Unicorn Nest Logo

January Ventures

january.ventures
Type

Venture Capital

Status

Active

Location

Boston, United States

Total investments

17

Average round size

8M

Portfolio companies

15

Rounds per year

2.83

Follow on index

0.12

Stages of investment
Early Stage Venture
Areas of investment
SoftwareInformation TechnologyHuman ResourcesFood and BeverageHealth CareWellnessHardwareSnack FoodPublic SafetyFarming

Investor highlights

Industry focus
B2B/EnterpriseClimate techHealthcareFuture of Work
Stage focus
SeedPre-Seed
Geo focus
AlbaniaAustriaBelgiumBosnia and HerzegovinaBulgaria Show 37 more
Check size
100K — 1M

Discover reliable insights

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

Find investors

Investments analytics

Last fund

Fund size
USD 21000000

Analytics

Total investments
17
Lead investments
0
Rounds per year
2.83
Follow on index
0.12
Investments by industry
  • Information Technology (3)
  • Software (3)
  • Health Care (2)
  • Wellness (2)
  • Public Safety (2)
    • Show 29 more
Investments by region
  • United States (10)
  • United Kingdom (5)
Peak activity year
2023

Discover reliable insights

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

Quantitative data

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

Need more data?

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

Upgrade

Latest deals

Company name Deal date Industry Deal stage Deal size Location
Ntropy Network 12 Oct 2022 FinTech, Privacy Early Stage Venture 11M United States, California, San Francisco
Pensight 26 Jul 2021 Information Technology, Video, Consulting Seed 3M England, London, United Kingdom
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.