Niya Partners

niya.vc

Miami, United States

Venture Capital

Active

Total investments

Average round size

22M

Portfolio companies

Follow on index

0.50

Stages of investment: Early Stage VentureLate Stage Venture
Areas of investment: Asset ManagementFinancial ServicesFinTechFinanceMobile PaymentsWealth Management

Investor highlights

Industry generalist: Yes
Industry focus: GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Stage focus: Series ASeries BSeries C
Geo focus: Generalist
Check size: 1M — 10M

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Investments analytics

Analytics

Total investments

Lead investments

Follow on index

0.50

Investments by industry

Mobile Payments (2)
Asset Management (2)
Finance (2)
Financial Services (2)
FinTech (2)

Show 1 more

Investments by region

Mexico (2)

Peak activity year

2022

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Quantitative data

Avg. startup age at the time of investment: 3
Group Appearance index: 1.00

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Latest deals

Company name	Deal date	Industry	Deal stage	Deal size	Location
Kapital	25 May 2023	Asset Management, Financial Services, FinTech, Finance, Mobile Payments, Wealth Management	Early Stage Venture	24M	Distrito Federal, Mexico City, Mexico

Company name	Deal date	Industry	Deal stage	Deal size	Location
Tiga	May 3, 2025	AI, Email and LinkedIn Outreach, Personalized Outreach, Sales Technology	-	2000000 USD	Reston, Virginia
Herald	Oct 16, 2024	AI, API, Digital Infrastructure, Insurance	-	12000000 USD	New York
Ferretly	Jun 6, 2023	AI, SaaS, Social Media Screening	Early stage	1500000 USD	Easton, Maryland
Levitate	Apr 28, 2023	AI, Happiness Platform, Platform, Relationship-based businesses, Relationship-based Businesses, SaaS	-	14000000 USD	Raleigh, North Carolina
Oleria	Mar 21, 2023	Adaptive and Autonomous Access Solutions, Security	Early stage	8000000 USD	Seattle, Washington

Team

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View full list (3)

Grahme Taylor

Partner

Grahme Taylor

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.