FM Capital

fmcap.com

Boulder, United States

Venture Capital

Active

Total investments

Average round size

34M

Portfolio companies

Lead investments

Follow on index

0.18

Exits

Stages of investment: Early Stage Venture
Areas of investment: AutomotiveSoftwareConsumerArtificial IntelligenceMachine LearningEnterprise SoftwareSoftware EngineeringAutonomous VehiclesHardwareFleet Management

Investor highlights

Industry focus: MobilityConsumer/RetailAI/Big DataClimate techMobility Show 1 more
Stage focus: Series ASeries B
Check size: 5M — 10M

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Investments analytics

Last fund

Fund size: USD 150000000
Fund raised date: 2021-05-27

Analytics

Total investments

Lead investments

Exits

Follow on index

0.18

Investments by industry

Automotive (11)
Autonomous Vehicles (7)
Software (4)
Artificial Intelligence (3)
Machine Learning (3)

Show 30 more

Investments by region

United States (14)
Germany (1)
Canada (1)
United Kingdom (1)

Peak activity year

2022

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Quantitative data

Avg. startup age at the time of investment: 6
Avg. valuation at time of investment: 32M
Group Appearance index: 1.00

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Latest deals

Company name	Deal date	Industry	Deal stage	Deal size	Location
Keynua	18 Mar 2019	Internet, Software, E-Signature	Seed	150K	Lima, Lima, Peru
Oxilight	11 May 2018	Health Care, Medical Device, Medical	Seed		Ontario, Old Toronto, Canada
RAVIN	16 Mar 2021	Automotive, Software, Machine Learning, Autonomous Vehicles, Auto Insurance	Early Stage Venture	15M	United Kingdom, London, England
Viaduct	04 Jun 2024	Business/Productivity Software, Automotive, Software, Machine Learning	Early Stage Venture	10M	United States, California

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Partners in Equity

Team

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View full list (4)

Charlie Hardwick

Managing Director

Charlie Hardwick

Managing Director

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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.