Venture Capital

Status

Active

Location

Palo Alto, United States

Total investments

117

Average round size

20M

Portfolio companies

68

Rounds per year

13.00

Lead investments

14

Follow on index

0.40

Exits

13

Stages of investment
Early Stage Venture
Areas of investment
InternetSoftwareFinancial ServicesFinTechInformation TechnologyArtificial IntelligenceHealth CareSaaSBig DataCyber Security

Summary

In 2014 was created Aspect Ventures, which is appeared as VC. The main office of represented VC is situated in the Palo Alto. The company was established in North America in United States.

This organization was formed by Jennifer Fonstad, Theresia Gouw. The overall number of key employees were 6.

Among the most successful fund investment fields, there are Information Technology, FinTech. 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. The fund has no specific favorite 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 various public portfolio startups of the fund, we may underline Trulia, DFINITY, Chime

The top amount of exits for fund were in 2019. Opposing the other organizations, this Aspect Ventures works on 21 percentage points less the average amount of lead investments. The top activity for fund was in 2017. The real fund results show that this VC is 2 percentage points less often commits exit comparing to other companies. The usual things for fund are deals in the range of 10 - 50 millions dollars. The average startup value when the investment from Aspect Ventures is 500 millions - 1 billion dollars. The fund is constantly included in 2-6 deals per year.

The typical case for the fund is to invest in rounds with 7-8 participants. Despite the Aspect Ventures, startups are often financed by Shlomo Kramer, Khosla Ventures, Norwest Venture Partners. The meaningful sponsors for the fund in investment in the same round are First Round Capital, Shlomo Kramer, Salesforce Ventures. In the next rounds fund is usually obtained by Accel, Shlomo Kramer, Icon Ventures.

Show more

Investor highlights

Industry focus
B2B/EnterpriseConsumer/RetailHealthcare
Stage focus
SeedSeries A

Discover reliable insights

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

Investments analytics

Last fund

Fund size
USD 181000000
Fund raised date
2018-01-23

Analytics

Total investments
117
Lead investments
14
Exits
13
Rounds per year
13.00
Follow on index
0.40
Investments by industry
  • Software (36)
  • Internet (24)
  • FinTech (24)
  • Big Data (21)
  • Information Technology (19)
  • Show 133 more
Investments by region
  • United States (100)
  • Israel (8)
  • New Zealand (2)
  • Mexico (1)
  • United Kingdom (1)
  • Show 1 more
Peak activity year
2018
Number of Unicorns
2
Number of Decacorns
4
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
7
Avg. valuation at time of investment
643M
Group Appearance index
0.99
Avg. company exit year
5
Avg. multiplicator
6.35
Strategy success index
0.80

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
Balena 24 Jul 2019 Software, PaaS, Internet of Things, Open Source Early Stage Venture 14M United States, Washington, Seattle
Writer 18 Sep 2023 Artificial Intelligence Early Stage Venture 100M United States, California, San Francisco

Similar funds

By same location

By same geo focus

By doing lead investments

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.