Accenture Ventures

London, United Kingdom
CVC
Active
Total investments

54

Average round size

12M

Portfolio companies

46

Rounds per year

6.00

Lead investments

13

Follow on index

0.15

Stages of investment
Early Stage Venture
Areas of investment
SoftwareInformation TechnologyHuman ResourcesArtificial IntelligenceMachine LearningSaaSEnterprise SoftwareBig DataBusiness IntelligenceVirtual Reality

Investor highlights

Industry focus
Future of WorkCloud/InfrastructureCybersecurity
Stage focus
Series ASeries BSeries CSeries DSeries E

Discover reliable insights

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

Investments analytics

Analytics

Total investments
54
Lead investments
13
Rounds per year
6.00
Follow on index
0.15
Investments by industry
  • Software (26)
  • Information Technology (12)
  • Artificial Intelligence (10)
  • Enterprise Software (8)
  • SaaS (8)
  • Show 83 more
Investments by region
  • United States (33)
  • United Kingdom (5)
  • Canada (3)
  • Israel (2)
  • Switzerland (1)
  • Show 6 more
Peak activity year
2021
Number of Unicorns
1
Number of Decacorns
1

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
81M
Group Appearance index
0.50

Need more data?

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

Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Mobeus Industries18 Oct 2022Human Computer InteractionEarly Stage Venture12MUnited States, New Jersey, Sparta
Prevailion04 May 2021Artificial Intelligence, Machine Learning, Business Intelligence, Cyber Security, Predictive AnalyticsEarly Stage Venture45MUnited States, Maryland

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.