IA Ventures

Type

Venture Capital

Status

Active

Location

New York, United States

Total investments

161

Average round size

12M

Portfolio companies

82

Rounds per year

11.50

Lead investments

25

Follow on index

0.49

Exits

26

Stages of investment
SeedEarly Stage Venture
Areas of investment
SoftwareFinancial ServicesFinTechAnalyticsArtificial IntelligenceMachine LearningSaaSEnterprise SoftwareBig DataAdvertising

Summary

IA Ventures appeared to be the VC, which was created in 2009. The leading representative office of defined VC is situated in the New York. The fund was located in North America if to be more exact in United States.

The fund was created by Brad Gillespie, Roger Ehrenberg. The overall number of key employees were 3.

The common things for fund are deals in the range of 10 - 50 millions dollars. This IA Ventures works on 13 percentage points less the average amount of lead investments comparing to the other organizations. The increased amount of exits for fund were in 2015. The high activity for fund was in 2012. Despite it in 2019 the fund had an activity. The fund is constantly included in 7-12 investment rounds annually. Speaking about the real fund results, this VC is 3 percentage points more often commits exit comparing to other organizations. The average startup value when the investment from IA Ventures is 100-500 millions dollars.

The typical case for the fund is to invest in rounds with 5-6 participants. Despite the IA Ventures, startups are often financed by Neu Venture Capital, Founder Collective, First Round Capital. The meaningful sponsors for the fund in investment in the same round are SV Angel, Neu Venture Capital, Village Ventures. In the next rounds fund is usually obtained by Index Ventures, First Round Capital, Accel.

Among the most popular portfolio startups of the fund, we may highlight Datadog, Flatiron Health, TransferWise. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. The fund has no specific favorite in a number of founders of portfolio startups. In case when startup counts 4 or 5+ of the founder, the chance for it to get the investment is meager. Among the most successful fund investment fields, there are FinTech, Big Data.

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Investor highlights

Stage focus
Seed
Geo focus
Generalist
Check size
Up to 10M

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Investments analytics

Last fund

Fund size
USD 160000000
Fund raised date
2020-01-16

Analytics

Total investments
161
Lead investments
25
Exits
26
Rounds per year
11.50
Follow on index
0.49
Investments by industry
  • Software (57)
  • Analytics (32)
  • FinTech (28)
  • SaaS (26)
  • Artificial Intelligence (23)
  • Show 140 more
Investments by region
  • United States (142)
  • Canada (4)
  • United Kingdom (9)
  • India (2)
  • Thailand (1)
  • Show 2 more
Peak activity year
2012
Number of Unicorns
9
Number of Decacorns
9
Number of Minotaurs
4

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Quantitative data

Avg. startup age at the time of investment
9
Avg. valuation at time of investment
468M
Group Appearance index
0.99
Avg. company exit year
6
Avg. multiplicator
7.14
Strategy success index
0.90

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Kinsa 14 Aug 2012 Software, Health Care, Apps, Hardware, mHealth, Child Care Seed 2M United States, California, San Francisco
Lore 03 Jan 2012 Finance, EdTech, Education Early Stage Venture 5M United States, New York, New York
ShopAround 01 May 2012 E-Commerce, Mobile, Price Comparison, Product Search Seed 17K North Holland, Amsterdam, Netherlands

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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.