SCITI Labs (A TechNexus Venture)

Total investments

2

Portfolio companies

2

Rounds per year

0.67

Areas of investment
SoftwareSaaSEnterprise SoftwareCloud Data ServicesVideoWeb Development

Summary

In 2018 was created SCITI Labs (A TechNexus Venture), which is appeared as VC. The main department of described VC is located in the Chicago. The venture was found in North America in United States.

We can highlight the next thriving fund investment areas, such as Apps, Video. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular portfolio startups of the fund, we may highlight Aframe. Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund.

The typical case for the fund is to invest in rounds with 1 participant. Despite the SCITI Labs (A TechNexus Venture), startups are often financed by Northstar Ventures, Octopus Ventures, Whetstone Group.

The fund is constantly included in less than 2 deals per year. The high activity for fund was in 2018.

Show more

Investments analytics

Analytics

Total investments
2
Lead investments
0
Rounds per year
0.67
Investments by industry
  • Video (1)
  • Cloud Data Services (1)
  • Enterprise Software (1)
  • SaaS (1)
  • Web Development (1)
  • Show 1 more
Investments by region
  • United States (1)
  • Canada (1)
Peak activity year
2018

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
10

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
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.