Koa Labs

Cambridge, United States
Venture Capital
Active
Total investments

39

Average round size

3M

Portfolio companies

29

Rounds per year

3.00

Follow on index

0.26

Exits

2

Stages of investment
Seed
Areas of investment
InternetSoftwareArtificial IntelligenceMachine LearningHealth CareWellnessAppsMedicalPersonal HealthWeb Apps

Investor highlights

Stage focus
Seed
Check size
150K

Discover reliable insights

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

Investments analytics

Analytics

Total investments
39
Lead investments
0
Exits
2
Rounds per year
3.00
Follow on index
0.26
Investments by industry
  • Health Care (14)
  • Software (10)
  • Medical (8)
  • Apps (7)
  • Internet (6)
  • Show 62 more
Investments by region
  • United States (33)
  • Kenya (1)
  • Israel (2)
  • United Kingdom (1)
Peak activity year
2022
Number of Unicorns
1
Number of Decacorns
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
5
Avg. valuation at time of investment
63M
Group Appearance index
0.51
Avg. company exit year
4
Strategy success index
0.30

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
Ai Build05 Oct 2016Artificial Intelligence, Machine Learning, Robotics, Manufacturing, 3D PrintingSeed88KEngland, London, United Kingdom
AppLand06 Apr 2020SoftwareSeedUnited States, Massachusetts, Boston
Marigold Health18 Jun 2024Artificial Intelligence, Health Care, Health Diagnostics, Medical, Natural Language Processing, PsychologyEarly Stage Venture11MUnited States, Massachusetts, Boston

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.