Funding London

London, United Kingdom
Government organization
Active
Total investments

1

Average round size

548K

Portfolio companies

1

Rounds per year

0.06

Areas of investment
SoftwareSaaSHome Health CareComputerElder Care

Investor highlights

Stage focus
Series ASeries B
Geo focus
AlbaniaAustriaBelgiumBosnia and HerzegovinaBulgaria Show 36 more

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
0.06
Investments by industry
  • Home Health Care (1)
  • Computer (1)
  • Elder Care (1)
  • Software (1)
  • SaaS (1)
Investments by region
  • United Kingdom (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
5
Group Appearance index
1.00

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
OnCare01 Mar 2018Software, SaaS, Home Health Care, Computer, Elder CareSeed548KEngland, London, United Kingdom
Company nameDeal dateIndustryDeal stageDeal sizeLocation
AiStrike , a San Francisco, CA-based cybersecurity company developing AI-native, preemptive cyber defense, raised $7M in Seed funding.Jan 21, 2026Agentic Cyber Defense as a Service, AI-native, Cybersecurity-7000000 USD
AiStrike
MueonSep 17, 2025AI, Hyperscale Computing, Semiconductor-15500000 USD Portland, Oregon
ConveyorJun 13, 2025AI Agents, AI-powered platform, B2B customer workflows, Generative AI, Questionnaire completion software, SaaS, Security and compliance, Security review automation-20000000 USD San Francisco, California
HydrolixMar 4, 2025AI/Machine Learning, Content Delivery, Cybersecurity, Data Lake Platform, Data Management Platform, Digital Advertising, Observability, Regulatory Compliance, Security, Streaming Data Lake-80000000 USD Portland, Oregon
PlatformrOct 16, 2024AWS, CloudOpsEarly stage2500000 USD Bend, Oregon
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.