Elara Capital

Total investments

1

Average round size

6M

Portfolio companies

1

Rounds per year

0.05

Lead investments

1

Exits

1

Areas of investment
AutomotiveLogisticsTransportationPublic TransportationTaxi Service

Summary

Elara Capital appeared to be the VC, which was created in 2002. The leading representative office of defined VC is situated in the New York. The company was established in North America in United States.

We can highlight the next thriving fund investment areas, such as Public Transportation, Automotive. Among the various public portfolio startups of the fund, we may underline Bookmycab For fund there is no match between the location of its establishment and the land of its numerous investments - India. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund.

The fund is constantly included in less than 2 deals per year. The usual things for fund are deals in the range of 5 - 10 millions dollars. The high activity for fund was in 2014. The top amount of exits for fund were in 2016.

The standard case for the fund is to invest in rounds with 1 partaker. Despite the Elara Capital, startups are often financed by YourNest Venture Capital, Mumbai Angels, Artha India Ventures. In the next rounds fund is usually obtained by Contrarian Drishti Partners.

We also calculated 7 valuable employees in our database.

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Investments analytics

Analytics

Total investments
1
Lead investments
1
Exits
1
Rounds per year
0.05
Investments by industry
  • Transportation (1)
  • Public Transportation (1)
  • Taxi Service (1)
  • Automotive (1)
  • Logistics (1)
Investments by region
  • India (1)
Peak activity year
2014

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Quantitative data

Avg. startup age at the time of investment
9
Avg. company exit year
4

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Latest deals

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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.