Thynk Ventures

Type

Venture Capital

Status

Active

Location

Stamford, United States

Total investments

1

Average round size

5M

Portfolio companies

1

Rounds per year

0.17

Lead investments

1

Areas of investment
SoftwareAnalyticsInformation ServicesArtificial IntelligenceMachine LearningBusiness IntelligenceComputer VisionPredictive Analytics

Summary

Thynk Ventures appeared to be the VC, which was created in 2015.

Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most successful fund investment fields, there are Machine Learning, Business Intelligence. Among the various public portfolio startups of the fund, we may underline RS Metrics

The usual cause for the fund is to invest in rounds with 5 partakers. Despite the Thynk Ventures, startups are often financed by Jim Brown. The meaningful sponsors for the fund in investment in the same round are Richard Chmiel, Nathan Gantcher, Jim Brown.

The fund was created by Maneesh Sagar.

The common things for fund are deals in the range of 5 - 10 millions dollars. The top activity for fund was in 2017. The fund is generally included in less than 2 deals every year.

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Investor highlights

Industry focus
AI/Big DataConsumer/RetailEdtechCommunity/Social network
Stage focus
Series ASeries B

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Investments analytics

Analytics

Total investments
1
Lead investments
1
Rounds per year
0.17
Investments by industry
  • Analytics (1)
  • Artificial Intelligence (1)
  • Machine Learning (1)
  • Business Intelligence (1)
  • Information Services (1)
  • Show 3 more
Investments by region
  • United States (1)
Peak activity year
2017

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Quantitative data

Avg. startup age at the time of investment
10
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
RS Metrics 01 Oct 2017 Software, Analytics, Information Services, Artificial Intelligence, Machine Learning, Business Intelligence, Computer Vision, Predictive Analytics Early Stage Venture 5M United States, Connecticut, Stamford
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.