Signal Ventures

Singapore, Singapore
Venture Capital
Active
Total investments

2

Average round size

3M

Portfolio companies

2

Stages of investment
Seed
Areas of investment
SoftwareGamingDeveloper ToolsBlockchain

Investor highlights

Industry focus
Blockchain/Crypto/Web3
Stage focus
Series ASeries B

Discover reliable insights

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

Investments analytics

Analytics

Total investments
2
Lead investments
0
Investments by industry
  • Developer Tools (1)
  • Software (1)
  • Gaming (1)
  • Blockchain (1)
Investments by region
  • Switzerland (1)
  • United Kingdom (1)
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
1
Avg. valuation at time of investment
31M
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
Subsquid11 Nov 2021Seed3M
Company nameDeal dateIndustryDeal stageDeal sizeLocation
Mem0Oct 29, 2025AI, memory infrastructure, Memory infrastructure-24000000 USD San Francisco, California
ExtendJun 17, 2025AI-native document processing, Document classification, extraction and splitting tools, Financial Institutions Partnerships, Large Language Models (LLMs), Payment Workflows, Spend and Expense Management, Virtual Cards-17000000 USD New York
EudiaFeb 13, 2025Augmented Intelligence, Fortune 500 Legal Teams, Legal Technology-105000000 USD Palo Alto, California
Dippy AIOct 23, 2024AI, Character AI, Mobile-first appAngel stage2100000 USD Toronto, Ontario
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.