Distributed Ventures

Type

Venture Capital

Status

Active

Location

New York, United States

Total investments

16

Average round size

9M

Portfolio companies

12

Rounds per year

2.67

Lead investments

2

Follow on index

0.25

Exits

1

Stages of investment
SeedEarly Stage Venture
Areas of investment
Information TechnologyHealth CareWellnessAppsInsuranceInsurTechConstructionProperty ManagementSmart HomeFertility

Investor highlights

Industry focus
InsurtechFintechHealthcare
Stage focus
Seed
Geo focus
Generalist

Discover reliable insights

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

Investments analytics

Last fund

Fund size
USD 100000000
Fund raised date
2023-07-13

Analytics

Total investments
16
Lead investments
2
Exits
1
Rounds per year
2.67
Follow on index
0.25
Investments by industry
  • Health Care (8)
  • Wellness (5)
  • InsurTech (4)
  • Fertility (4)
  • Insurance (3)
  • Show 26 more
Investments by region
  • United States (14)
  • United Kingdom (1)
  • Bangladesh (1)
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
6
Avg. valuation at time of investment
141M
Group Appearance index
0.88

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
Kindbody 06 Sep 2022 Fitness, Health Care, Wellness, Medical, Women's, Fertility Late Stage Venture 26M United States, New York, New York
Posterity Health 29 May 2024 Health Care, Wellness, Fertility Seed 6M United States, Colorado, Parker
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.