Transformation Capital

Type

Venture Capital

Status

Active

Location

Boston, United States

Total investments

56

Average round size

50M

Portfolio companies

39

Rounds per year

11.20

Lead investments

8

Follow on index

0.30

Exits

4

Areas of investment
SoftwareAnalyticsArtificial IntelligenceHealth CareHospitalWellnessMedicalPharmaceuticalTherapeuticsmHealth

Investor highlights

Industry focus
Healthcare

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Investments analytics

Last fund

Fund size
USD 800000000
Fund raised date
2022-04-18

Analytics

Total investments
56
Lead investments
8
Exits
4
Rounds per year
11.20
Follow on index
0.30
Investments by industry
  • Health Care (50)
  • Medical (22)
  • Software (13)
  • Wellness (10)
  • Pharmaceutical (8)
  • Show 58 more
Investments by region
  • United States (54)
  • New Zealand (2)
Peak activity year
2020
Number of Unicorns
4
Number of Decacorns
4

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Quantitative data

Avg. startup age at the time of investment
9
Avg. valuation at time of investment
346M
Group Appearance index
0.84
Avg. company exit year
7
Avg. multiplicator
3.40
Strategy success index
0.90

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
RapidSOS 10 Jun 2020 Mobile Apps, mHealth, Public Safety Late Stage Venture 21M United States, New York, New York
Tebra 06 Jul 2022 Health Care, Electronic Health Record (EHR) Early Stage Venture 72M United States, California, Corona Del Mar
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.