Construct Venture
8
5M
7
0.12
1
- Areas of investment
Summary
We also calculated 3 valuable employees in our database.
The standard case for the fund is to invest in rounds with 3-4 partakers. The meaningful sponsors for the fund in investment in the same round are StartupLab, SINTEF TTO & Venture, Round Hill Ventures.
The high activity for fund was in 2019. The fund is constantly included in 2-6 deals per year. The common things for fund are deals in the range of 10 - 50 millions dollars.
Among the most successful fund investment fields, there are Information Services, Public Safety. Among the most popular portfolio startups of the fund, we may highlight Spacemaker AI. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund.
Investments analytics
Analytics
- Total investments
- 8
- Lead investments
- 0
- Exits
- 1
- Follow on index
- 0.12
- Investments by industry
- Artificial Intelligence (4)
- Construction (3)
- Software (3)
- Real Estate (2)
- Information Technology (2) Show 11 more
- Investments by region
-
- Norway (6)
- Spain (2)
- Peak activity year
- 2019
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
- 4
- Avg. valuation at time of investment
- 34M
- Group Appearance index
- 1.00
- Avg. company exit year
- 4
- Avg. multiplicator
- 9.60
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 |
|---|---|---|---|---|---|
| Scaled Robotics | 03 Feb 2020 | Software, Artificial Intelligence, Robotics, Construction, Hardware | Seed | 2M | Barcelona, Catalonia, Spain |
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.