Oceans

Type

Venture Capital

Status

Active

Location

New York, United States

Total investments

42

Average round size

3M

Portfolio companies

28

Rounds per year

7.00

Lead investments

3

Follow on index

0.33

Stages of investment
SeedEarly Stage Venture
Areas of investment
InternetSoftwareAnalyticsInformation TechnologyArtificial IntelligenceMachine LearningSaaSProductivity ToolsComputerNatural Language Processing

Investor highlights

Industry focus
AI/Big DataDeveloper ToolsB2B/Enterprise
Stage focus
Seed
Geo focus
United States

Discover reliable insights

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

Investments analytics

Analytics

Total investments
42
Lead investments
3
Rounds per year
7.00
Follow on index
0.33
Investments by industry
  • Software (18)
  • Machine Learning (8)
  • Artificial Intelligence (8)
  • Internet (7)
  • Natural Language Processing (5)
  • Show 45 more
Investments by region
  • United States (38)
  • Spain (3)
Peak activity year
2022

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
178K
Group Appearance index
0.76

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
Akooda 01 Jan 2022 Software, Artificial Intelligence, IT Management Seed United States, Massachusetts, Cambridge
Hark 18 Jun 2024 Software, Customer Service Seed 3M United States, New York, New York

Similar funds

By same location

By same geo focus

By doing lead investments

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.