Sidebar? CTA!

Hello, CTA must CTA!

Alium Capital Management

Type

Venture Capital

Status

Active

Location

Sydney, Australia

Total investments

45

Average round size

15M

Portfolio companies

39

Rounds per year

6.43

Lead investments

12

Follow on index

0.13

Exits

6

Stages of investment
SeedPrivate EquityEarly Stage VentureLate Stage Venture
Areas of investment
SoftwareFinancial ServicesFinTechInformation TechnologyMobileArtificial IntelligenceHealth CareSaaSAppsEducation

Summary

Alium Capital appeared to be the VC, which was created in 2016. The company was established in Australia. The leading representative office of defined VC is situated in the Sydney.

Speaking about the real fund results, this VC is 18 percentage points more often commits exit comparing to other organizations. Deals in the range of 10 - 50 millions dollars are the general things for fund. The fund is constantly included in 7-12 deals per year. The typical startup value when the investment from Alium Capital is more than 1 billion dollars. Comparing to the other companies, this Alium Capital performs on 23 percentage points less the average number of lead investments. The top activity for fund was in 2018. The top amount of exits for fund were in 2019.

The usual cause for the fund is to invest in rounds with 2-3 partakers. Despite the Alium Capital, startups are often financed by Larsen Ventures, H2 Ventures, 500 Startups. The meaningful sponsors for the fund in investment in the same round are Perle Ventures, Seven West Media, Larsen Ventures. In the next rounds fund is usually obtained by Thorney Investment, The Jagen Group, Smile Group.

The overall number of key employees were 3.

The fund has no exact preference in some founders of portfolio startups. In case when startup counts 4 or 5+ of the founder, the chance for it to get the investment is meager. We can highlight the next thriving fund investment areas, such as SaaS, Apps. Among the most popular portfolio startups of the fund, we may highlight Bitcoin.com.au, EatClub, Respondent Inc.. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. For fund there is a match between the location of its establishment and the land of its numerous investments - Australia.

Show more

Investor highlights

Data2 CTA Block

Click click! Do this trick!

Investments analytics

Analytics

Total investments
45
Lead investments
12
Exits
6
Rounds per year
6.43
Follow on index
0.13
Investments by industry
  • Software (10)
  • Financial Services (7)
  • Apps (6)
  • Information Technology (6)
  • Mobile (5)
  • Show 85 more
Investments by region
  • United States (7)
  • Australia (33)
  • United Kingdom (1)
  • New Zealand (1)
  • Singapore (1)
  • Show 1 more
Peak activity year
2018
Number of Unicorns
1
Number of Decacorns
1
Number of Minotaurs
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
9
Avg. valuation at time of investment
35M
Group Appearance index
0.44
Avg. company exit year
6
Avg. multiplicator
1.17

Data1 Finished!

Buy stuff!

Latest deals

Company name Deal date Industry Deal stage Deal size Location
Alex Bank 01 Jan 2020 Financial Services Early Stage Venture Brisbane, Queensland, Australia
Kedian Aerospace 29 May 2023 Information Services, Aerospace Early Stage Venture Beijing, Huairou, China
Level E Research 08 Apr 2021 Financial Services, FinTech, Artificial Intelligence, Machine Learning Seed 1M Scotland, City of Edinburgh, United Kingdom
Liven 01 Jan 2021 FinTech, Sales, Mobile, Apps, Restaurants, Mobile Payments, Hospitality, iOS, Android, Virtual Currency, Charity Late Stage Venture Victoria, Melbourne, Australia

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.