Amaranthine

Type

Venture Capital

Status

Active

Location

San Francisco, United States

Total investments

20

Average round size

14M

Portfolio companies

14

Rounds per year

4.00

Follow on index

0.30

Areas of investment
LogisticsInternetSoftwareFinTechInformation TechnologyDronesComputerVideoWeb DevelopmentFood Delivery

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more

Discover reliable insights

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

Investments analytics

Analytics

Total investments
20
Lead investments
0
Rounds per year
4.00
Follow on index
0.30
Investments by industry
  • Software (11)
  • Internet (6)
  • Information Technology (4)
  • Video (3)
  • Web Development (3)
  • Show 34 more
Investments by region
  • United States (7)
  • Germany (2)
  • Israel (2)
  • Canada (2)
  • United Kingdom (3)
  • Show 2 more
Peak activity year
2020
Number of Unicorns
2
Number of Decacorns
2
Number of Minotaurs
2

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
629M
Group Appearance index
1.00
Avg. company exit year
4

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
Appa Life 17 Sep 2018 Food and Beverage Seed United States, New York, New York
GruEnergy 08 May 2023 Manufacturing, Semiconductor, Renewable Energy Early Stage Venture United States, California, San Jose
HourOne AI 25 Apr 2022 Software, Video Early Stage Venture 20M Tel Aviv District, Tel Aviv-Yafo, Israel
Relay 19 Oct 2020 Financial Services, FinTech, Payments, Small and Medium Businesses, Data Integration, Banking Seed 4M Ontario, Old Toronto, Canada
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.