Illuminate Ventures

Type

Venture Capital

Status

Active

Location

Oakland, United States

Total investments

66

Average round size

16M

Portfolio companies

33

Rounds per year

4.40

Lead investments

12

Follow on index

0.48

Exits

9

Stages of investment
SeedEarly Stage Venture
Areas of investment
SoftwareAnalyticsInformation TechnologySalesArtificial IntelligenceMachine LearningSaaSEnterprise SoftwareBig DataContent

Summary

In 2009 was created Illuminate Ventures, which is appeared as VC. The main office of represented VC is situated in the Oakland. The venture was found in North America in United States.

The current fund was established by Cindy Padnos. We also calculated 2 valuable employees in our database.

Opposing the other organizations, this Illuminate Ventures works on 14 percentage points less the average amount of lead investments. The fund is constantly included in 2-6 deals per year. Deals in the range of 10 - 50 millions dollars are the general things for fund. The average startup value when the investment from Illuminate Ventures is more than 1 billion dollars. The increased amount of exits for fund were in 2015. The high activity for fund was in 2014. Despite it in 2019 the fund had an activity. The real fund results show that this VC is 7 percentage points more often commits exit comparing to other companies.

The standard case for the fund is to invest in rounds with 4-5 partakers. Despite the Illuminate Ventures, startups are often financed by Rembrandt Venture Partners, Bay Partners, Altos Ventures. The meaningful sponsors for the fund in investment in the same round are Altos Ventures, Morado Ventures, Webb Investment Network. In the next rounds fund is usually obtained by Rembrandt Venture Partners, Altos Ventures, Relay Ventures.

For fund there is a match between the location of its establishment and the land of its numerous investments - United States. The fund has no specific favorite in a number of founders of portfolio startups. When startup sums 4 or 5+ of the founder, the probability for it to get the investment is little. Among the most popular portfolio startups of the fund, we may highlight Coupang, CafeX Communications, Influitive. Besides, a startup needs to be aged 2-3 years to get the investment from the fund. Among the most popular fund investment industries, there are Real Time, Analytics.

Show more

Investor highlights

Industry focus
B2B/EnterpriseCloud/InfrastructureConsumer/RetailAI/Big DataMobility Show 3 more
Stage focus
Seed

Discover reliable insights

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

Investments analytics

Last fund

Fund size
USD 235000000
Fund raised date
2023-06-20

Analytics

Total investments
66
Lead investments
12
Exits
9
Rounds per year
4.40
Follow on index
0.48
Investments by industry
  • Software (23)
  • Analytics (22)
  • SaaS (22)
  • Enterprise Software (13)
  • Artificial Intelligence (11)
  • Show 71 more
Investments by region
  • United States (55)
  • South Korea (2)
  • Canada (8)
  • Germany (1)
Peak activity year
2014
Number of Unicorns
1
Number of Decacorns
1
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
9
Avg. valuation at time of investment
229M
Group Appearance index
0.91
Avg. company exit year
6
Avg. multiplicator
4.88
Strategy success index
0.40

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
Birdie 10 Feb 2022 Internet, Analytics, Artificial Intelligence, Machine Learning, Health Care, Big Data, Hospitality Seed 7M United States, California, Palo Alto
Influitive 09 Jul 2015 Early Stage Venture 30M Ontario, Toronto, Canada

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.