ServiceNow Ventures

Type

CVC

Status

Active

Location

Santa Clara, United States

Total investments

17

Average round size

128M

Portfolio companies

17

Lead investments

3

Stages of investment
Early Stage Venture
Areas of investment
SoftwareAnalyticsInformation TechnologyArtificial IntelligenceMachine LearningSaaSEnterprise SoftwareCyber SecuritySecurityCloud Security

Investor highlights

Industry focus
Cloud/InfrastructureManufacturingAI/Big Data
Geo focus
Generalist

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Analytics

Total investments
17
Lead investments
3
Investments by industry
  • SaaS (7)
  • Artificial Intelligence (6)
  • Information Technology (4)
  • Cyber Security (4)
  • Analytics (4)
  • Show 36 more
Investments by region
  • United States (15)
  • France (1)
  • India (1)
Peak activity year
2023
Number of Unicorns
2
Number of Decacorns
3
Number of Minotaurs
3

Discover reliable insights

Leverage validated data, identify key contacts and secure funding opportunities for your business.

Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
1B
Group Appearance index
0.76
Strategy success index
0.40

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company name Deal date Industry Deal stage Deal size Location
Asilomar Bio 03 Nov 2015 Biotechnology, AgTech, Agriculture, Farming Early Stage Venture 3M United States, California, San Francisco
Baffle, Inc. 17 Jan 2018 Analytics, Artificial Intelligence, Machine Learning, SaaS, Cyber Security, Security, Content, Enterprise Applications, Cloud Security, Privacy Early Stage Venture 6M United States, California, San Jose
Mistral AI 11 Jun 2024 Early Stage Venture 552M Ile-de-France, Paris, France

Similar funds

By same location

By same geo focus

By doing lead investments

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.