Chamaeleon

San Francisco, United States
Venture Capital
Active
Total investments

5

Average round size

9M

Portfolio companies

5

Rounds per year

1.67

Lead investments

2

Areas of investment
InternetInformation TechnologyArtificial IntelligenceMachine LearningHealth CareAppsMedicalPhoto EditingPhotographyVirtual Workforce

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Stage focus
SeedSeries A
Geo focus
Generalist
Check size
1M — 5M

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Investments analytics

Analytics

Total investments
5
Lead investments
2
Rounds per year
1.67
Investments by industry
  • Apps (2)
  • Artificial Intelligence (1)
  • Photography (1)
  • Machine Learning (1)
  • Photo Editing (1)
  • Show 12 more
Investments by region
  • United States (5)
Peak activity year
2021

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Quantitative data

Avg. startup age at the time of investment
4
Group Appearance index
1.00

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Talofa Games18 Jan 2024Fitness, Wellness, Apps, Online GamesSeed6MUnited States, California, Cupertino
Company nameDeal dateIndustryDeal stageDeal sizeLocation
KargoSep 6, 2026AI, Industrial AI, Supply Chain Management, Warehouse Operations-18400000 USD San Francisco, California
ChipAgents , a Santa Clara, CA-based provider of an agentic AI platform for the semiconductor design industryFeb 17, 2026Agentic AI Platform, Autonomous AI Agents, Semiconductor Design-50000000 USD
CA-based provider of an agentic AI platform for the semiconductor design industry, a Santa Clara
Biostate AIMay 21, 2025Artificial Intelligence, Biopharma, Biotech, Generative AI, RNA SequencingEarly stage12000000 USD Houston, Texas
LumafieldMar 14, 2025Athletic equipment, Consumer packaging, Electronics, High-volume manufacturing, Industrial X-ray CT technology, Medical devices, Product development-75000000 USD San Francisco, California
Path RoboticsOct 15, 2024AI-enabled robotic welding, artificial intelligence, machine learning, vision systems-100000000 USD Columbus, Ohio
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.