Audeo Capital

Type

Venture Capital

Status

Active

Location

Boston, United States

Total investments

8

Average round size

5M

Portfolio companies

6

Rounds per year

1.33

Lead investments

3

Follow on index

0.25

Areas of investment
SoftwareAnalyticsInformation TechnologyMobile AppsEnterprise SoftwareCyber SecurityWeb AppsRisk ManagementPrivacyCompliance

Summary

The top activity for fund was in 2018. The fund is generally included in less than 2 deals every year. The common things for fund are deals in the range of 1 - 5 millions dollars.

Among the most popular portfolio startups of the fund, we may highlight CyberSaint Security, Pillir. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. The fund has no specific favorite in a number of founders of portfolio startups. Among the most popular fund investment industries, there are Software, Mobile Apps.

The typical case for the fund is to invest in rounds with 1-2 participants. Despite the Audeo Capital, startups are often financed by Keiretsu Forum Northwest, Grayhawk Capital. The meaningful sponsors for the fund in investment in the same round are BlueIO.

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Investor highlights

Industry generalist
Yes
Industry focus
GeneralistConsumer/Retail
Stage focus
Series CSeries DSeries E
Check size
1M — 25M

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Investments analytics

Analytics

Total investments
8
Lead investments
3
Rounds per year
1.33
Follow on index
0.25
Investments by industry
  • Software (5)
  • Enterprise Software (2)
  • Risk Management (2)
  • Cyber Security (2)
  • Compliance (2)
  • Show 13 more
Investments by region
  • United States (5)
  • Colombia (1)
Peak activity year
2021

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Quantitative data

Avg. startup age at the time of investment
12
Group Appearance index
0.50

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Image Relay 09 Mar 2021 Asset Management, Software, Information Technology, Content Early Stage Venture 3M United States, Vermont, Burlington
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.