AcceliCITY

Type

Non-Profit

Status

Active

Location

Boston, United States

Total investments

233

Average round size

3K

Portfolio companies

215

Rounds per year

17.92

Follow on index

0.08

Exits

5

Areas of investment
TransportationSoftwareInformation TechnologyArtificial IntelligenceCleanTechInternet of ThingsEnergyRenewable EnergyGovTechSmart Cities

Summary

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 Boston.

The standard case for the fund is to invest in rounds with 1 partaker. Despite the AcceliCITY, startups are often financed by The University of Texas at Austin, Startupbootcamp, Shell Ventures.

The high activity for fund was in 2018. The fund is constantly included in 2-6 deals per year.

Among the most popular portfolio startups of the fund, we may highlight Vizsafe. Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund. Among the most popular fund investment industries, there are Internet, Social Entrepreneurship. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States.

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Investor highlights

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Investments analytics

Analytics

Total investments
233
Lead investments
0
Exits
5
Rounds per year
17.92
Follow on index
0.08
Investments by industry
  • Software (64)
  • Information Technology (46)
  • Smart Cities (37)
  • CleanTech (35)
  • Internet of Things (35)
  • Show 208 more
Investments by region
  • Spain (7)
  • United States (88)
  • United Kingdom (10)
  • Sweden (4)
  • Canada (17)
  • Show 36 more
Peak activity year
2022

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Quantitative data

Avg. startup age at the time of investment
7
Avg. valuation at time of investment
1M
Group Appearance index
0.02
Avg. company exit year
11

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Dynamhex 15 Jul 2020 CleanTech, GovTech Seed 100K United States, Missouri, Kansas City
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.