Isai

Type

Venture Capital

Status

Active

Location

Paris, France

Total investments

142

Average round size

8M

Portfolio companies

84

Rounds per year

10.14

Lead investments

37

Follow on index

0.40

Exits

13

Stages of investment
SeedPrivate EquityEarly Stage VentureLate Stage Venture
Areas of investment
E-CommerceInternetSoftwareAnalyticsInformation TechnologyOnline PortalsHealth CareSaaSAdvertisingTravel

Summary

Isai appeared to be the VC, which was created in 2009. The fund was located in Europe if to be more exact in France. The main department of described VC is located in the Paris.

The current fund was established by Christophe Raynaud, Geoffroy Roux de Bezieux, Jean-David Chamboredon, Ouriel Ohayon, Pierre Kosciusko-Morizet, Stephane Treppoz. Besides them, we counted 13 critical employees of this fund in our database.

Speaking about the real fund results, this VC is 26 percentage points more often commits exit comparing to other organizations. The top amount of exits for fund were in 2016. The common things for fund are deals in the range of 5 - 10 millions dollars. The fund is constantly included in 7-12 investment rounds annually. Comparing to the other companies, this Isai performs on 16 percentage points less the average number of lead investments. The important activity for fund was in 2018. Despite it in 2019 the fund had an activity.

Among the most popular portfolio startups of the fund, we may highlight BlaBlaCar, Vade Secure, Evaneos. The fund has no specific favorite in a number of founders of portfolio startups. When startup sums 5+ of the founder, the probability for it to get the investment is little. For fund there is a match between the location of its establishment and the land of its numerous investments - France. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. Among the most successful fund investment fields, there are Information Technology, Artificial Intelligence.

The usual cause for the fund is to invest in rounds with 2-3 partakers. Despite the Isai, startups are often financed by Wilco, AGORANOV, NUMA. The meaningful sponsors for the fund in investment in the same round are Serena, Bpifrance, Alven Capital. In the next rounds fund is usually obtained by Serena, Alven Capital, XAnge.

Show more

Investor highlights

Industry focus
B2B/EnterpriseCloud/InfrastructureAnalyticsClimate techTelecommunications Show 5 more
Stage focus
GeneralistSeedSeries CSeries APre-Seed Show 1 more
Geo focus
Generalist
Check size
108K — 5M

Discover reliable insights

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

Investments analytics

Last fund

Fund size
EUR 190000000
Fund raised date
2024-01-10

Analytics

Total investments
142
Lead investments
37
Exits
13
Rounds per year
10.14
Follow on index
0.40
Investments by industry
  • Software (46)
  • E-Commerce (29)
  • Internet (29)
  • Information Technology (20)
  • SaaS (18)
  • Show 141 more
Investments by region
  • France (120)
  • United States (17)
  • Germany (1)
  • Austria (1)
  • United Kingdom (2)
Peak activity year
2018
Number of Unicorns
3
Number of Decacorns
3

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
66M
Group Appearance index
0.80
Avg. company exit year
10
Avg. multiplicator
2.84
Strategy success index
0.50

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
Mercateam 11 Jun 2024 Early Stage Venture 5M New Aquitaine, France, France
Ondorse 26 Apr 2022 Software, Web Development Seed 2M Ile-de-France, Paris, France

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.