Rethink Impact

Type

Venture Capital

Status

Active

Location

Washington, United States

Total investments

51

Average round size

21M

Portfolio companies

36

Rounds per year

5.67

Lead investments

8

Follow on index

0.29

Exits

2

Stages of investment
SeedEarly Stage Venture
Areas of investment
SoftwareFinancial ServicesFinTechAnalyticsInformation TechnologyArtificial IntelligenceMachine LearningHealth CareAppsMarketplace

Summary

In 2015 was created Rethink Impact, which is appeared as VC. The venture was found in North America in United States. The main department of described VC is located in the White Plains.

The top activity for fund was in 2018. The usual things for fund are deals in the range of 10 - 50 millions dollars. When the investment is from Rethink Impact the average startup value is 10-50 millions dollars. The real fund results show that this VC is 22 percentage points more often commits exit comparing to other companies. The fund is constantly included in 2-6 deals per year.

This organization was formed by Jenny Abramson. The overall number of key employees were 4.

Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight EVERFI, Neurotrack, Classy. The fund has no exact preference in some founders of portfolio startups. In case when startup counts 5+ of the founder, the chance for it to get the investment is meager. Among the most popular fund investment industries, there are Medical, Hospital. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States.

The typical case for the fund is to invest in rounds with 6-7 participants. Despite the Rethink Impact, startups are often financed by TomorrowVentures, Social Capital, Reach Capital. The meaningful sponsors for the fund in investment in the same round are Salesforce Ventures, Social Capital, Reach Capital. In the next rounds fund is usually obtained by Salesforce Ventures, Khosla Ventures, Eric Schmidt.

Show more

Investor highlights

Lead investor
Yes
Industry focus
HealthcareClimate techEdtechCommunity/Social networkFintech
Stage focus
SeedSeries ASeries BSeries C
Check size
2M — 10M

Preferences and restrictions

Requirements for founders
Female LGBTQ

Discover reliable insights

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

Investments analytics

Last fund

Fund size
USD 182000000
Fund raised date
2020-07-09

Analytics

Total investments
51
Lead investments
8
Exits
2
Rounds per year
5.67
Follow on index
0.29
Investments by industry
  • Health Care (20)
  • Software (10)
  • Artificial Intelligence (8)
  • Analytics (8)
  • Machine Learning (8)
  • Show 75 more
Investments by region
  • United States (51)
Peak activity year
2021
Number of Unicorns
2
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
8
Avg. valuation at time of investment
416M
Group Appearance index
0.88
Avg. company exit year
5
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
Full Harvest 17 Dec 2021 E-Commerce, Retail, B2B, Food and Beverage, Marketplace, Sustainability, Agriculture, Farming Early Stage Venture 23M United States, California, San Francisco
MaxRetail 29 Apr 2024 Retail, B2B, Marketplace Early Stage Venture 15M United States, Florida, Palm Beach Gardens
Properly 25 Jun 2015 Real Estate, Internet, SaaS, Apps, Marketplace, Cloud Computing, Property Management, Hospitality Seed 0 United States, Atlanta, Georgia

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.