212

Type

Venture Capital

Status

Active

Location

Luxembourg, Luxembourg

Total investments

49

Average round size

5M

Portfolio companies

33

Rounds per year

3.77

Lead investments

5

Follow on index

0.33

Exits

3

Stages of investment
SeedEarly Stage VentureLate Stage Venture
Areas of investment
E-CommerceInternetSoftwareInformation TechnologyPaymentsArtificial IntelligenceSaaSMobile PaymentsService IndustryTransaction Processing

Summary

212 appeared to be the VC, which was created in 2011. The main office of represented VC is situated in the Istanbul. The fund was located in Asia if to be more exact in Turkey.

The usual cause for the fund is to invest in rounds with 2-3 partakers. Despite the 212, startups are often financed by Speedinvest, Pachicle Invest, International Finance Corporation. The meaningful sponsors for the fund in investment in the same round are Aslanoba Capital, Wamda Capital, Speedinvest. In the next rounds fund is usually obtained by International Finance Corporation, Aslanoba Capital, HomeAway.

Besides, a startup needs to be aged 2-3 years to get the investment from the fund. The fund has no specific favorite in a number of founders of portfolio startups. If startup sums 3 or 4 of the founder, the chance for it to be financed is low. Among the various public portfolio startups of the fund, we may underline Evim.net, Flat4Day, INSIDER. Among the most successful fund investment fields, there are Cosmetics, E-Commerce. For fund there is a match between the location of its establishment and the land of its numerous investments - Turkey.

Speaking about the real fund results, this VC is 15 percentage points more often commits exit comparing to other organizations. This 212 works on 24 percentage points less the average amount of lead investments comparing to the other organizations. The top amount of exits for fund were in 2019. 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. The top activity for fund was in 2012.

This organization was formed by Ali Karabey, Numan Numan. The overall number of key employees were 3.

Show more

Investor highlights

Industry focus
B2B/Enterprise
Stage focus
Seed
Geo focus
AlbaniaAlgeriaBahrainBosnia and HerzegovinaBulgaria Show 28 more
Check size
1M — 5M

Discover reliable insights

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

Investments analytics

Last fund

Fund size
EUR 49000000
Fund raised date
2020-10-21

Analytics

Total investments
49
Lead investments
5
Exits
3
Rounds per year
3.77
Follow on index
0.33
Investments by industry
  • Software (24)
  • E-Commerce (12)
  • Information Technology (11)
  • Artificial Intelligence (8)
  • SaaS (7)
  • Show 77 more
Investments by region
  • Singapore (2)
  • Turkey (22)
  • United States (13)
  • United Kingdom (6)
  • United Arab Emirates (1)
  • Show 4 more
Peak activity year
2021
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
9
Avg. valuation at time of investment
68M
Group Appearance index
0.67
Avg. company exit year
9
Avg. multiplicator
4.82
Strategy success index
0.30

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
Avatao 19 Apr 2021 Software, E-Learning, Training, Software Engineering, Cyber Security Early Stage Venture 1M Budapest, Hungary
HotelRunner 17 Jan 2023 E-Commerce, Internet, Software, Information Technology, SaaS, Travel, Tourism Early Stage Venture 6M 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.