Blindspot Ventures

Boston, United States
Venture Capital
Active
Total investments

13

Average round size

16M

Portfolio companies

10

Rounds per year

2.17

Follow on index

0.23

Stages of investment
Seed
Areas of investment
BiotechnologyEnergy StorageFood and BeverageFood ProcessingHealth CareEnergyRenewable EnergyAgTechEnvironmental EngineeringBattery

Investor highlights

Industry focus
AnalyticsEnergyHealthcareEcommerceAI/Big Data Show 4 more
Stage focus
Seed

Discover reliable insights

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

Investments analytics

Analytics

Total investments
13
Lead investments
0
Rounds per year
2.17
Follow on index
0.23
Investments by industry
  • Biotechnology (5)
  • Health Care (3)
  • Food Processing (3)
  • Food and Beverage (3)
  • AgTech (3)
  • Show 32 more
Investments by region
  • United States (13)
Peak activity year
2020

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
4
Avg. valuation at time of investment
130M
Group Appearance index
1.00

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
01 Sep 2017Artificial Intelligence, Machine Learning, Natural ResourcesSeed1MUnited Kingdom, London, England
China International Broadcasting Network05 Sep 2011Broadcasting, Content, Media and EntertainmentEarly Stage Venture1MChina, Beijing, Shijingshan District
Form Energy18 Jun 2018Energy Storage, Energy, Renewable Energy, Environmental Engineering, BatteryEarly Stage Venture9MUnited States, Massachusetts
Pascal08 May 2024Seed8MUnited States, Massachusetts, Cambridge
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.