First Analysis

Type

Venture Capital

Status

Active

Location

Chicago, United States

Total investments

95

Average round size

13M

Portfolio companies

68

Rounds per year

2.21

Lead investments

27

Follow on index

0.28

Exits

24

Stages of investment
Early Stage VentureLate Stage Venture
Areas of investment
BiotechnologyE-CommerceSoftwareInformation TechnologyMobileArtificial IntelligenceHealth CareSaaSEnterprise SoftwareMedical Device

Summary

First Analysis appeared to be the VC, which was created in 1981. The fund was located in North America if to be more exact in United States. The main department of described VC is located in the Chicago.

Among the most successful fund investment fields, there are Health Care, Analytics. Among the various public portfolio startups of the fund, we may underline Chrome River Technologies, Athersys, Courtagen Life Sciences 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 6-10 years to get the investment from the fund. The fund has no exact preference in some founders of portfolio startups. In case when startup counts 5+ of the founder, the chance for it to get the investment is meager.

This organization was formed by Oliver Nicklin. Besides them, we counted 6 critical employees of this fund in our database.

The typical case for the fund is to invest in rounds with 3-4 participants. Despite the First Analysis, startups are often financed by Wakestream Ventures, The Argentum Group, Maryland Department of Business and Economic Development. The meaningful sponsors for the fund in investment in the same round are Morgenthaler Ventures, DFJ, William Blair. In the next rounds fund is usually obtained by Sigma Partners, SV Health Investors, The Argentum Group.

Comparing to the other companies, this First Analysis performs on 1 percentage points more the average number of lead investments. The average startup value when the investment from First Analysis is 500 millions - 1 billion dollars. Deals in the range of 10 - 50 millions dollars are the general things for fund. The top amount of exits for fund were in 2011. The important activity for fund was in 2000. Despite it in 2019 the fund had an activity. The fund is constantly included in 2-6 deals per year. The real fund results show that this VC is 17 percentage points more often commits exit comparing to other companies.

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Investor highlights

Industry focus
B2B/Enterprise
Geo focus
CanadaUnited States
Check size
3M — 10M

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Investments analytics

Last fund

Fund size
USD 91000000
Fund raised date
2018-07-10

Analytics

Total investments
95
Lead investments
27
Exits
24
Rounds per year
2.21
Follow on index
0.28
Investments by industry
  • Software (43)
  • Enterprise Software (29)
  • SaaS (17)
  • Information Technology (16)
  • Health Care (14)
  • Show 108 more
Investments by region
  • United States (88)
  • Ireland (3)
  • Germany (1)
  • United Kingdom (1)
Peak activity year
2000

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Quantitative data

Avg. startup age at the time of investment
18
Avg. valuation at time of investment
23M
Group Appearance index
0.93
Avg. company exit year
11
Avg. multiplicator
2.86
Strategy success index
0.20

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
SmartCommerce - Carritus, Inc 13 Apr 2021 E-Commerce, Internet, Marketplace, Digital Marketing Early Stage Venture 13M United States, Atlanta, Georgia
Sware 07 May 2024 Software, Information Technology, Life Science Early Stage Venture 6M United States, Massachusetts, Chelsea
VitaPortal 31 Oct 2012 Information Services (B2C), Other Healthcare, Internet, Health Care, Medical, Digital Media Early Stage Venture 2M Moscow, Russia
Zhongjing Vision 14 May 2024 Manufacturing, Medical Seed Jiangsu, Suzhou, China

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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.