Airborne Ventures

São Paulo, Brazil
Venture Capital
Active
Total investments

14

Average round size

5M

Portfolio companies

11

Rounds per year

7.00

Lead investments

1

Follow on index

0.21

Stages of investment
SeedEarly Stage Venture
Areas of investment
InternetSoftwareInformation TechnologyArtificial IntelligenceHealth CareInsuranceInsurTechMarketingPsychologyVideo Editing

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistB2B/EnterpriseConsumer/Retail
Stage focus
SeedSeries ASeries B
Geo focus
Brazil
Check size
250K — 3M

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Investments analytics

Analytics

Total investments
14
Lead investments
1
Rounds per year
7.00
Follow on index
0.21
Investments by industry
  • Software (7)
  • Information Technology (5)
  • Psychology (2)
  • Health Care (2)
  • Internet (2)
  • Show 29 more
Investments by region
  • Brazil (12)
Peak activity year
2022

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Quantitative data

Avg. startup age at the time of investment
4
Group Appearance index
0.57

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
4intelligence01 Apr 2020Software, Information TechnologySeed2MMinas Gerais, Santa Rita Do Sapucaí, Brazil
VIPe23 Jun 2023Financial Services, FinTech, Human Resources, Credit, Consumer LendingEarly Stage Venture20MSão Paulo, Sao Paulo, Brazil
Company nameDeal dateIndustryDeal stageDeal sizeLocation
Angle HealthDec 3, 2025AI, Behavioral Health, Benefits Platform, Digital Health Solutions, Healthcare, Health Insurance, Telemedicine-134000000 USD San Francisco, California
hyptSep 8, 2025Marketing, SaaSEarly stage1650000 CHF Bern,
AiPriseAug 10, 2025Compliance Technology, KYC and KYB Processes, Onboarding Solutions-12500000 USD San Francisco, California
ParticulaApr 30, 2025AI-driven risk intelligence, Automated risk ratings, Digital assets, Financial institutions, Issuers, Trading facilities-5500000 USD Munich, Bavaria
MicruityApr 12, 2025Infrastructure, Lifetime Income Solutions, Retirement Solutions, Workplace Savings System-20000000 USD New York
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.