Merus Capital

Type

Venture Capital

Status

Active

Location

Menlo Park, United States

Total investments

89

Average round size

8M

Portfolio companies

56

Rounds per year

5.56

Lead investments

17

Follow on index

0.36

Exits

14

Stages of investment
SeedEarly Stage Venture
Areas of investment
SoftwareAnalyticsInformation TechnologyMobileArtificial IntelligenceMachine LearningSaaSEnterprise SoftwareBig DataPredictive Analytics

Summary

Merus Capital appeared to be the VC, which was created in 2008. The fund was located in North America if to be more exact in United States. The main department of described VC is located in the Palo Alto.

The standard case for the fund is to invest in rounds with 5-6 partakers. Despite the Merus Capital, startups are often financed by AngelPad, Y Combinator, TSVC. The meaningful sponsors for the fund in investment in the same round are Data Collective DCVC, AngelPad, Khosla Ventures. In the next rounds fund is usually obtained by XG Ventures, Khosla Ventures, AngelPad.

The fund has no exact preference in a number of founders of portfolio startups. When startup sums 4 or 5+ of the founder, the probability for it to get the investment is little. Among the most popular portfolio startups of the fund, we may highlight Symphony Communication Services Holdings, Womply, Iterable. Among the most popular fund investment industries, there are Enterprise Software, Software. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Besides, a startup needs to be aged 2-3 years to get the investment from the fund.

The fund was created by Peter Hsing, Salman Ullah, Sean Dempsey. The overall number of key employees were 4.

The typical startup value when the investment from Merus Capital is 500 millions - 1 billion dollars. The top activity for fund was in 2014. Considering the real fund results, this VC is 13 percentage points more often commits exit comparing to other organizations. This Merus Capital works on 12 percentage points less the average amount of lead investments comparing to the other organizations. Deals in the range of 10 - 50 millions dollars are the general things for fund. The fund is constantly included in 2-6 deals per year. The top amount of exits for fund were in 2019.

Show more

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Stage focus
SeedSeries CSeries ASeries B
Geo focus
Generalist
Check size
Up to 3M

Discover reliable insights

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

Investments analytics

Last fund

Fund size
USD 85000000

Analytics

Total investments
89
Lead investments
17
Exits
14
Rounds per year
5.56
Follow on index
0.36
Investments by industry
  • Software (44)
  • Machine Learning (20)
  • Big Data (17)
  • SaaS (15)
  • Analytics (14)
  • Show 113 more
Investments by region
  • United States (78)
  • United Kingdom (3)
  • Canada (1)
  • Argentina (1)
  • Germany (1)
  • Show 1 more
Peak activity year
2022
Number of Unicorns
4
Number of Decacorns
4

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
8
Avg. valuation at time of investment
164M
Group Appearance index
0.90
Avg. company exit year
5
Avg. multiplicator
0.48
Strategy success index
0.70

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
DynamoFL 20 Sep 2022 Seed 4M
Talage 08 Mar 2022 SaaS, Small and Medium Businesses, Insurance, InsurTech Early Stage Venture 9M United States, Nevada, Reno

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.