Faber

Type

Venture Capital

Status

Active

Location

Lisbon, Portugal

Total investments

55

Average round size

3M

Portfolio companies

40

Rounds per year

4.58

Lead investments

6

Follow on index

0.27

Exits

3

Stages of investment
SeedEarly Stage Venture
Areas of investment
SoftwareAnalyticsInformation TechnologyB2BMobileArtificial IntelligenceMachine LearningHealth CareSaaSDeveloper Tools

Summary

Faber Ventures appeared to be the VC, which was created in 2012. The fund was located in Europe if to be more exact in Portugal. The leading representative office of defined VC is situated in the Lisbon.

The fund is generally included in 2-6 deals every year. The real fund results show that this VC is 15 percentage points less often commits exit comparing to other companies. Deals in the range of 1 - 5 millions dollars are the general things for fund. The important activity for fund was in 2015. Opposing the other organizations, this Faber Ventures works on 24 percentage points less the average amount of lead investments. When the investment is from Faber Ventures the average startup value is 1-5 millions dollars.

The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the Faber Ventures, startups are often financed by Seedcamp, Caixa Capital, Shilling Capital Partners. The meaningful sponsors for the fund in investment in the same round are Portugal Ventures, Caixa Capital, Seedcamp. In the next rounds fund is usually obtained by Caixa Capital, JOIN Capital, Scale Venture Partners.

Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline Unbabel, Hole19, Codacy The fund has no exact preference in some founders of portfolio startups. In case when startup counts 3 or 4 of the founder, the chance for it to get the investment is meager. For fund there is a match between the location of its establishment and the land of its numerous investments - Portugal. We can highlight the next thriving fund investment areas, such as Analytics, Education.

The current fund was established by Alexandre Barbosa. The overall number of key employees were 4.

Show more

Investor highlights

Industry focus
AI/Big DataClimate techMaritimeBlockchain/Crypto/Web3
Stage focus
SeedPre-Seed
Geo focus
AlbaniaAustriaBelgiumBosnia and HerzegovinaBulgaria Show 37 more
Check size
109K — 2M

Discover reliable insights

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

Investments analytics

Last fund

Fund size
EUR 31000000
Fund raised date
2022-05-01

Analytics

Total investments
55
Lead investments
6
Exits
3
Rounds per year
4.58
Follow on index
0.27
Investments by industry
  • Software (18)
  • SaaS (17)
  • Artificial Intelligence (11)
  • Machine Learning (10)
  • B2B (8)
  • Show 80 more
Investments by region
  • United States (10)
  • Portugal (18)
  • Germany (7)
  • Spain (3)
  • United Kingdom (10)
  • Show 6 more
Peak activity year
2022
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
6
Avg. valuation at time of investment
76M
Group Appearance index
0.87
Avg. company exit year
5
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
1s1 Energy 09 Nov 2022 Renewable Energy, Environmental Engineering, Energy Management Seed 2M United States, California
Kern AI 16 Feb 2023 Software, Artificial Intelligence Seed 3M Bavaria, Brandenburg, Germany

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.