Avataar Venture Partners

Total investments

16

Average round size

58M

Portfolio companies

9

Rounds per year

3.20

Lead investments

3

Follow on index

0.44

Areas of investment
InternetSoftwareAnalyticsSaaSEnterprise SoftwareHealth InsuranceInsuranceAdvertisingAdvertising PlatformsAuto Insurance

Summary

The high activity for fund was in 2019. Considering the real fund results, this VC is 47 percentage points more often commits exit comparing to other organizations. The fund is generally included in 2-6 deals every year. The common things for fund are deals in the range of 10 - 50 millions dollars.

The typical case for the fund is to invest in rounds with 2 participants. Despite the Avataar Venture Partners, startups are often financed by Norwest Venture Partners, InnoVen Capital. The meaningful sponsors for the fund in investment in the same round are Prosus Ventures, Kalaari Capital.

Among the most popular portfolio startups of the fund, we may highlight Appnomic. Moreover, a startup needs to be at the age of 11-15 years to get the investment from the fund. Among the most popular fund investment industries, there are Software, Analytics.

This organization was formed by Mohan Kumar.

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Investments analytics

Analytics

Total investments
16
Lead investments
3
Rounds per year
3.20
Follow on index
0.44
Investments by industry
  • SaaS (4)
  • Software (3)
  • Enterprise Software (3)
  • Analytics (3)
  • Internet (3)
  • Show 21 more
Investments by region
  • India (9)
  • United States (5)
  • Singapore (2)
Peak activity year
2023
Number of Unicorns
2
Number of Decacorns
2

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Quantitative data

Avg. startup age at the time of investment
11
Avg. valuation at time of investment
383M
Group Appearance index
0.94

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
InsuranceDekho 10 Oct 2023 Health Insurance, Insurance, Auto Insurance Early Stage Venture 60M Haryana, Gurugram, India
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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.