Watermark Venture Capital

watermarkvc.com

Newport Beach, United States

Venture Capital

Active

Total investments

Average round size

140K

Portfolio companies

Rounds per year

0.43

Exits

Areas of investment: Supply Chain ManagementSoftwareMobileArtificial IntelligenceMachine LearningHealth CareEnterprise SoftwareMedical DeviceMedicalCleanTech

Investor highlights

Industry focus: RoboticsAI/Big DataAgricultureLogisticsGaming/Esports
Stage focus: SeedSeries A
Geo focus: United States, California

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Investments analytics

Analytics

Total investments

Lead investments

Exits

Rounds per year

0.43

Investments by industry

Medical (2)
Software (2)
Health Care (1)
Enterprise Software (1)
Medical Device (1)

Show 6 more

Investments by region

United States (3)

Peak activity year

2016

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Quantitative data

Avg. startup age at the time of investment: 7

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Latest deals

Company name	Deal date	Industry	Deal stage	Deal size	Location
Xsust	01 Jan 2018	Software, Artificial Intelligence, Machine Learning, Product Management, CleanTech	Seed		United States, California, Orange

Company name	Deal date	Industry	Deal stage	Deal size	Location
EPG , a Singapore-based modular and prefabricated data center infrastructure company	Jan 29, 2026	Cloud, Data Center Infrastructure, Enterprise, Hyperscale	-	100000000 USD	a Singapore-based modular and prefabricated data center infrastructure company
Dealism	Nov 13, 2025	AI, AI-driven sales agent, Sales Intelligence, Strategic sales intelligence	-	15000000 USD	Singapore
Airgram	Sep 11, 2022	Audio and Video Recording, Collaborative Features, Meeting Productivity Software, Real-time Transcription	-	10000000 USD	Singapore

Team

Discover decision-makers who fit your target profile.

Mangesh Mahajan

Partner

Mangesh Mahajan

Partner

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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.