Dreampact Ventures
2
4M
2
0.67
- Stages of investment
- Areas of investment
Summary
Dreampact Ventures appeared to be the VC, which was created in 2018.
The current fund was established by Fued Sadala. Besides them, we counted 7 critical employees of this fund in our database.
Among the most successful fund investment fields, there are Information Technology, Analytics. Among the most popular portfolio startups of the fund, we may highlight Ryvit. Besides, a startup needs to be aged 4-5 years to get the investment from the fund.
The fund is generally included in less than 2 deals every year. The common things for fund are deals in the range of 1 - 5 millions dollars. The high activity for fund was in 2019.
The standard case for the fund is to invest in rounds with 4 partakers. The meaningful sponsors for the fund in investment in the same round are Serra Ventures, Hermann Companies, Dragon Capital.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 0
- Rounds per year
- 0.67
- Investments by industry
- Health Diagnostics (1)
- Medical Device (1)
- Health Care (1)
- Diagnostic Equipment (1)
- Construction (1) Show 5 more
- Investments by region
-
- United States (2)
- Peak activity year
- 2020
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
- Group Appearance index
- 1.00
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 |
---|---|---|---|---|---|
Ryvit | 22 Oct 2019 | Software, Analytics, Information Technology, SaaS, Data Integration, Construction | Seed | 3M | United States, Missouri, City of Saint Louis |
Similar funds
By same location
By same geo focus
By doing lead investments
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.