Moneta Ventures

Type

Venture Capital

Status

Active

Location

Folsom, United States

Total investments

53

Average round size

6M

Portfolio companies

39

Rounds per year

5.30

Lead investments

16

Follow on index

0.26

Exits

2

Stages of investment
SeedEarly Stage Venture
Areas of investment
AutomotiveInternetSoftwareInformation TechnologyMobileArtificial IntelligenceMachine LearningSaaSBig DataInternet of Things

Summary

Moneta Ventures is the famous VC, which was founded in 2014. The main department of described VC is located in the Folsom. The fund was located in North America if to be more exact in United States.

Among the various public portfolio startups of the fund, we may underline MindTickle, QuickStart Technologies, Sibros The fund has exact preference in some founders of portfolio startups. When startup sums 3 or 5+ of the founder, the probability for it to get the investment is little. For fund there is a match between the location of its establishment and the land of its numerous investments - United States. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most popular fund investment industries, there are Software, Big Data.

The typical case for the fund is to invest in rounds with 2-3 participants. Despite the Moneta Ventures, startups are often financed by Click Ventures, 500 Startups, The Perkins Fund. The meaningful sponsors for the fund in investment in the same round are Golden Seeds, BELLE Michigan, LP, rocketship.vc. In the next rounds fund is usually obtained by Qualcomm Ventures, Accel, Pereg Ventures.

The current fund was established by Lokesh Sikaria. Besides them, we counted 7 critical employees of this fund in our database.

Comparing to the other companies, this Moneta Ventures performs on 21 percentage points less the average number of lead investments. The top amount of exits for fund were in 2018. The top activity for fund was in 2016. Despite it in 2019 the fund had an activity. The fund is constantly included in 2-6 deals per year. The usual things for fund are deals in the range of 1 - 5 millions dollars. Speaking about the real fund results, this VC is 30 percentage points more often commits exit comparing to other organizations.

Show more

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistB2B/EnterpriseHealthcareEdtechFintech
Stage focus
SeedSeries ASeries B
Geo focus
Generalist
Check size
1M — 5M

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Analytics

Total investments
53
Lead investments
16
Exits
2
Rounds per year
5.30
Follow on index
0.26
Investments by industry
  • Artificial Intelligence (11)
  • Software (11)
  • Machine Learning (9)
  • SaaS (9)
  • Mobile (8)
  • Show 81 more
Investments by region
  • United States (48)
  • India (1)
  • China (1)
  • Canada (2)
  • United Kingdom (1)
Peak activity year
2016
Number of Unicorns
1
Number of Decacorns
1

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
31M
Group Appearance index
0.77
Avg. company exit year
8
Strategy success index
0.10

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
Farther Finance 01 May 2022 Impact Investing, Financial Services, Finance Early Stage Venture 15M United States, New York, New York
HuLoop Automation, Inc. 27 Feb 2024 Software Seed 5M United States, California, Auburn

Similar funds

By same location

By same geo focus

By doing lead investments

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.