Gramercy Ventures

San Francisco, United States
Venture Capital
Active
Total investments

13

Average round size

50M

Portfolio companies

12

Follow on index

0.08

Areas of investment
Real EstateFinancial ServicesFinTechPaymentsFinanceArtificial IntelligenceMachine LearningInsuranceInsurTechBlockchain

Investor highlights

Industry focus
FintechB2B/Enterprise
Stage focus
GeneralistPre-SeedSeedSeries ASeries B Show 1 more

Discover reliable insights

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

Investments analytics

Analytics

Total investments
13
Lead investments
0
Follow on index
0.08
Investments by industry
  • Financial Services (7)
  • FinTech (6)
  • Finance (5)
  • Payments (4)
  • InsurTech (3)
  • Show 25 more
Investments by region
  • United States (10)
  • Israel (2)
  • Switzerland (1)
Peak activity year
2019
Number of Unicorns
1
Number of Decacorns
1
Number of Minotaurs
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
4
Avg. valuation at time of investment
459M
Group Appearance index
1.00
Strategy success index
0.90

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
Deep Labs14 May 2020Payments, Artificial Intelligence, Machine Learning, Mobile Payments, Banking, Intelligent SystemsEarly Stage Venture16MUnited States, California, San Francisco
Vesttoo25 Oct 2022FinTech, Artificial Intelligence, Machine Learning, Insurance, InsurTech, Risk ManagementLate Stage Venture80MTel Aviv District, Tel Aviv-Yafo, Israel
Vivace Semiconductor27 Feb 2007Developer Tools, SemiconductorEarly Stage Venture7MBeijing, Dongcheng District, China
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.