AT&T Ventures

Total investments

5

Average round size

61M

Portfolio companies

4

Rounds per year

0.15

Exits

1

Areas of investment
BroadcastingE-CommerceSoftwareInformation TechnologyTelecommunicationsDigital EntertainmentMedia and EntertainmentCloud SecurityWeb DevelopmentSatellite Communication

Summary

The typical case for the fund is to invest in rounds with 7-8 participants. Despite the AT&T Ventures, startups are often financed by Telefonica Innovation Ventures - Overview, Swisscom Ventures, Stanford University. The meaningful sponsors for the fund in investment in the same round are Wasserstein Adelson Ventures, Union Bank, U.S. Venture Partners (USVP). In the next rounds fund is usually obtained by Techstars New York City Accelerator, Techstars, Right Side Capital Management.

Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund. Among the most popular fund investment industries, there are Service Industry, Software. Among the most popular portfolio startups of the fund, we may highlight ASSIA, Pathfire, Dash.

Deals in the range of 50 - 100 millions dollars are the general things for fund. The fund is generally included in less than 2 deals every year.

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Investments analytics

Analytics

Total investments
5
Lead investments
0
Exits
1
Rounds per year
0.15
Investments by industry
  • Telecommunications (1)
  • Information Technology (1)
  • Satellite Communication (1)
  • Software (1)
  • E-Commerce (1)
  • Show 8 more
Investments by region
  • United States (3)
  • India (1)
Peak activity year
1999
Number of Unicorns
1
Number of Decacorns
1

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Quantitative data

Avg. startup age at the time of investment
15
Avg. valuation at time of investment
275M
Avg. company exit year
5

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Cyera 09 Apr 2024 Enterprise Software, Cyber Security, Security, Cloud Security Late Stage Venture 300M United States, California, San Mateo
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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.