Cybernaut Westlake Partners

Total investments

1

Average round size

7M

Portfolio companies

1

Areas of investment
Artificial IntelligenceMachine LearningBig DataAugmented RealityVirtual RealityInternet of ThingsBlockchainSpeech Recognition

Summary

The typical case for the fund is to invest in rounds with 10 participants. Despite the Cybernaut Westlake Partners, startups are often financed by Third Wave Digital, PreAngel, Nextplay Ventures. The meaningful sponsors for the fund in investment in the same round are Third Wave Digital, NewDo Venture, Leaguer Venture Capital. In the next rounds fund is usually obtained by memBrain LLC, Tencent Holdings, Softbank Ventures Asia.

Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight ObEN. We can highlight the next thriving fund investment areas, such as Internet of Things, Big Data.

The high activity for fund was in 2016. 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.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Investments by industry
  • Internet of Things (1)
  • Virtual Reality (1)
  • Artificial Intelligence (1)
  • Speech Recognition (1)
  • Big Data (1)
  • Show 3 more
Investments by region
  • United States (1)
Peak activity year
2016

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Quantitative data

Avg. startup age at the time of investment
7
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
ObEN 03 Nov 2016 Artificial Intelligence, Machine Learning, Big Data, Augmented Reality, Virtual Reality, Internet of Things, Blockchain, Speech Recognition Early Stage Venture 7M United States, California, Pasadena
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.