CEB Ventures

Total investments

6

Average round size

6M

Portfolio companies

5

Lead investments

1

Follow on index

0.17

Exits

1

Areas of investment
SoftwareInformation TechnologyArtificial IntelligenceMachine LearningSaaSBusiness IntelligenceData IntegrationIntelligent SystemsCustomer ServiceCall Center

Summary

The typical case for the fund is to invest in rounds with 5-6 participants. Despite the CEB Ventures, startups are often financed by Sway Ventures, Mark Cuban, Maciej Artur Noga. The meaningful sponsors for the fund in investment in the same round are WndrCo, Sway Ventures, Salesforce Ventures. In the next rounds fund is usually obtained by WndrCo, Wharton Alumni Angels, Recruit Strategic Partners.

The fund is generally included in less than 2 deals every year. The usual things for fund are deals in the range of 5 - 10 millions dollars. The real fund results show that this VC is 5 percentage points more often commits exit comparing to other companies. The important activity for fund was in 2018.

Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund. The fund has specific favorite in a number of founders of portfolio startups. Among the various public portfolio startups of the fund, we may underline Crystal Knows, Node, Tethr We can highlight the next thriving fund investment areas, such as Human Resources, Big Data.

Show more

Investments analytics

Analytics

Total investments
6
Lead investments
1
Exits
1
Follow on index
0.17
Investments by industry
  • SaaS (5)
  • Artificial Intelligence (4)
  • Machine Learning (4)
  • Information Technology (3)
  • Software (3)
  • Show 14 more
Investments by region
  • United States (6)
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
7
Avg. valuation at time of investment
2M
Group Appearance index
0.83
Avg. company exit year
6

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
CaliberMind 26 Oct 2016 B2B, Artificial Intelligence, Machine Learning, Marketing Automation, SaaS, Natural Language Processing, Sales Automation Seed 1M United States, Boulder, Colorado
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.