Rackhouse Venture Capital

Menlo Park, United States
Venture Capital
Active
Total investments

13

Average round size

6M

Portfolio companies

12

Lead investments

2

Follow on index

0.08

Exits

1

Areas of investment
LogisticsSoftwareFinancial ServicesFinTechArtificial IntelligenceMachine LearningSaaSEnterprise SoftwarePaaSNatural Language Processing

Investor highlights

Industry focus
AI/Big Data
Stage focus
Seed
Geo focus
Generalist

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Investments analytics

Last fund

Fund size
USD 45000000
Fund raised date
2024-01-25

Analytics

Total investments
13
Lead investments
2
Exits
1
Follow on index
0.08
Investments by industry
  • Software (5)
  • Artificial Intelligence (4)
  • Machine Learning (3)
  • FinTech (3)
  • SaaS (3)
  • Show 25 more
Investments by region
  • United States (12)
  • Kenya (1)
Peak activity year
2022

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Quantitative data

Avg. startup age at the time of investment
3
Group Appearance index
0.92

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Fincluster06 May 2014Software, Financial Services, Information TechnologySeed59KEngland, London, United Kingdom
Fishtail22 Mar 2022Logistics, Financial Services, FinTechSeed4MUnited States, Massachusetts, Boston
Sorcero12 Jul 2021Software, Artificial Intelligence, Machine Learning, Enterprise Software, PaaS, Natural Language ProcessingEarly Stage VentureUnited States, District of Columbia, Washington
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.