Renegade Partners

San Francisco, United States
Venture Capital
Active
Total investments

25

Average round size

31M

Portfolio companies

16

Lead investments

5

Follow on index

0.36

Areas of investment
SoftwareFinancial ServicesHuman ResourcesRecruitingAppsEnterprise SoftwareDeliveryEducationConsultingEmployment

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Check size
10M

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Investments analytics

Last fund

Fund size
USD 128000000
Fund raised date
2022-04-08

Analytics

Total investments
25
Lead investments
5
Follow on index
0.36
Investments by industry
  • Software (15)
  • Enterprise Software (6)
  • Consulting (5)
  • Apps (4)
  • Financial Services (4)
  • Show 46 more
Investments by region
  • United States (17)
  • Israel (3)
  • Colombia (1)
Peak activity year
2021
Number of Unicorns
2
Number of Decacorns
2

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Quantitative data

Avg. startup age at the time of investment
5
Avg. valuation at time of investment
195M
Group Appearance index
1.00
Strategy success index
0.30

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
RippleMatch20 Apr 2021Software, Human Resources, Recruiting, Enterprise Software, Delivery, Education, Consulting, EmploymentEarly Stage Venture23MUnited States, New York, New York
Spekit19 Jan 2022Software, B2B, SaaS, Enterprise Software, Corporate Training, Training, Big Data, Knowledge Management, CRMEarly Stage Venture45MUnited States, Colorado, Denver
Company nameDeal dateIndustryDeal stageDeal sizeLocation
AllegoJun 8, 2024Charging Infrastructure, Electric Mobility, Electric Vehicle Network, Proprietary Software-20000000 EUR Arnhem, Gelderland
Invent AnalyticsDec 6, 2022AI-based Advanced Analytics, Omni-channel Retail, Retail Planning SolutionsEarly stage7500000 USD Philadelphia, Pennsylvania
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.