Empire Angels

Type

Angel Group/Syndicate

Status

Active

Location

New York, United States

Total investments

30

Average round size

3M

Portfolio companies

23

Rounds per year

2.73

Follow on index

0.23

Exits

3

Stages of investment
SeedEarly Stage Venture
Areas of investment
AutomotiveE-CommerceTransportationSoftwareAnalyticsMobileRentalSaaSInternet of ThingsReservations

Summary

Empire Angels is the famous VC, which was founded in 2012. The main department of described VC is located in the New York. The venture was found in North America in United States.

The fund was created by Christina Bechhold Russ, Graham Gullans. Besides them, we counted 2 critical employees of this fund in our database.

The usual cause for the fund is to invest in rounds with 4-5 partakers. Despite the Empire Angels, startups are often financed by VentureSouq, Vaidya Capital Partners, Spark Capital. The meaningful sponsors for the fund in investment in the same round are Sequoia Capital, NGP Capital, Max Ventures. In the next rounds fund is usually obtained by Sequoia Capital, NGP Capital, ff Venture Capital.

Among the most successful fund investment fields, there are Food and Beverage, Fashion. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Imperative, Juno, Crave. The fund has specific favorite in a number of founders of portfolio startups. If startup sums 4 or 5+ of the founder, the chance for it to be financed is low. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States.

The common things for fund are deals in the range of 1 - 5 millions dollars. Considering the real fund results, this VC is 12 percentage points less often commits exit comparing to other organizations. The average startup value when the investment from Empire Angels is 1-5 millions dollars. The fund is constantly included in 2-6 deals per year. The high activity for fund was in 2013. Despite it in 2019 the fund had an activity. The higher amount of exits for fund were in 2017. Opposing the other organizations, this Empire Angels works on 17 percentage points less the average amount of lead investments.

Show more

Investor highlights

Stage focus
SeedSeries A
Geo focus
Generalist
Check size
100K — 250K

Discover reliable insights

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

Investments analytics

Analytics

Total investments
30
Lead investments
0
Exits
3
Rounds per year
2.73
Follow on index
0.23
Investments by industry
  • Analytics (8)
  • E-Commerce (8)
  • Automotive (7)
  • Software (6)
  • Rental (6)
  • Show 65 more
Investments by region
  • India (6)
  • United States (24)
Peak activity year
2013
Number of Unicorns
1
Number of Decacorns
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
206M
Group Appearance index
0.77
Avg. company exit year
3
Avg. multiplicator
62.02
Strategy success index
0.30

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
BEGiN 09 May 2016 E-Learning, Apps, EdTech, Education, iOS, Android, Reading Apps Early Stage Venture 12M United States, New York, New York
Juno 01 Jun 2016 Information Technology, Information Services, Ride Sharing Early Stage Venture 0 United States, New York, New York
neuromore 01 Sep 2015 Software, Neuroscience, Internet of Things, Biometrics, Quantified Self Seed 500K United States, Florida, Miami

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.