Stonebridge Ventures

Total investments

28

Average round size

17M

Portfolio companies

22

Rounds per year

1.75

Lead investments

3

Follow on index

0.11

Exits

1

Stages of investment
Early Stage Venture
Areas of investment
BiotechnologyInternetSoftwareArtificial IntelligenceFood and BeverageMachine LearningTherapeuticsVideoVideo StreamingNatural Language Processing

Investments analytics

Analytics

Total investments
28
Lead investments
3
Exits
1
Rounds per year
1.75
Follow on index
0.11
Investments by industry
  • Artificial Intelligence (7)
  • Machine Learning (6)
  • Food and Beverage (5)
  • Software (4)
  • Therapeutics (4)
  • Show 47 more
Investments by region
  • South Korea (15)
  • United States (4)
  • Japan (3)
  • Taiwan (1)
  • Canada (1)
  • Show 1 more
Peak activity year
2021

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
7
Avg. valuation at time of investment
48M
Group Appearance index
0.93
Avg. company exit year
5

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Allganize09 Mar 2021Enterprise, Artificial Intelligence, Machine Learning, Enterprise SoftwareEarly Stage Venture10MUnited States, California, Oakland
Onegene Biotechnology18 Feb 2021Biotechnology, Life Science, TherapeuticsEarly Stage Venture12MGyeonggi-do, Seongnam-si, South Korea
SIRUN07 Sep 2023Automotive, Manufacturing, Service IndustryEarly Stage Venture7MBeijing, Beijing, China
SpringWit19 Aug 2014Fitness, Health Care, MedicalSeed120KUttar Pradesh, Ghaziabad, India
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.