Spark Growth Ventures

Total investments

45

Average round size

7M

Portfolio companies

24

Rounds per year

7.50

Lead investments

1

Follow on index

0.47

Exits

1

Stages of investment
SeedEarly Stage Venture
Areas of investment
SoftwareInformation TechnologyArtificial IntelligenceFood and BeverageHealth CareHealth DiagnosticsWellnessSaaSMedical DeviceMedical

Investments analytics

Analytics

Total investments
45
Lead investments
1
Exits
1
Rounds per year
7.50
Follow on index
0.47
Investments by industry
  • Health Care (22)
  • Software (15)
  • Artificial Intelligence (9)
  • Information Technology (8)
  • Medical (7)
  • Show 54 more
Investments by region
  • United States (40)
  • India (5)
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
7
Avg. valuation at time of investment
79M
Group Appearance index
0.31
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 name Deal date Industry Deal stage Deal size Location
Contexta360 20 Apr 2019 Analytics, Information Technology, Artificial Intelligence, Machine Learning, SaaS, Natural Language Processing, Call Center, Speech Recognition Seed 1M North Holland, Amsterdam, Netherlands
Nikola Labs Inc. 21 Feb 2024 Consumer Electronics, Internet of Things, Industrial Automation, Industrial Manufacturing, Electrical Distribution Early Stage Venture 38M United States, Ohio
The Good Face Project 10 May 2022 Beauty, Software, Analytics, Retail Technology, Artificial Intelligence, Machine Learning Seed 5M United States, California, San Diego
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.