Millennium Technology Value Partners

Type

Venture Capital

Status

Active

Location

New York, United States

Total investments

57

Average round size

25M

Portfolio companies

42

Rounds per year

2.48

Lead investments

7

Follow on index

0.25

Exits

17

Stages of investment
Private EquityEarly Stage VentureLate Stage Venture
Areas of investment
AutomotiveSoftwareInformation TechnologyArtificial IntelligenceMachine LearningSaaSRoboticsSecurityAutonomous VehiclesSocial Media

Summary

Millennium Technology Value Partners appeared to be the VC, which was created in 2002. The fund was located in North America if to be more exact in United States. The leading representative office of defined VC is situated in the New York.

This organization was formed by Daniel L. Burstein, Samuel L. Schwerin. The overall number of key employees were 3.

Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. The fund has no specific favorite in a number of founders of portfolio startups. When startup sums 4 of the founder, the probability for it to get the investment is little. Among the most popular portfolio startups of the fund, we may highlight Fair, Kik Interactive, Onix Microsystems. Among the most successful fund investment fields, there are Identity Management, Security.

The common things for fund are deals in the range of 10 - 50 millions dollars. When the investment is from Millennium Technology Value Partners the average startup value is 100-500 millions dollars. The important activity for fund was in 2018. The fund is generally included in less than 2 deals every year. Speaking about the real fund results, this VC is 1 percentage points more often commits exit comparing to other organizations. The higher amount of exits for fund were in 2019. Comparing to the other companies, this Millennium Technology Value Partners performs on 12 percentage points less the average number of lead investments.

The typical case for the fund is to invest in rounds with 5-6 participants. Despite the Millennium Technology Value Partners, startups are often financed by Intel Capital, BMW i Ventures, Y Combinator. The meaningful sponsors for the fund in investment in the same round are NEXT Frontier Capital, Intel Capital, BMW i Ventures. In the next rounds fund is usually obtained by OMERS Ventures, NEXT Frontier Capital, Accel.

Show more

Investor highlights

Stage focus
GeneralistSeed

Discover reliable insights

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

Investments analytics

Analytics

Total investments
57
Lead investments
7
Exits
17
Rounds per year
2.48
Follow on index
0.25
Investments by industry
  • Artificial Intelligence (14)
  • Machine Learning (10)
  • Software (10)
  • Security (9)
  • Autonomous Vehicles (8)
  • Show 99 more
Investments by region
  • United States (51)
  • United Kingdom (1)
  • Canada (3)
  • China (1)
Peak activity year
2018
Number of Unicorns
5
Number of Decacorns
7
Number of Minotaurs
5

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
14
Avg. valuation at time of investment
2B
Group Appearance index
0.82
Avg. company exit year
8
Avg. multiplicator
3.96
Strategy success index
0.60

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
Annotate.net 29 Jun 2000 Web Development, Ad Network Early Stage Venture 3M United States, New York, New York
Gori Company 25 Mar 2023 Logistics, Supply Chain Management, Information Technology, Shipping Seed 6M United States, California, Santa Fe Springs

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.