Bynd Venture Capital

Type

Venture Capital

Status

Active

Location

Lisboa, Portugal

Total investments

47

Average round size

4M

Portfolio companies

40

Rounds per year

3.62

Lead investments

6

Follow on index

0.15

Exits

1

Stages of investment
SeedEarly Stage Venture
Areas of investment
Real EstateE-CommerceInternetSoftwareInformation TechnologyMobileArtificial IntelligenceMachine LearningHealth CareSaaS

Summary

Busy Angels is the famous VC, which was founded in 2010. The fund was located in Europe if to be more exact in Portugal. The main department of described VC is located in the Lisbon.

The typical case for the fund is to invest in rounds with 3-4 participants. Despite the Busy Angels, startups are often financed by Bright Pixel, Samaipata, Toubkal Partners. The meaningful sponsors for the fund in investment in the same round are Armilar Venture Partners, Alexa Fund, Shilling Capital Partners. In the next rounds fund is usually obtained by Portugal Ventures, Horizon 2020, EASME - EU Executive Agency for SMEs.

The current fund was established by Francisco Ferreira Pinto, Joao Costa. The overall number of key employees were 6.

The important activity for fund was in 2014. The fund is constantly included in 2-6 investment rounds annually. When the investment is from Busy Angels the average startup value is 1-5 millions dollars. The common things for fund are deals in the range of 1 - 5 millions dollars. Considering the real fund results, this VC is 6 percentage points more often commits exit comparing to other organizations.

Among the most popular portfolio startups of the fund, we may highlight FASTinov, Xhockware, DefinedCrowd. For fund there is no match between the country of its foundation and the country of its the most frequent investments - Spain. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the most successful fund investment fields, there are Mobile, Medical Device. The fund has exact preference in a number of founders of portfolio startups.

Show more

Investor highlights

Industry focus
B2B/EnterpriseConsumer/RetailClimate techMedtech
Stage focus
Seed
Geo focus
PortugalSpain
Check size
211K — 316K

Discover reliable insights

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

Investments analytics

Last fund

Fund size
EUR 10000000
Fund raised date
2019-11-01

Analytics

Total investments
47
Lead investments
6
Exits
1
Rounds per year
3.62
Follow on index
0.15
Investments by industry
  • Software (16)
  • Health Care (6)
  • E-Commerce (5)
  • Information Technology (5)
  • Machine Learning (5)
  • Show 83 more
Investments by region
  • Spain (14)
  • United States (6)
  • Portugal (22)
  • The Netherlands (1)
  • Germany (1)
  • Show 1 more
Peak activity year
2022

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
179K
Group Appearance index
0.85
Avg. company exit year
5

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
Coinplug 25 Nov 2013 FinTech, Payments, Finance, Mobile Payments, Blockchain, Identity Management Seed 400K South Korea, Gyeonggi-do, Seongnam-si
DefinedCrowd 31 Jul 2018 Software, Artificial Intelligence, Machine Learning, Data Center, Natural Language Processing Early Stage Venture 11M United States, Washington, Seattle
Last 15 Nov 2023 Software, Restaurants Seed 5M Barcelona, Catalonia, Spain
19 May 2019 Information Technology, Fitness, Health Care Seed 41K England, London, United Kingdom

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.