GTMFund

Type

Venture Capital

Status

Active

Location

Austin, United States

Total investments

68

Average round size

11M

Portfolio companies

59

Rounds per year

17.00

Lead investments

1

Follow on index

0.12

Stages of investment
Early Stage Venture
Areas of investment
InternetSoftwareFinTechAnalyticsInformation TechnologyB2BSalesArtificial IntelligenceSaaSEnterprise Software

Investor highlights

Industry focus
B2B/Enterprise
Stage focus
Seed
Geo focus
Generalist

Discover reliable insights

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

Investments analytics

Analytics

Total investments
68
Lead investments
1
Rounds per year
17.00
Follow on index
0.12
Investments by industry
  • Software (44)
  • SaaS (16)
  • Information Technology (11)
  • Internet (11)
  • Artificial Intelligence (9)
  • Show 83 more
Investments by region
  • United States (47)
  • Israel (4)
  • Germany (1)
  • The Netherlands (1)
  • India (2)
  • Show 3 more
Peak activity year
2022
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
3
Avg. valuation at time of investment
23M
Group Appearance index
0.99

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
Controlrooms.ai 29 Aug 2023 Software, Information Technology, Artificial Intelligence Early Stage Venture 10M United States, Texas, Austin
UserHub 24 Apr 2024 Seed 3M

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.